IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v46y2019i2p322-340.html
   My bibliography  Save this article

What construct one’s familiar area? A quantitative and longitudinal study

Author

Listed:
  • Wen Zhang
  • Nursitihazlin Ahmad Termida
  • Yusak O Susilo

Abstract

There is a lack of understanding of how certain characteristics of the urban environment influence an individual’s spatial cognition and familiarity with surrounding areas, and, subsequently, their travel behaviours and how these change over time. This paper aims to address this research gap in exploring the dynamics of individuals’ spatial cognitions by observing the changes of respondents’ familiar areas over time, and investigating the possible determinants that constitute respondents’ familiar areas. Panel data, containing two-week travel diaries and maps of familiar areas, were collected in four different waves over a seven-month period for 55 individuals in Stockholm, Sweden. The reported familiar areas for each individual were digitised into quantifiable variable form and further analysed by applying dynamic binary probit and linear regression models. The results show that, while familiar area is largely influenced by one’s previous knowledge of the area, it is also continuously corrected by events in between. Different land use characteristics have different impacts on different social groups’ travel patterns, thus contributing to the variability in the size of one’s familiar areas.

Suggested Citation

  • Wen Zhang & Nursitihazlin Ahmad Termida & Yusak O Susilo, 2019. "What construct one’s familiar area? A quantitative and longitudinal study," Environment and Planning B, , vol. 46(2), pages 322-340, February.
  • Handle: RePEc:sae:envirb:v:46:y:2019:i:2:p:322-340
    DOI: 10.1177/2399808317714798
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2399808317714798
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2399808317714798?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Zhang, Wen & Susilo, Yusak O. & Ahmad Termida, Nursitihazlin, 2016. "Investigating the interactions between travellers' familiar areas and their multi-day activity locations," Journal of Transport Geography, Elsevier, vol. 53(C), pages 61-73.
    4. Dellaert, Benedict G.C. & Arentze, Theo A. & Timmermans, Harry J.P., 2008. "Shopping context and consumers’ mental representation of complex shopping trip decision problems," Journal of Retailing, Elsevier, vol. 84(2), pages 219-232.
    5. Sabina Buczkowska & Nicolas Coulombel & Matthieu de Lapparent, 2015. "Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models," ERSA conference papers ersa15p1060, European Regional Science Association.
    6. T. Arentze & H. Timmermans, 2005. "Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics," Transportation, Springer, vol. 32(4), pages 321-340, July.
    7. Golledge, Reginald G. & Garling, Tommy, 2002. "Cognitive Maps and Urban Travel," University of California Transportation Center, Working Papers qt5wb4524r, University of California Transportation Center.
    8. Minaei, Negin, 2014. "Do modes of transportation and GPS affect cognitive maps of Londoners?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 162-180.
    9. Ahmad Termida, Nursitihazlin & Susilo, Yusak O. & Franklin, Joel P., 2016. "Observing dynamic behavioural responses due to the extension of a tram line by using panel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 78-95.
    10. Susilo, Yusak O. & Williams, Katie & Lindsay, Morag & Dair, Carol, 2012. "The influence of individuals’ environmental attitudes and urban design features on their travel patterns in sustainable neighborhoods in the UK," Working papers in Transport Economics 2012:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    11. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    12. Dellaert, Benedict G.C. & Arentze, Theo & Horeni, Oliver & Timmermans, Harry J.P., 2017. "Deriving attribute utilities from mental representations of complex decisions," Journal of choice modelling, Elsevier, vol. 22(C), pages 24-38.
    13. Kitamura, Ryuichi, 1990. "Panel Analysis in Transportation Planning: An Overview," University of California Transportation Center, Working Papers qt86v0f7zh, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Wen & Susilo, Yusak O. & Ahmad Termida, Nursitihazlin, 2016. "Investigating the interactions between travellers' familiar areas and their multi-day activity locations," Journal of Transport Geography, Elsevier, vol. 53(C), pages 61-73.
    2. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.
    3. Kitamura, Ryuichi & Yamamoto, Toshiyuki & Fujii, Satoshi, 2003. "The effectiveness of panels in detecting changes in discrete travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 37(2), pages 191-206, February.
    4. Ahmad Termida, Nursitihazlin & Susilo, Yusak O. & Franklin, Joel P., 2016. "Observing dynamic behavioural responses due to the extension of a tram line by using panel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 78-95.
    5. Minnen, Joeri & Glorieux, Ignace & van Tienoven, Theun Pieter, 2015. "Transportation habits: Evidence from time diary data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 25-37.
    6. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    7. Marsden, Greg & Docherty, Iain, 2013. "Insights on disruptions as opportunities for transport policy change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 46-55.
    8. Chen, Cynthia & Mokhtarian, Patricia L., 2000. "Modeling Individuals' Travel Time and Money Expenditures," Institute of Transportation Studies, Working Paper Series qt2mx2q8dk, Institute of Transportation Studies, UC Davis.
    9. La Paix Puello, Lissy & Olde-Kalter, Marie-José & Geurs, Karst T., 2017. "Measurement of non-random attrition effects on mobility rates using trip diaries data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 51-64.
    10. Bartosz Bursa & Markus Mailer & Kay W. Axhausen, 2022. "Intra-destination travel behavior of alpine tourists: a literature review on choice determinants and the survey work," Transportation, Springer, vol. 49(5), pages 1465-1516, October.
    11. Kerstin Bruckmeier & Katrin Hohmeyer & Stefan Schwarz, 2018. "Welfare receipt misreporting in survey data and its consequences for state dependence estimates: new insights from linked administrative and survey data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-21, December.
    12. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    13. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    14. Peter Haan & Victoria Prowse, 2010. "A structural approach to estimating the effect of taxation on the labour market dynamics of older workers," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 99-125, October.
    15. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    16. Naciba Haned & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2014. "Firm persistence in technological innovation: the relevance of organizational innovation," Post-Print halshs-01496526, HAL.
    17. Chris Harding & Ahmadreza Faghih Imani & Siva Srikukenthiran & Eric J. Miller & Khandker Nurul Habib, 2021. "Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys," Transportation, Springer, vol. 48(5), pages 2433-2460, October.
    18. Burcu Duygan-Bump & Charles Grant, 2008. "Household debt repayment behaviour: what role do institutions play?," Supervisory Research and Analysis Working Papers QAU08-3, Federal Reserve Bank of Boston.
    19. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    20. Demiralp, Berna, 2011. "Occupational self-selection in a labor market with moral hazard," European Economic Review, Elsevier, vol. 55(4), pages 497-519, May.

    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:sae:envirb:v:46:y:2019:i:2:p:322-340. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.