BIBLIOGRAPHY::  

time geography · ICT · temporal GIS · spatio-temporal analysis · others

(Note: This web page will be updated periodically.)
Time Geography
  1. Ahmed, N. and H. Miller (2007). Time-space transformations of geographic space for exploring, analyzing and visualizing transportation systems. Journal of Transport Geography, 15(1), 2-17.
  2. Belanger, F. (1999). Workers' propensity to telecommute: An empirical study. Information & Management, 35, 139-153.
  3. Black, W. (2004). Recent developments in US transport geography. In D. Hensher, K. Button, K. Haynes and P. Stopher (eds.) Handbook of Transport 5: Transport Geography and Spatial Systems. London: Elsevier Science, 630-646.
  4. Carlstein, T., D. Parkes and N. Thrift (eds.) (1978). Timing Space and Spacing Time Volume 2: Human Activity and Time Geography. New York: John Wiley & Sons.
  5. Ellegård, K. (1999). A time-geographical approach to the study of everyday life of individuals – a challenge of complexity. GeoJournal, 48, 167-175.
  6. Golledge, R. and R. Stimson (1997). Spatial Behavior: A Geographic Perspective. New York: The Guilford Press.
  7. Hägerstrand, T. (1970). What about people in regional science? Papers of the Regional Science Association, 24, 1-12.
  8. Harvey, A. (2004). Time use and activity systems. In D. Hensher, K. Button, K. Haynes and P. Stopher (eds.) Handbook of Transport 5: Transport Geography and Spatial Systems. London: Elsevier Science, 630-646.
  9. Janelle, D. (1995). Metropolitan expansion, telecommuting, and transportation. In S. Hanson (eds.) The Geography of Urban Transportation. New York: The Guilford Press, 407-434.
  10. Janelle, D. (2004). Impact of information technologies. In S. Hanson and G. Giuliano (eds.) The Geography of Urban Transportation, third edition. New York: The Guilford Press, 86-112.
  11. Kenyon, S. (2006). The 'accessibility diary': Discussing a new methodological approach to understand the impact of Internet use upon personal travel and activity participation. Journal of Transport Geography, 14(2), 123-134.
  12. Knowles, R. (2006). Transport shaping space: differential collapse in time-space. Journal of Transport Geography, 14(6), 407-425.
  13. Kwan, M-P. (2000a). Human extensibility and individual hybrid-accessibility in space-time: a multi-scale representation using GIS. In D. Janelle and D. Hodge (eds.) Information, Place, and Cyberspace: Issues in Accessibility. Berlin: Springer-Verlag, 241-256.
  14. Kwan, M-P. (2000b). Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set. Transportation Research C, 8,185-203.
  15. Kwan, M-P. and J. Lee (2003). Geovisualization of human activity patterns using 3D GIS: a time-geographic approach. In M. Goodchild and D. Janelle (eds.) Spatially Integrated Social Science: Examples in Best Practice. Oxford: Oxford University Press.
  16. Kwan, M-P. (2006). Transport geography in the age of mobile communications. Journal of Transport Geography. 14(5), 384-385.
  17. Kurland, N. and D. Bailey (1999). The advantages and challenges of working here, there, anywhere, and anytime. Organization Dynamics, 53-68.
  18. Lenntorp, B. (1976). Paths in Space-Time Environments: A Time Geographic Study of Movement Possibilities of Individuals. Lund Studies in Geography B: Human Geography. Lund: Gleerup.
  19. Miller, H. (1991). Modeling accessibility using space-time prism concepts within geographical information systems. International Journal of Geographical Information Systems, 5, 287-301.
  20. Miller, H. (1999). Measuring space-time accessibility benefits within transportation networks: basic theory and computational methods. Geographical Analysis, 31, 187-212.
  21. Miller, H. (2003b). What about people in geographic information science? Computers, Environment and Urban Systems, 27(5), 447-453.
  22. Miller, H. (2004). Activities in space and time. In D. Hensher, K. Button, K. Haynes and P. Stopher (eds.) Handbook of Transport 5: Transport Geography and Spatial Systems. London: Elsevier Science, 647-660.
  23. Miller, H. (2005a). A measurement theory for time geography. Geographical Analysis, 37(1), 17-45.
  24. Miller, H. (2005b). Necessary space-time conditions for human interaction. Environment and Planning B: Planning and Design, 32, 381-401.
  25. Miller, H. and S.-L. Shaw (2001). Geographic Information Systems for Transportation: Principals and Applications. New York: Oxford University Press.
  26. Mokhtarian, P. and M. Bagley (1998). The impact of gender, occupation, and presence of children on telecommuting motivations and constraints. Journal of the American Society for Information Science, 49(12), 1115-1134.
  27. Neutens, T., Witlox, F., Weghe, N., and Maeyer, P. (2007). Space-time opportunities for multiple agents: a constraint-based approach. International Journal of Geographical Information Science, 21(10), 1061-1076.
  28. Parkes, D. and N. Thrift (1980). Times, Spaces, and Places : A Chronogeographic Perspective. New York: John Wiley.
  29. Pred, A. (1977). The choreography of existence: comments on Hägerstrand’s time-geography and its usefulness. Economic Geography, 53(2), 207-221.
  30. Raubal, M., Winter, S., Teβmann and C. Gaisbauer (2007). Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks. ISPRS Journal of Photogrammetry & Remote Sensing, 62, 366-381.
  31. Shaw, S-L. and Yu, H. (2009). A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space, Journal of Transport Geography, forthcoming.
  32. Shaw, S-L., Yu, H. and Bombom, L. (2008). A space-time GIS approach to exploring large individual-based spatiotemporal datasets. Transactions in GIS, forthcoming (accepted for publication).
  33. Timmermans, H., T. Arentze and C. Joh (2002). Analysing space-time behaviour: new approaches to old problems. Progress in Human Geography, 26(2), 175-190.
  34. Wachowicz, M. (1999). Object-Oriented Design for Temporal GIS. London: Taylor & Francis.
  35. Yu, H. (2006). Spatio-temporal GIS design for exploring interactions of human activities. Cartography and Geographic Information Science, 33(1), 3-19.
  36. Yu, H. and S-L. Shaw (2007). Revisiting Hägerstrand’s time-geographic framework for individual activities in the age of instant access, In H. Miller (ed.) Societies and Cities in the Age of Instant Access, Dordrecht, The Netherlands: Springer Science, 103-118.
  37. Yu, H. and S-L. Shaw (2008). Exploring potential human activities in physical and virtual spaces: A spatio-temporal GIS approach. International Journal of Geographic Information Science, 22(4), 409-430.
[Top · time geography · ICT · temporal GIS · spatio-temporal analysis · others]
ICT and Transportation
  1. Bagley, M. and P. Mokhtarian (1997). Analyzing the preference for non-exclusive forms of telecommuting: Modeling and policy implications. Transportation, 24, 203-226.
  2. Beasley, R., E. Lomo-David and V. Seubert (2001). Telework and gender: implications for the management of information technology professionals. Industrial Management & Data Systems, 101(9), 477-482.
  3. Belanger, F. (1999). Workers' propensity to telecommute: An empirical study. Information & Management , 35, 139-153.
  4. Bell, S. (2002). Surfing the third wave: experiential reflections on new working practices. Systemic Practice and Action Research, 15(1), 67-82.
  5. Bentley, K. and P. Yoong (2000). Knowledge work and telework: an exploratory study. Internet Research: Electronic Networking Applications and Policy, 10, 346-356.
  6. Bernardino, A., Ben-Akiva, M. and I. Salomon (1993). Stated-preference approach to modeling the adoption of telecommuting. Transportation Research Record, 1413, 22-30.
  7. Black, W. (2001). An unpopular essay on transportation. Journal of Transport Geography, 9, 1-11.
  8. Boden, R. (1999). Flexible working hours, family responsibilities and female self-employment: Gender differences in self-employment selection. American Journal of Economics and Sociology, 58(1), 71-83.
  9. Buhalis, D. (2004). eAirlines: strategic and tactical use of ICTs in the airline industry. Information & Management, 41(7), 805-825.
  10. Cairncross, F. (1997). The Death of Distance: How the Communications Revolution Will Change Our Lives? Boston, MA: Harvard Business School Publishing.
  11. Choo, S., Mokhtarian, P.L. and I. Salomon (2005). Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the US. Transportation, 32, 37-64.
  12. Clear, F. and K. Dickson (2005). Teleworking practice in small and medium-sized firms: managemt styple and worker autonomy. New Technology, Work and Employment, 20(3), 218-233.
  13. Cohen-Blankshtain, G., Nijkamp, P. and K. Montfort (2004). Modelling ICT perceptions and views of urban front-liners. Urban StudiesI, 41(3), 2647-2667.
  14. Collins. M (2005). The (not so simple) case for teleworking: a study at Lloyd's of London. New Technology, Work and Employment, 20(2), 115-132.
  15. Couclelis. H. (2004). Pizza over the Internet: e-commerce, the fragmentation of activity and the tyranny of the region. Entrepreneurship & Regional Development, 16, 41-54.
  16. Crowley, J. (1998). Virtual logistics: transport in the marketspace. International Journal of Physical Distribution & Logistics, 28(7), 547-574.
  17. Daduna, J. R. and B. Lenz (2005). Online shopping and changes in mobility. Distribution Logistics, 6, 65-84.
  18. Davis, D. and K. Polonko (2001). Telework America 2001 Summary. Silver Spring, MD: The International Telework Association and Council (ITAC).
  19. Dijst, M., Farag, S., and T. Schwanen (2008). A comparative study of attitude theory and other theoretical models for in-store and online shopping. Environment and Planning A, 40, 831-847.
  20. Ellegård, K., and B. Vilhelmson (2004). Home as a pocket of local order: everyday activities and the friction of distance. Geografiska Annaler part B, 86, 223-238.
  21. Farag, S., Dijst, M and T. Schwanen (2003). Exploring the use of e-shopping and its impact on personal travel behaviour in the Netherlands.
  22. Farag, S., Krizek, K.J. and M. Dijst (2006). E-shopping and its relationship with in-store shopping: empirical evidence from the Netherlands and the USA. Transport Reviews, 26, 43-61.
  23. Farag, S., Schwanen, T. and M. Dijst (2005). Online searching and buying and their relationship with shopping trips empirically investigated. Transportation Research Record, 1926, 242-251.
  24. Farag, S., Schwanen, T., Dijst, M. and Faber, J. (2007). Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping. Transportation Research Part A, 41, 125-141. Transportation Research Record, 1858, 47-54.
  25. Farag, S., Weltevreden, J., Van Rietbergen, T., Dijst, M. and Van Oort, F. (2006). E-shopping in the Netherlands: does geography matter? Environment and Planning part B, 33, 59-74.
  26. Ferrell, C. (2004). Home-Based teleshoppers and shopping travel: Do teleshoppers travel less? Paper presented at 83th Annual Meeting of the Transportation Research Board, Washington, D.C.
  27. Golob, T. and A. Regan (2001). Impacts of information technology on personal travel and commercial vehicle operations: Research challenges and opportunities. Transportation Research Part C, 9, 87-121.
  28. Gould, J. and T. Golob (2002). Consumer e-commerce, virtual accessibility, and sustainable transport. In W. Black and P. Nijkamp (eds.) Social Change and Sustainable Transport. Bloomington, Indiana: Indiana University Press, 279-285.
  29. Graaff, T. and P. Rietveld (2007). Substitution between working at home and out-of-home: The role of ICT and commuting costs. Transportation Research Part A, 41, 142-160.
  30. Graham, S. (1998). The end of geography or the explosion of space? Conceptualizing space, place and information technology. Progress in Human Geography, 22(2), 165-185.
  31. Haddad, H., and G. Lyons (2008). An exploration of demographic, work, home and commute aspects of part-day and whole-day homeworking. Paper presented at Third International Specialist Meeting on ICT, Everyday Life and Urban Change, Coombe Lodge, Bristol, UK, March 16-19, 2008.
  32. Haddon, L. and M. Brynin (2005). The character of telework and the characteristics of teleworkers. New Technology, Work and Employment, 20(1), 34-46.
  33. Hanson, S. (1998). Off the road? Refection on transportation geography in the information age. Journal of Transport Geography, 6(4), 241-249.
  34. Harvey, A. and P. Macnab (2000). “Who’s up? Global interpersonal accessibility” in D. Janelle and D. Hodge (eds.) Information, Place and Cyberspace: Issues in Accessibility. Berlin: Springer, 147-170.
  35. Handy, S. and P. Mokhtarian (1996) The future of telecommuting. Future, 28(3), 227-240.
  36. Helminen, V. and M. Ristimäki (2007). Relationships between commuting distance, frequency and telework in Finland. Journal of Transport Geography, 15(5), 331-342.
  37. Henderson, D. K., and P.L.Mokhtarian (1996). Impacts of center-based telecommuting on travel and emissions: analysis of the Puget Sound Demonstration Project. Transportation Research part D, 1, 29-45.
  38. Hjorthol, R. (2002). The relation between daily travel and use of the home computer. Transportation Research part A, 36, 467-452.
  39. Hjorthol, R. (2003). A comprehensive study of the relation between teleworking and transport. Oslo: Institute of Transport Economics, Report 691/2003.
  40. Hjorthol, R. (2006). Teleworking in some Norwegian urban areas - motives and transport effect. Urban Geography, 27, 610-627.
  41. Hjorthol, R., Hovland Jakobsen, M., Ling, R., Nordbakke, S. and L. Haddon (2005). Mobility in everyday life: a qualitative study of the use of car and ICT in families with children. Oslo: Institute of Transport Economics, Report 754/2005.
  42. HOP Associates. (2002) The impact of information and communications technologies on travel and freight distribution patterns: Review and assessment of literature. Final report submitted to Department for Transport, Local Government and the Region, January 2002.
    http://www.virtual-mobility.com/report.htm
  43. Hubers, C., Schwanen, T. and M. Dijst (2007). Exploring the fragmentation of activity gold mine: the influence of ICT-use on daily activity patterns. Paper in the 86th Annual Meeting of the Transportation Research Board, 21-25 January 2007, Washington, D.C.
  44. Janelle, D. (1995). Metropolitan expansion, telecommuting, and transportation. In S. Hanson (eds.) The Geography of Urban Transportation. New York: The Guilford Press, 407-434.
  45. Janelle, D. (2004). Impact of information technologies. In S. Hanson and G. Giuliano (eds.) The Geography of Urban Transportation, third edition. New York: The Guilford Press, 86-112.
  46. Kenyon, S. and G. Lyons (2007). Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance. Transportation Research Part A, 41, 161-175.
  47. Kenyon, S., Rafferty, J. and G. Lyons (2003). Social exclusion and transport: a role for virtual accessibility in the alleviation of mobility-related social exclusion? Journal of Social Policy, 32, 317-338.
  48. Kippenberger, T. (2000). The diminishing need for a physical presence-moving work to the worker. telework, 26, 27-30.
  49. Koppelman, F., Salomon I., and K. Proussaloglou (1991). Teleshopping or store-shopping: a choice model for forecasting the use of new telecommunications-based services. Environment and Planning part B, 18, 473-489.
  50. Kowalski, K. and J. Swanson (2005). Critical success factors in developing teleworking programs. An International Journal, 12(3), 236-249.
  51. Kurland, N. and D. Bailey (1999). The advantages and challenges of working here, there, anywhere, and anytime. Organization Dynamics, 53-68.
  52. Kwan, M-P. (1999). Gender, the home-work link, and space-time patterns of nonemployment activities. Economic Geography, 75(4), 370-394.
  53. Kwan, M-P. (1999). Gender and individual access to urban opportunities: A study using space-time measures. Access to Urban opportunities, 51(2), 210-227.
  54. Kwan, M-P. (2000). Gender differences in space-time constraints. Area, 32(2), 145-156.
  55. Kwan, M-P. (2001). Cyberspatial cognition and individual access to information: The behavioral foundation of cybergeography. Environment and Planning part B, 28, 21-37.
  56. Kwan, M-P. (2007). Mobile Communications, Social Networks, and Urban Travel: Hypertext as a New Metaphor for Conceptualizing Spatial Interaction. The Professional Geographer, 54(4), 434-446.
  57. Kwan, M.-P., Dijst, M., and T. Schwanen (2007). The interaction between ICT and human activity-travel behavior. Transportation Research part A, 41, 121-124.
  58. Laan, L., F. Oort and O. Raspe (2005). Regional change of ICT using industries in the Netherlands. Tijdschrift voor Economische en Sociale Geografie, 96(5), 585-592.
  59. Lee, K. and S. Tan (2003). E-retailing versus physical retailing - A theoretical model and empirical test of consumer choice, Journal of Business Research, 56(11), 877-885. Mann, S. and L. Holdsworth (2003). The psychological impact of teleworking: stress, emotions and health. New Technology, Work and Employment, 18(3), 196-211.
  60. Lenz, B. and C. Nobis (2007). The changing allocation of activities in space and time by the use of ICT - "Fragmentation" as a new concept and empirical results. Transportation Research Part A, 41, 190-204.
  61. Licoppe C. (2004). 'Connected Presence': the emergence of a new repertoire for managing social relationships in a changing communication technoscape. Environment and Planning part D, 22, 135-156.
  62. Licoppe C., and Z. Smoreda (2005). Are social networks technologically embedded? How networks are changing today with changes in communication technology. Social Networks, 27, 317-335.
  63. Lund, J.R., and P.L. Mokhtarian (1994). Telecommuting and residential location: theory and implications for commute travel in the monocentric metropolis. Transportation Research Record, 1463, 10-14.
  64. Miller, H. (2003). Travel chances and social Exclusion. Resource paper in 10th International Conference on Travel Behavior Research, Lucerne, Switzerland, 10-14th August, 2003.
  65. Mitomo, H. and T. Jitsuzurni (1999). Impact of telecommuting on mass transit congestion: the Tokyo case. Telecommunications Policy, 23, 741-751.
  66. Mokhtarian, P. (1990). A typology of relationships between telecommunications and transportation. Transportation Research A, 24(3), 231-242.
  67. Mokhtarian, P. and I. Salomon (1997). Modeling the Desire to Telecommute: The Importance of Attitudinal Factor in Behavioral Models. Transportation Research A, 31(1), 35-50.
  68. Mokhtarian, P. (1998). A synthetic approach to estimating the impacts of telecommuting on travel, Urban Studies, 35(2), 215-241.
  69. Mokhtarian, P. and M. Bagley (1998). The impact of gender, occupation, and presence of children on telecommuting motivations and constraints. Journal of the American Society for Information Science, 49(12), 1115-1134.
  70. Mokhtarian, P. and R. Meenakshisundaram (1999). Beyond tele-substitution: disaggregate longitudinal structural equations modeling of communication impacts. Transportation Research C, 7, 33-52.
  71. Mokhtarian, P. (2002). Patterns of telecommuting engagement and frequency: A cluster analysis of telecenter users. Prometheus, 20(1), 21-37.
  72. Mokhtarian, P. (2003). Telecommunications and Travel: The Case for Complementarity. Journal of Industrial Ecology, 6(2), 43-58.
  73. Mokhtarian, P. (2004). A conceptual analysis of the transportation impacts of B2C e-commerce. Transportation, 31(3), 257-284.
  74. Mokhtarian, P., I. Salomon and S. Choo (2005). Measuring the measurable: Why can't we agree on the number of telecommuters in the U.S.? Quality & Quantity, 39, 423-452.
  75. Muhammad, S., Jong, T. and H.F.L. Ottens. (2008). Job accessibility under the influence of information and communication technologies, in the Netherlands. The Journal of Transport Geography, 16(3), 203-216.
  76. Nagurney, A., Dong, J., and P.L. Mokhtarian (2002). Multicriteria network equilibrium modeling with variable weights for decision-making in the information age, with applications to telecommuting and teleshopping. Journal of Economic Dynamics and Control, 26, 1629-1650.
  77. Nagurney, A., Dong, J., and P.L. Mokhtarian (2003). A space-time network for telecommuting versus commuting decision-making. Papers in Regional Science, 82, 451-473.
  78. Nobis, C., and B. Lenz (2004). Changes in transport behavior by the fragmentation of activities. Transportation Research Record, 1894, 249-257.
  79. Nobis, C., and B. Lenz (2007). The changing allocation of activities in space and time by the use of ICT: 'Fragmentation' as a new concept and empirical results. Transportation Research part A, 41, 190-204.
  80. Nobis, C., Lenz, B. and C. Vance (2007). Communication and travel behaviour: two facets of human activity patterns. In: H.J.P. Timmermans editor, Progress in Activity-Based Analysis. Oxford, Elsevier.
  81. Nunes, F. (2005). Most relevant enablers and constraints influencing the spread of telework in Portugal. New Technology, Work and Employment, 20(2), 133-149.
  82. Ory, D.T., and P.L. Mokhtarian (2005). Don't work, work at home, or commute? Discrete choice models of the decision for San Francisco Bay Area residents. Research Report UCD-ITS-RR-05-05. Available at http://pubs.its.ucdavis.edu/publication_detail.
  83. Ory, D.T., and P.L. Mokhtarian (2007). Does telecommuting really save commute time? Time, distance, and speed evidence from State of California workers. In T. van der Lippe, and P. Peters Editors. Competing Claims in Work and Family Life. Cheltenham, UK: Edward Elgar (forthcoming).
  84. Paay, J., Dave, B. and S, Howard (2007). Understanding and representing the social prospects of hybrid urban spaces. Environment and Planning B, 34(3), 446 – 465.
  85. Park, S. (2004). The impact of business-to-business electronic commerce on the dynamics of metropolitan spaces. Urban Geography, 25(4), 284-316.
  86. Peters, P., K. Tijdens and C. Wetzels (2004). Employees’ opportunities, preferences, and practices in telecommuting adoption. Information and Management, 41(4), 469-482.
  87. Perez, M., A. Sanchez and M. Carnicer (2002). Benefits and barriers of telework: perception differences of human resources managers according to company's operations strategy. technovation, 22, 775-783.
  88. Perez, M. and M. Jimenez (2002). Knowledge tasks and teleworking: a taxonomy model of feasibility adoption. Journal of Knowledge Management, 6(3), 272-284.
  89. Pliskin, N. (1998). The telecommuting paradox. Information Technology and People, 10(2), 164-172.
  90. Pratt, J. (2000). Asking the right questions about telecommuting: Avoiding pitfalls in surveying homebased work. Transportation, 27(1), 99-116.
  91. Raghuram, S., B. Wiesenfeld and R. Garud (2003). Technology enabled work: The role of self-efficacy in determining telecommuter adjustment and structuring behavior. Journal of Vocational Behavior, 63, 180-198.
  92. Rotem-Mindali, O. and I. Saloman (2004). The impacts of e-retail on the choice of shopping travel and delivery: Some preliminary findings. Paper presented at ICT: Mobilizing Persons, Places, and Spaces – An International Specialist Meeting On ICT, Everyday Life and Urban Change, Doorn, The Netherlands, November 4-7, 2004. Salomon, I. (1986). Telecommunications and travel relationships: A review. Transportation Research A, 20(3), 223-238.
  93. Rotem-Mindali, O. and I. Saloman (2007). The impact of E-retail on the choice of shopping trips and delivery: some preliminary findings. Transportation Research part A, 41, 176-189.
  94. Rotem-Mindali, O. and I. Saloman (2008). Modeling Consumers Purchase and Delivery Choices in the Face of the Information Age. Environment and Planning par B (accepted for publication).
  95. Salomon, I. (1998). Technological change and social forecasting: The case of telecommuting as a travel substitute. Transportation Research C, 6, 17-45.
  96. Schwanen, T., Dijst, M. and M-P. Kwan (2006). The Internet, changing mobilities and urban dynamics. Urban Geography, 27, 585-589.
  97. Shaw, S-L. and Yu, H. (2009). A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space, Journal of Transport Geography, forthcoming.
  98. Siha, S. (2006). Telecommuting's past and future: a literature review and research agenda. Business Process Management Journal, 12(4), 455-482.
  99. Stanek, D. and P. Mokhtarian (1998). Developing models of preference for home-based and center-based telecommuting: Findings and forecasts. Technological Forecasting and Social Change, 57, 53-74.
  100. Stanworth, C. (1998). Telework and the information age. New Technology, Work and Employment, 13(1), 51-61.
  101. Sullivan,C. (2003). What's in a name? Definitions and conceptualisations of teleworking and homeworking. New Technology, Work and Employment, 18(3), 158-165.
  102. Swinyard, W. and S. Smith (2003). Why people (don’t) shop online: A lifestyle study of the Internet consumer. Psychology & Marketing, Vol. 20, 2003, pp. 567-597.
  103. Shaw, S-L. (2005). An extended time-geographic framework for human activities and interactions in physical and virtual spaces. Paper presented at AAG Annual Meeting, Denver, Colorado.
  104. Sullivan, C. and S. Lewis (2001). Home-based telework, gender, and the synchronization of work and family: Perspectives of teleworkers and their co-residents. Gender, Work and Organization, 8(2), 123-145.
  105. Taylor, M. and A. Murphy (2004). SMEs and the take-up of e-business. Urban Geography, 25(4), 314-331.
  106. Teo, T., V. Lim and S. Wai (1998). An empirical study of attitudes towards teleworking among information technology (IT) personnel. International Journal of Information Management, 18(5), 329-343.
  107. Thulin, E. and B. Vilhelmson (2000). ICT, work-related activities and travel. Netcom, Networks and Communication Studies, 14, 5-24.
  108. Thulin, E. and B. Vilhelmson (2005). Virtual mobility of urban youth: ICT-based communication in Sweden. Tijdschrift voor Economische en Sociale Geografie, 96(5), 477-487.
  109. Thulin, E. and B. Vilhelmson (2006). Virtual mobility and processes of displacement: young people's changing use of ICT, time, and place. Netcom, Network and Communications Studie, 20, 27-39.
  110. Tietze, S. and G. Musson (2003). The times and temporalities of home-based telework. Personnel Review, 32(4), 438-455.
  111. Tietze, S. (2005). Discourse as strategic coping resource: managing the interface between "home" and "work". Journal of Organizational Change, 18(1), 48-62.
  112. Tremblay, D. (2002). Balancing work and family with telework? Organizational issues and challenges for women and managers. Women in Management Review, 17, 157-170.
  113. Varma, K., Stanek, C. Ho, D. and P. Mokhtarian (1998). Duration and frequency of telecenter use: once a telecommuter, always a telecommuter? Transportation Research Part C, 6,47-68.
  114. Varma, K. and P. Mokhtarian (1998). The tradeoff between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting. Transportation Research part D, 3, 419-428.
  115. Vilhelmson, B. and E. Thulin (2001). Is regular work at fixed places fading away? The development of ICT-based and travel-based modes of work in Sweden. Environment and Planning part A, 33, 1015-1029.
  116. Welterreden, J.W.J. (2007). Substitution or complementarity? How the Internet changes city centre shopping. Journal of Retailing and Consumer Services, 14, 192-207.
  117. Welterreden, J.W.J., Atzema, O.A.L.C., Frenken, K, Kruif, K. and F.G. Oort (2008). The geography of Internet adoption by independent retailers in the Netherlands. Environment and Planning B, 35(3), 443-460.
  118. Weltevreden, J.W.J. and O.A.L.C. Atzema (2006). Cyberspace meets high street: adoption of click-and-mortar strategies by retail outlets in city centers. Urban Geography, 27, 628-650.
  119. Yen, J. (2000). Interpreting employee telecommuting adoption: An economics perspective. Transportation, 27, 149-164.
[Top · time geography · ICT · temporal GIS · spatio-temporal analysis · others]
Temporal GIS
  1. Abraham, T. and J. Roddick (1999). Survey of spatio-temporal databases. GeoInformatica, 3(1), 61-99.
  2. Ahmed, N. and H. Miller (2006). Time-space transformations of geographic space for exploring, analyzing and visualizing transportation systems. Journal of Transport Geography ,In press.
  3. Alemeida, V. and R. Guting (2005). Indexing the Trajectories of Moving Objects in Networks. GeoInformatica, 9(1), 33-66.
  4. Arentze, T. and H. Timmermans (2004). Multistate supernetwork approach to modelling multi-activity, multimodal trip chains. International Journal of Geographic Information Science, 18(7), 631-651.
  5. Armstrong, M. (1988). Temporality in spatial databases. Proceedings: GIS/LIS’88, 2, 880-889.
  6. Baines, S. and U. Gelder (2003). What is family friendly about the workplace in the home? The case of self-employed parents and their children. New Technology, Work and Employment,18(3), 223-234.
  7. Balley, S., C. Papent and S. Spaccapietra (2004). Modelling geographic data with multiple representations. International Journal of Geographic Information Science, 18(4), 327-352.
  8. Bian, L. (2000). Object-oriented representation for modeling mobile objects in an aquatic environment. International Journal of Geographical Information Science, 17(7), 603-623.
  9. Bian, L. (2004). A conceptual framework for an individual-based spatially explicit epidemiological model. Environment and Planning B: Planning and Design, 31, 381-395.
  10. Blok, C., B. Kobben, T. Cheng and A. Kuterema (1999). Visualization of relationships between spatial patterns in time by cartographic animation. Cartography and Geographic Information Science, 25(2),139-151.
  11. Borgers, A., F. Hofman, M., Ponje and H. Timmermans (2001), Towards a conjoint-based, context-dependent model of task allocation in activity settings: Some numerical experiments. Journal of Geographical Systems, 3, 347-367.
  12. Brinkhoff, T. (2002). A framework for generating network-based moving objects. GeoInformatica, 6(2), 153-180.
  13. Buliung, R. and P. Kanaroglou (2004).An exploratory spatial data analysis (ESDA) toolkit for the analysis of activity/travel data. Lecture Notes in Computer Science, 3044, Berlin: Springer-Verlag, 1016-1025.
  14. Buliung, R. and P. Kanaroglou (2004). On design and implementation of an object-relational spatial database for activity/travel behavior research. Journal of Geographical Systems, 6, 237-262.
  15. Buliung, R. and P. Kanaroglou (2006). A GIS toolkit for exploring geographies of household activity/travel behavior. Journal of Transport Geography, forthcoming.
  16. Chen. J. and J. Jiang (2000). An event-based approach to spatio-temporal data modeling in land subdivision systems. GeoInformatica, 4(4), 387-402.
  17. Claramunt, C. and B. Jiang (2001). An integrated representation of spatial and temporal relationships between evolving regions. Journal of Geographical Systems, 3, 411-428.
  18. Cohn, A., N. Gotts, Z. Cui, D. Randell, B. Bennett, and J. Gooday (1998). Exploiting temporal continuity in qualitative spatial calculi. In M. Egenhofer and R. Golledge (eds.) Spatial Temporal Reasoning in Geographic Information Systems. New York: Oxford University Press, 5-24.
  19. Dimitrova, D. (2003). Controlling teleworkers: supervision and flexibility revisited. New Technology, Work and Employment, 18(3). 181-195.
  20. Donaghy, D. (2001). Solution and econometric estimation of spatial dynamic models in continuous space and continuous time. Journal of Geographical Systems, 3, 257-270.
  21. Egenhofer, M. and K. Al-Taha (1992). Reasoning about gradual changes of topological relationships. In A. Frank, I. Campari, and U. Formentin (eds.) Theories and Methods of Spatio-Temporal Reasoning in Geographic Space. New York: Springer-Verlag, 196-219.
  22. Ellen, I. and K. Hempstead (2002). Telecommuting and the demand for urban living: A preliminary look at white-collar workers. Urban Studies, 39(4). 749-766.
  23. Erwig, M., R. Guting, M. Schneider and M. Vazirgiannis (1999). Spatio-temporal data types: An approach to modeling and querying moving objects in databases. GeoInformatica, 3(3), 269-296.
  24. Erwig, M. and M. Schneider (2002). STQL - A spatio-temporal query language. In R. Ladner, K. Shaw and M. Abdelguerfi (eds.) Mining Spatio-Temporal Information Systems. Machusetts: Kluwer Academic Publishers, 105-126.
  25. Estivill-Castro, V. and I. Lee (2002). Multi-Level clustering and its visualization for exploratory spatial analysis. GeoInformatica, 6(2), 123-152.
  26. Frihida, A., D. Marceau and M. Thréiault (2002). Spatio-temporal object-oriented data model for disaggregate travel behavior. Transactions in GIS, 6(3), 277-294.
  27. Frihida, A., D. Marceau and M. Thériault (2004). Development of a temporal extension to query travel behavior time paths using an object-oriented GIS. GeoInformatica, 8(3), 211-235.
  28. Frihida, A., D. Marceau and M. Thériault (2004). Extracting and visualizing individual space-time paths: An integration of GIS and KDD in transport demand modeling. Cartography and Geographic Information Science, 31(1), 19-28.
  29. Furnham, A. (2000). Work in 2020 prognostications about the world of work 20 years into the millennium. Journal of Managerial Psychology, 15(3),242-254.
  30. Geurs, K and B. Wee (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport Geography, 12, 127-140.
  31. Grumbach, S., P. Rigax and L. Segoufin (2001). Spatio-temporal data handling with constraints. GeoInformatica, 5(1), 95-115.
  32. Güting, R., M. Böhlen, M. Erwig, C. Jensen, N. Lorentzos, M. Schneider and M. Vazirgiannis (2000). A foundation for representing and querying moving objects. ACM Transactions on Database Systems, 25(1), 1-42.
  33. Halford, S. (2005). Hybrid workspace: re-spatialisations of work, organisation and management. New Technology, Work and Employment, 20(1),19-33.
  34. Hanson, S. (1998). Off the road? Reflections on transportation geography in the information age. Journal of Transport Geography, 6(4), 241-249.
  35. Hardill, I. (2003). Editorial: teleworking. New Technology, Work and Employment, 18(3), 156-157.
  36. Hardill, I. and A. Green (2003). Remote working-altering the spatial contours of work and home in the new economy. New Technology, Work and Employment, 18(3),212-222.
  37. Hill,E., M. Ferris and V. Martinson (2003). Does it matter where you work? A comparison of how three work venues (traditional office, virtual office, and home office) influence aspects of work and personal/family life. Journal of Vocational Behavior, 63, 220-241.
  38. Hornsby, K.S. and M. Egenhorfer (2000). Identity-based change: a foundation for spatio-temporal knowledge representation. International Journal of Geographic Information Science, 14(3), 207-224.
  39. Hornsby, K.S. and S. Cole (2007). Modeling Moving Geospatial Objects from an Event-based Perspective. Transactions in GIS, 11(4), 555-573.
  40. Jacquez, G., P. Goovaerts and P. Rogerson (2005). Space-time intelligence systems: Technology, applications and methods. Journal of Geographical Systems, 7, 1-5.
  41. Jeong, S., N. Paton, A. Fernandes and T. Griffiths (2005). An experimental performance evaluation of spatio-temporal join strategies. Transactions in GIS, 9(2),129-156.
  42. Johansson, B., J. Klaesson and M. Olsson (2003). Commuters' non-linear response to time distances. Journal of Geographical Systems, 5, 315-329.
  43. Kenyon, S. (2006). The 'accessibility diary': Discussing a new methodological approach to understand the impact of Internet use upon personal travel and activity participation. Journal of Transport Geography, 14, 123-134.
  44. Kim, H-M. and M-P. Kwan (2003). Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration. Journal of Geographical Systems, 5(1), 71-91.
  45. Knowles, R. (2006). Transport shaping space: differential collapse in time-space. Journal of Transport Geograhy, 14, 407-425.
  46. Koncz, N. and T. Adams (2002). A data model for multi-dimensional transportation applications. International Journal of Geographic Inforation Science, 16(6), 551-569.
  47. Koubarakis, M., T. Sellis, A. Frank, S. Grumbach, R. Güting, C. Jensen, N. Lorentzos, Y. Manolopoulos, E. Nardelli, B. Pernici, H-J. Schek, M. Scholl, B. Theodoulidis and N. Tryfona (eds.) (2003). Spatio-Temporal Databases: The Chorochronos Approach. Lecture Notes in Computer Science, 2520. Berlin: Springer-Verlag.
  48. Koussoulakou, A. and E. Stylianidis (1999). The use of GIS for the visual exploration of archaeological spatio-temporal data. Cartography and Geographic Information Science, 26(2), 152-160.
  49. Kuhn, W. (2001). Ontologies in support of activities in geographical space. International Journal of Geographical Information Science, 15(7), 613–631.
  50. Kurt, C. (2004). Towards temporal dynamic segmentation. GeoInformatica, 8(3), 265-283.
  51. Kwan, M-P. (2000). Human extensibility and individual hybrid-accessibility in space-time: A multi-scale representation using GIS. In D. Janelle and D. Hodge (eds.) Information, Place, and Cyberspace: Issues in Accessibility. Berlin: Springer-Verlag, 241-256.
  52. Kwan, M-P. and X. Hong (1998). Network-based constraints-oriented choice set formation using GIS. Geographical Systems, 5, 139-162.
  53. Kwan, M-P. (2000). Analysis of human spatial behavior in a GIS environment: Recent developments and future prospects. Journal of Geographical Systems, 2, 85-90.
  54. Kwan, M-P. (2000). Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: A methodological exploration with a large data set. Transportation Research C, 8,185-203.
  55. Kwan, M-P. and J. Lee (2003). Geovisualization of human activity patterns using 3D GIS: A time-geographic approach. In M. Goodchild and D. Janelle (eds.) Spatially Integrated Social Science: Examples in Best Practice. Oxford: Oxford University Press.
  56. Kwan, M-p. (2006). Transport geography in the age of mobile communications. Journal of Transport Geography, 14, 384-385.
  57. Langran, G. (1992). Time in Geographic Information Systems. Bristol: Taylor & Francis.
  58. Langran, G. and N. Chrisman (1988). A framework for temporal geographic information. Cartographic, 25(3), 1-14.
  59. Laube, P., S. Imfeld and R. Weibel (2005). Discovering relative motion patterns in groups of moving point objects. International Journal of Geographical Information Science, 19(6), 639-668.
  60. Martin, D. (2005). Socioeconomic geocomputation and e-social science. Transactions in GIS, 9(1), 1-3.
  61. McNoleg, O. (2004). Search procedures for geographers, By geographers and using Geographers. Transactions in GIS, 8(4), 401-405.
  62. McIntosh, J. and M. Yuan (2005). Assessing similarity of geographic processes and events. Transactions in GIS, 9(2), 223-245.
  63. Miller, H. (1991). Modeling accessibility using space-time prism concepts within geographical information systems. International Journal of Geographical Information Systems, 5, 287-301.
  64. Miller, H. (2004). Tobler's first law and spatial analysis. Association of American Geographers, 94(2), 284-289.
  65. Miller, H. and Y. Wu (2000). GIS Software for Measuring Space-Time Accessibility in Transportation Planning and Analysis. GeoInformatica, 4, 141-159.
  66. Mitomo, H. and T. Jitsuzumi (1999). Impact of telecommuting on mass transit congestion: the Tokyo case. Telecommunications, 23, 741-751.
  67. Mouza, C. and P. Rigaux (2005). Mobility patterns. GeoInformatica, 9(4), 297-319.
  68. Muralidhar, B., T. Mathew and S. Dhingra (2006). Prototype time-space diary design and administration for a developing country. Journal of Transportation Engineering, 132(6), 489-498.
  69. Neutens, T., Witlox, F., Weghe, N., and Maeyer, P. (2007). Space-time opportunities for multiple agents: a constraint-based approach. International Journal of Geographical Information Science, 21(10), 1061-1076.
  70. O'Sullivan, D., A. Morrison and J. Shearer (2000).Using desktop GIS for the investigation of accessibility by public transport: an isochrone approach. International Journal of Geographic Inforation Science, 14(1), 85-104.
  71. Pang, M. and W. Shi (2002). Development of a process-based model for dynamic interaction in spatio-temporal GIS. GeoInformatica, 6(4), 323-344.
  72. Peuquet, D. (1994). It’s about time: A conceptual framework for the representation of spatiotemporal dynamics in geographic information systems. Annals of the Association of American Geographers, 84, 441-461.
  73. Peuquet, D. (2001). Making space for time: Issues in space-time data representation. GeoInformatica, 5(1), 11-32.
  74. Peuquet, D. (2002). Representations of Space and Time. New York: Guilford Press.
  75. Peuquet, D. and N. Duan (1995). An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. International Journal of Geographical Information Systems, 9(1), 7-24.
  76. Pfoser, D. and N. Tryfona (2005). Indeterminacy and spatiotemporal data: Basic definitions and case study. GeoInformatica, 9(3), 211-236.
  77. Pfoser, D. and C. Jensen (2005).Trajectory indexing using movement constraints. GeoInformatica, 9(2), 93-115.
  78. Porkaew, K., I. Lazaridis and S. Mehrotra (2001). Querying mobile objects in spatio-temporal databases. SSTD, 59-78.
  79. Raptopoulou, K., A. Papodopoulos and Y. Manologoulos (2003). Fast nearest-neighbor query processing in moving-object databases. GeoInformatica, 7(2), 113-137.
  80. Raubal, M., H. Miller and S. Bridwell. (2004). User-centred time geography for location-based services. Geografiska Annaler. Series B, Human Geography, 86(4), 245-265.
  81. Ren, F. and Kwan, M-P. (2007). Geovisualization of Human Hybrid Activity-Travel Patterns. Transactions in GIS, 11(5), 721-744.
  82. Renolen, A. (2000). Modelling the real world: Conceptual modelling in spatiotemporal information system design. Transactions in GIS, 4(1), 23-42.
  83. Roy, J. N. Smith and B. Xu (2001). Simultaneous modeling of multi-purpose/multi-stop activity patterns and quantities consumed. Journal of Geographical Systems, 3, 303-324.
  84. Sadahiro, Y. (2002). A graphical method for exploring spatiotemporal point distributions. Cartography and Geographic Information Science, 29(2), 67-84.
  85. Scheiner, J. (2006). Housing mobility and travel behaviour: A process-oriented approach to spatial mobility Evidence from a new research field in Germany. Journal of Transport Geography, 14, 287-298.
  86. Shaw, S-L. (2006) What about "time" in transportation geography. Journal of Transport Geography, 14, 237-240.
  87. Shaw, S-L. and Wang, D. (2000). Handling disaggregate spatiotemporal travel data in GIS. GeoInformatica, 4(2), 161-178.
  88. Shaw, S-L. and Xin, X. (2003). Integrated land use and transportation interaction: A temporal GIS exploratory data analysis approach. Journal of Transport Geography, 11, 103-115.
  89. Shaw, S-L. and Yu, H. (2009). A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space, Journal of Transport Geography, forthcoming.
  90. Shaw, S-L., Yu, H. and Bombom, L. (2008). A space-time GIS approach to exploring large individual-based spatiotemporal datasets. Transactions in GIS, forthcoming (accepted for publication).
  91. Smith, J., W. Machaness, A. Kealy and L. Williamson. (2004) Spatial data infrastructure requirements for mobile location based journey planning. Transactions in GIS, 8(1), 23-44.
  92. Sinha, G. and D. Mark (2005). Measuring similarity between geospatial lifelines in studies of environmental health. Journal of Geographical Systems, 7(1), 115-136.
  93. Spaccapietra, S. (2001). Editorial: Spatio-temporal data models and languages. GeoInformatica, 5(1), 5-9.
  94. Tryfona, N. and C. Jensen (1999). Conceptual data modeling for spatiotemporal applications. GeoInformatica, 3(3), 245-268.
  95. Vazirgiannis, M. and O. Wolfson (2001). A spatiotemporal model and language for moving objects on road networks. SSTD, 20-35.
  96. Wang, D. and T. Cheng (2001). A spatio-temporal data model for activity-based transport demand modeling. International Journal of Geographical Information Science, 15(6), 561-585.
  97. Wentz, E., A. Campbell and R. Houston. (2003). A comparison of two methods to create tracks of moving objects: linear weighted distance and constrained random walk. International Journal of Geographic Information Science, 17(7), 623-645.
  98. Wilcox, D., M. Harwell and R. Orth (2000). Modeling dynamic polygon objects in space and time: A new graph-based technique. Cartography and Geographic information Science, 27(2), 153-164.
  99. Wolfson, O., B. Xu, S. Chamberlain and L. Jiang (1998). Moving objects databases: Issues and solutions. Proceedings of SSDB Conference, 111-122.
  100. Worboys, M. (1992). A model for spatio-temporal information. Proceedings: the 5th International Symposium on Spatial Data Handling, 2, 602-611.
  101. Worboys, M. (1994). Object-oriented approaches to geo-referenced information. International Journal of Geographical Information Systems, 8, 385-399.
  102. Worboys, M. (1998). A generic model for spatio-bitemporal geographic information. In M. Egenhofer and R. Golledge (eds.) Spatial and Temporal Reasoning in Geographic Information Systems. New York: Oxford University Press, 25-39.
  103. Worboys, M. (1998). Modelling changes and events in dynamic spatial systems with reference to socio-economic units. GISDATA Conference on Modelling Change in Socio-Economic Units.
  104. Wu, F. (1999). GIS-based simulation as an exploratory analysis for space-time processes. Journal of Geographical Systems, 1, 199-218.
  105. Wu, Y., H. Miller and M. Hung (2001). A GIS-based decision support system for analysis of route choice in congested urban road networks. Journal of Geographical Systems, 3, 3-24.
  106. Yattaw, N. (1999). Conceptualizing space and time: A classification of geographic movement. Cartography and Geographic Information Science, 26(2), 85-98.
  107. Yick, M., C. Pang and W. Shi (2002). Development of a Process-Based Model for Dynamic Interaction in Spatio-Temporal GIS. GeoInformatica, 6(4), 323-344.
  108. Yu, H. (2006). Spatio-temporal GIS design for exploring interactions of human activities. Cartography and Geographic Information Science, 33(1), 3-19.
  109. Yu, H. and S-L. Shaw (2008). Exploring potential human activities in physical and virtual spaces: A spatio-temporal GIS approach. International Journal of Geographic Information Science, 22(4), 409-430.
  110. Yuan, M. (1996). Modeling semantics, temporal, and spatial information in geographic information systems. In Craglia, M. and Couclelis, H. (eds.) Geographic Information Research: Bridging the Atlantic. London: Taylor and Francis, 334-347.
  111. Yuan, M. (1999). Use of a three-domain representation to enhance GIS support for complex spatiotemporal queries. Transactions in GIS, 3, 137-159.
[Top · time geography · ICT · temporal GIS · spatio-temporal analysis · others]
Spatio-Temporal Analysis
  1. Agrawal, R., C. Faloutsos and A. Swami. (1993). Efficient similarity search in sequence databases. Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms, 69-84.
  2. Andersson, M., Gudmundsson, J., Laube, P. and T. Wolle (2008). Reporting Leaders and Followers among Trajectories of Moving Point Objects. Geoinformatica, 12, online first.
  3. Baker, R. (2004). A modified Knox test of space-time clustering. Journal of Applied Statistics, 31(4), 457-463.
  4. Bertolotto, M., Di Martino, S., Ferrucci, F. and T. Kechadi. Towards a framework for mining and analysing spatio-temporal datasets. International Journal of Geographic Information Science, 21(8), 895-906.
  5. Botea, V., Mallett, D., Nascimento, M.A. and J. Sander (2008). PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data. Geoinformatica, 12(2), 143-168.
  6. Choi, J., Seong, J.C., Kim, B. and L. Usery (2008). Innovations in individual feature history management-The significance of feature-based temporal model. Geoinformatica, 12(1), 1-20.
  7. Chen, L., M. T. Ozsu and V. Oria (2005). Robust and fast similarity search for moving objects of trajectories. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, 491 – 502.
  8. Ettema, D. and Timmermans, H. (2007). Space–Time Accessibility Under Conditions of Uncertain Travel Times: Theory and Numerical Simulations. Geographical Analysis, 39, 217-240.
  9. Gidófalvi, G. and T.B. Pedersen (2008). Mining Long, Sharable Patterns in Trajectories
    of Moving Objects. Geoinformatica, 12, online first.
  10. Gudmundsson, J., M. van Kreveld and B. Speckman (2007). Efficient detection of patterns in 2D trajectories of moving points Geoinformatica, 11, 195 – 215.
  11. Guttman, A. (1984). R-trees: A dynamic index structure for spatial searching. Proceedings of the 1984 ACM SIGMOD International Conference on Management of Data, 47-57.
  12. Hornsby, K.S. and M. Egenhorfer (2000). Identity-based change: a foundation for spatio-temporal knowledge representation. International Journal of Geographic Information Science, 14(3), 207-224.
  13. Hornsby, K.S. and S. Cole (2007). Modeling Moving Geospatial Objects from an Event-based Perspective. Transactions in GIS, 11(4), 555-573.
  14. Huet, B. and E. R. Hancock (1999). Line pattern retrieval using relational histograms. IEEE Transactions on Pattern Analysis and Machinery Intelligence, 21(12), Dec.
  15. Hwang, J-R., H-Y. Kang and K-J. Li (2005). Spatio-Temporal similarity analysis between trajectories on road networks. Lecture Notes in Computer Science.
  16. Kulldorff, M. and U. Hjalmars (1999). The Knox method and other tests for space-Time interaction. Biometrics, 55(2), 544-552.
  17. Laube, P., M. van Kreveld and S. Imfeld (2005). Finding REMO – detecting motion patterns in geospatial lifelines. Developments in Spatial Data Handling, Procedure of the 11th International Symposium on Spatial Data Handling, 201 – 215.
  18. Laube, P.and R. S. Purves (2006). An approach to evaluating motion pattern detection techniques in spatio-temporal data. Computers, Environment and Urban Systems, 30, 347 – 374.
  19. Laube, P., S. Imfeld and R. Weibel (2005). Discovering relative motion patterns in groups of moving point objects. International Journal of Geographical Information Science, 19(6), 639-668.
  20. Lin, B. and J. Su (2005). Shapes based trajectory queries for moving objects. Proceedings of the 13th annual ACM International Workshop on Geographic Information Systems, 21 – 30.
  21. Lin, B. and J. Su (2008). One way distance: For shape based similarity search of moving object trajectories. Geoinformatica, 12(2), 117-142.
  22. Murran, A., and V. Estivill-Castro (1998). Cluster discovery techniques for exploratory spatial data analysis. International Journal of Geographical Information Science, 12(5), 431-443.
  23. Nedas, K., M. Egenhofer, and D. Wilmsen (2004). Metric details of topological line-line relations. International Journal of Geographic Information Science, , in press.
  24. Noyon, V., Claramunt, C. and T. Devogele (2007). A relative representation of trajectories in geographical spaces. Geoinformatica, 11(4): 479-496.
  25. Pelleg, D. and A. Moore (1999). Accelerating exact k-means algorithms with geometric reasoning. Proceedings of the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 277-281.
  26. Perng, C., H. Wang, S. R. Zhang, and D. S. Parker (2000). Landmarks: A new model for similarity-based pattern querying in time series database 16th International Conference on Data Engineering (ICDE, ’00), p.33.
  27. Pfoser, D. and C. Jensen (2005). Trajectory indexing using movement constraints. GeoInformatica, 9(2), 93-115.
  28. Pratt, K. B. and E. Fink (2002). Search for patterns in compressed time series International Journal of Image and Graphics, 2(1), 89-106.
  29. Shaw, S-L. and Yu, H. (2009). A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space, Journal of Transport Geography, forthcoming.
  30. Shaw, S-L., Yu, H. and Bombom, L. (2008). A space-time GIS approach to exploring large individual-based spatiotemporal datasets. Transactions in GIS, forthcoming (accepted for publication).
  31. Shoval, N. and M. Isaacson (2007). Modeling Moving Geospatial Objects from an Event-based Perspective. Annals of the Association of American Geographers, 97(2), 282–297.
  32. Sinha, G and D. Mark (2005). Measuring similarity between geospatial lifelines in studies of environmental health. Journal of Geographical Systems, 7, 115-136.
  33. Vlachos, M., D. Gunopulos and G. Kollios (2002). Robust similarity measures for mobile object trajectories. Proceedings of the 13th International Workshop Mobility in Databases and Expert Systems Applications, 721-726.
  34. Yanagisawa, Y., J. Akahani and T. Satoh (2003). Shape-based similarity query for trajectory of mobile objects. Lecture Notes In Computer Science, 2574, 63 - 77.
[Top · time geography · ICT · temporal GIS · spatio-temporal analysis · others]
Others
  1. Arentze, T., F. Hofman and H. Timmermans (2001). Deriving rules from activity diary data: A learning algorithm and results of computer experiments. Journal of Geographical Systems, 3, 325-346.
  2. Bell, S. (2002). Surfing the third wave: Experiential reflections on new working practices. Systemic Practice and Action Research, 15(1), 67-82.
  3. Black, W. (2001). An unpopular essay on transportation. Journal of Transport Geography, 9, 1-11.
  4. Couclelis, H.(2004). The construction of digital city. Environmental and Planning B: Planning and Design, 31(1), 5-19.
  5. Couclelis, H.(2004). Pizza over the Internet: e-commerce, the fragmentation of activity and the tyranny of the region. Entrepreneurship & Regional Development, 16, 41-54.
  6. McIntosh, J. and M. Yuan (2005). Assessing similarity of geographic processes and events. Transactions in GIS, 9(2), 223-245.
  7. McNally, M. (1998). Activity based forecasting models integrating GIS. Geographical Systems, 5, 163-187.
  8. Farag, S., K. Karizek and M. Dijst (2006). E-shopping and its relationship with in-store shopping: Empirical evidence from the Netherlands and the USA. Transport Reviews, 26(1), 43-61.
  9. Virrantaus, K., J. Markkula, A. Garmash, V. Terziyan, J. Veijalainen, A. Katanosov and H. Tirri (2001). Developing GIS-supported location-based services. IEEE, 2, 66-75.
  10. Wang, Y. P. Lai and D. Sui (2003). Mapping the Internet using GIS: The death of distance hypothesis revisited. Journal of Geographical Systems, 5, 381-405.
  11. Weber, J. (2003).Individual accessibility and distance from major employment center: An examination using space-time measures. Journal of Geographical Systems, 5,51-70.
  12. Westervelt, J. (1999). Modeling mobile individuals in dynamic landscapes. International Journal of Geographic Information Science, 13(3), 191-208.
  13. Worboys, M. (2005). Event-oriented approaches to geographic phenomena. International Journal of Geographic Information Science, 19(1), 1-28.
  14. Amold, L. and G. Wright (2005). Analysing product-specific behaviour to support process dependent updates in a dynamic Spatial updating model. Transactions in GIS, 9(3), 397-419.
[Top · time geography · ICT · temporal GIS · spatio-temporal analysis · others]
  Last updated on December 25, 2008