IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-662-04027-0_14.html
   My bibliography  Save this book chapter

Human Extensibility and Individual Hybrid-accessibility in Space-time: A Multi-scale Representation Using GIS

In: Information, Place, and Cyberspace

Author

Listed:
  • Mei-Po Kwan

    (The Ohio State University)

Abstract

With the increasing use of the Internet for getting information, transacting business and interacting with people, a wide range of activities in everyday life can now be undertaken in cyberspace. As traditional models of accessibility are based on physical notions of distance and proximity, they are inadequate for conceptualizing or analyzing individual accessibility in the physical world and cyberspace (hereafter referred to as hybrid-accessibility). To address the need for new models of space and time that enable us to represent individual accessibility in the information age, there are at least three major research areas: (a) the conceptual and/or behavioral foundation of individual accessibility; (b) appropriate methods for representing accessibility; and (c) feasible operational measures for evaluating individual accessibility. With the recent development and application of GIS methods in the study of accessibility in the physical world (e.g., Forer 1998, Hanson, Kominiak, and Carlin 1997, Huisman and Forer 1998, Kwan 1998, 1999a, 1999b, Miller 1991, 1999, Scott 1999, Talen 1997, Talen and Anselin 1998), it is apparent that GIS have considerable potential in each of these research areas. As shown in some of these studies, a focus on the individual enabled by GIS methods also reveals the spatial-temporal complexity in individual activity patterns and accessibility through 3D visualization or computational procedures.

Suggested Citation

  • Mei-Po Kwan, 2000. "Human Extensibility and Individual Hybrid-accessibility in Space-time: A Multi-scale Representation Using GIS," Advances in Spatial Science, in: Donald G. Janelle & David C. Hodge (ed.), Information, Place, and Cyberspace, chapter 14, pages 241-256, Springer.
  • Handle: RePEc:spr:adspcp:978-3-662-04027-0_14
    DOI: 10.1007/978-3-662-04027-0_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fioretti, Guido, 2010. "Trajectories in Physical Space out of Communications in Acquaintance Space: An Agent-Based Model of a Textile Industrial District," MPRA Paper 24902, University Library of Munich, Germany.
    2. Frank Primerano & Michael Taylor & Ladda Pitaksringkarn & Peter Tisato, 2008. "Defining and understanding trip chaining behaviour," Transportation, Springer, vol. 35(1), pages 55-72, January.
    3. Yoon, Seo Youn & Ravulaparthy, Srinath K. & Goulias, Konstadinos G., 2014. "Dynamic diurnal social taxonomy of urban environments using data from a geocoded time use activity-travel diary and point-based business establishment inventory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 3-17.
    4. Jae Hyun Lee & Adam W. Davis & Seo Youn Yoon & Konstadinos G. Goulias, 2016. "Activity space estimation with longitudinal observations of social media data," Transportation, Springer, vol. 43(6), pages 955-977, November.
    5. Pedro Sanches & Eric-Oluf Svee & Markus Bylund & Benjamin Hirsch & Magnus Boman, 2013. "Knowing Your Population: Privacy-Sensitive Mining of Massive Data," Network and Communication Technologies, Canadian Center of Science and Education, vol. 2(1), pages 1-34, May.
    6. David Levinson & David Giacomin & Antony Badsey-Ellis, 2014. "Accessibility and the choice of network investments in the London Underground," Working Papers 000124, University of Minnesota: Nexus Research Group.
    7. Ge, Erjia & Lai, Poh-Chin & Zhang, Xiulei & Yang, Xiaohuan & Li, Xuezheng & Wang, Haiying & Wei, Xiaolin, 2015. "Regional transport and its association with tuberculosis in the Shandong province of China, 2009–2011," Journal of Transport Geography, Elsevier, vol. 46(C), pages 232-243.
    8. Shaw, Shih-Lung & Yu, Hongbo, 2009. "A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space," Journal of Transport Geography, Elsevier, vol. 17(2), pages 141-149.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:adspcp:978-3-662-04027-0_14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.