IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v19y2011i2p304-312.html
   My bibliography  Save this article

Can information promote transportation-friendly location decisions? A simulation experiment

Author

Listed:
  • Rodríguez, Daniel A.
  • Levine, Jonathan
  • Agrawal, Asha Weinstein
  • Song, Jumin

Abstract

Where people live, work, shop, and recreate fundamentally determines their local travel options. Yet, information problems such as the cost of conducting comprehensive searches and cognitive load have been shown to limit decision-making. In the context of residential decision-making, information problems are likely to influence which locations get chosen. This study examines whether providing people seeking a rental home with map-based information about the transit and pedestrian accessibility of the available units might influence their residential location choices. More specifically, would some people make use of this information to select more accessible residences than they would have otherwise chosen?

Suggested Citation

  • Rodríguez, Daniel A. & Levine, Jonathan & Agrawal, Asha Weinstein & Song, Jumin, 2011. "Can information promote transportation-friendly location decisions? A simulation experiment," Journal of Transport Geography, Elsevier, vol. 19(2), pages 304-312.
  • Handle: RePEc:eee:jotrge:v:19:y:2011:i:2:p:304-312
    DOI: 10.1016/j.jtrangeo.2010.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692310000554
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2010.04.001?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. Alden Speare, 1974. "Residential satisfaction as an intervening variable in residential mobility," Demography, Springer;Population Association of America (PAA), vol. 11(2), pages 173-188, May.
    2. Cervero, R. & Duncan, M., 2003. "Walking, Bicycling, and Urban Landscapes: Evidence from the San Francisco Bay Area," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1478-1483.
    3. Chorus, Caspar G. & Arentze, Theo A. & Molin, Eric J.E. & Timmermans, Harry J.P. & Van Wee, Bert, 2006. "The value of travel information: Decision strategy-specific conceptualizations and numerical examples," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 504-519, July.
    4. E Molin & H Oppewal & H Timmermans, 1999. "Group-Based versus Individual-Based Conjoint Preference Models of Residential Preferences: A Comparative Test," Environment and Planning A, , vol. 31(11), pages 1935-1947, November.
    5. Earnhart, Dietrich, 2002. "Combining Revealed and Stated Data to Examine Housing Decisions Using Discrete Choice Analysis," Journal of Urban Economics, Elsevier, vol. 51(1), pages 143-169, January.
    6. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    7. Cervero, Robert & Duncan, Michael, 2003. "Walking, Bicycling, and Urban Landscapes: Evidence from the San Francisco Bay Area," University of California Transportation Center, Working Papers qt6zr1x95m, University of California Transportation Center.
    8. Xinyu Cao & Susan Handy & Patricia Mokhtarian, 2006. "The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX," Transportation, Springer, vol. 33(1), pages 1-20, January.
    9. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    10. David Levinson, 1998. "Accessibility and the Journey to Work," Working Papers 199802, University of Minnesota: Nexus Research Group.
    11. Caspar G. Chorus & Eric J. E. Molin & Bert Van Wee & Theo A. Arentze & Harry J. P. Timmermans, 2006. "Responses to Transit Information among Car-drivers: Regret-based Models and Simulations," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(4), pages 249-271, March.
    12. Al-Deek, Haitham M. & Khattak, Asad J. & Thananjeyan, Paramsothy, 1998. "A combined traveler behavior and system performance model with advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 479-493, September.
    13. Peter E. Rossi & Arnold Zellner, 1986. "Evaluating the methodology of social experiments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 30, pages 131-166.
    14. Sebastian Bamberg & Daniel Rölle & Christoph Weber, 2003. "Does habitual car use not lead to more resistance to change of travel mode?," Transportation, Springer, vol. 30(1), pages 97-108, February.
    15. Khattak, Asad J. & De Palma, André, 1997. "The impact of adverse weather conditions on the propensity to change travel decisions: A survey of Brussels commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 181-203, May.
    16. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Cools, Mario & Creemers, Lieve, 2013. "The dual role of weather forecasts on changes in activity-travel behavior," Journal of Transport Geography, Elsevier, vol. 28(C), pages 167-175.
    2. Portnov, Boris A. & Axhausen, Kay W. & Tschopp, Martin & Schwartz, Moshe, 2011. "Diminishing effects of location? Some evidence from Swiss municipalities, 1950–2000," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1368-1378.
    3. Guell, C. & Panter, J. & Jones, N.R. & Ogilvie, D., 2012. "Towards a differentiated understanding of active travel behaviour: Using social theory to explore everyday commuting," Social Science & Medicine, Elsevier, vol. 75(1), pages 233-239.
    4. Alexander Petre & Jeffrey Wagner, 2013. "Green Consumption under Misperceived Prices: An Application to Active Transportation," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 187-204, July.
    5. Daniel A Rodriguez & Jennifer Rogers, 2014. "Can Housing and Accessibility Information Influence Residential Location Choice and Travel Behavior? An Experimental Study," Environment and Planning B, , vol. 41(3), pages 534-550, June.
    6. Páez, Antonio & Moniruzzaman, Md. & Bourbonnais, Pierre-Leo & Morency, Catherine, 2013. "Developing a web-based accessibility calculator prototype for the Greater Montreal Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 103-115.
    7. Viacheslav Morozov & Sergei Iarkov, 2021. "Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation," Sustainability, MDPI, vol. 13(15), pages 1-21, July.

    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. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    2. Li, Jingjing & Auchincloss, Amy H. & Yang, Yong & Rodriguez, Daniel A. & Sánchez, Brisa N., 2020. "Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 85(C).
    3. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    4. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    5. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.
    6. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.
    7. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    8. Daniel A Rodriguez & Jennifer Rogers, 2014. "Can Housing and Accessibility Information Influence Residential Location Choice and Travel Behavior? An Experimental Study," Environment and Planning B, , vol. 41(3), pages 534-550, June.
    9. Cao, Xinyu & Mokhtarian, Patricia L. & Handy, Susan L., 2007. "Residential and Travel Choices of Elderly Residents of Northern California," 48th Annual Transportation Research Forum, Boston, Massachusetts, March 15-17, 2007 207925, Transportation Research Forum.
    10. Marta Borowska-Stefańska & Michał Kowalski & Paulina Kurzyk & Alireza Sahebgharani & Szymon Wiśniewski, 2022. "Spatiotemporal Changeability of the Load of the Urban Road Transport System under Permanent and Short-Term Legal and Administrative Retail Restrictions," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
    11. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    12. Khan, Mobashwir & M. Kockelman, Kara & Xiong, Xiaoxia, 2014. "Models for anticipating non-motorized travel choices, and the role of the built environment," Transport Policy, Elsevier, vol. 35(C), pages 117-126.
    13. Lee, Yongsung & Guhathakurta, Subhrajit, 2018. "An analysis of the effects of suburban densification on vehicle use for shopping: Do existing residents respond to land-use changes in the same way as recent movers?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 193-204.
    14. Andrew Clark & Darren Scott, 2014. "Understanding the Impact of the Modifiable Areal Unit Problem on the Relationship between Active Travel and the Built Environment," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 284-299, February.
    15. Jina Mahmoudi & Lei Zhang, 2020. "Impact of the Built Environment Measured at Multiple Levels on Nonmotorized Travel Behavior: An Ecological Approach to a Florida Case Study," Sustainability, MDPI, vol. 12(21), pages 1-39, October.
    16. Liang Long & Jie Lin & Kimon Proussaloglou, 2010. "Investigating Contextual Variability in Mode Choice in Chicago Using a Hierarchical Mixed Logit Model," Urban Studies, Urban Studies Journal Limited, vol. 47(11), pages 2445-2459, October.
    17. Tae-Hyoung Tommy Gim, 2017. "Full Random Coefficients Multilevel Modeling of the Relationship between Land Use and Trip Time on Weekdays and Weekends," Sustainability, MDPI, vol. 9(10), pages 1-26, October.
    18. Schneider, Robert J., 2013. "Theory of routine mode choice decisions: An operational framework to increase sustainable transportation," Transport Policy, Elsevier, vol. 25(C), pages 128-137.
    19. Zhu, Pengyu & Zhao, Songnian & Jiang, Yanpeng, 2022. "Residential segregation, built environment and commuting outcomes: Experience from contemporary China," Transport Policy, Elsevier, vol. 116(C), pages 269-277.
    20. Yinjie He & Biao Liu & Chengyou Xu & Dafang Wu, 2025. "Literature Review on Public Transport and Land Use: Based on CiteSpace Statistical Analysis," Land, MDPI, vol. 14(5), pages 1-21, 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:eee:jotrge:v:19:y:2011:i:2:p:304-312. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.