IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v34y2000i4p243-260.html
   My bibliography  Save this article

Transferring insights into commuter behavior dynamics from laboratory experiments to field surveys

Author

Listed:
  • Mahmassani, Hani S.
  • Jou, Rong-Chang

Abstract

The principal objective of this paper is to perform a comparative analysis and interpretation of commuter behavior revealed in field surveys and laboratory experiments. The experimental studies have provided valuable insights into complex human decision behavior, but they were primarily intended to develop the underlying theoretical constructs, and were based primarily on simulated traffic situations. The transferability of these insights to commuter behavior in real traffic systems has not been sufficiently established, and remains to be accomplished as the next logical step towards the operational use of such models of commuter behavior. Thus, in this paper, comparisons between the field survey results and the experiments involving real commuters in a simulated traffic system are performed to confirm and better interpret the models and the conclusions resulting from such experiments. Such informal tests of external validity are very important from a methodological standpoint as laboratory and stated preference experiments continue to play an increasingly important role in travel behavior research, especially in connection with the introduction of new technologies.

Suggested Citation

  • Mahmassani, Hani S. & Jou, Rong-Chang, 2000. "Transferring insights into commuter behavior dynamics from laboratory experiments to field surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 243-260, May.
  • Handle: RePEc:eee:transa:v:34:y:2000:i:4:p:243-260
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965-8564(99)00003-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hani S. Mahmassani & Gang-Len Chang & Robert Herman, 1986. "Individual Decisions and Collective Effects in a Simulated Traffic System," Transportation Science, INFORMS, vol. 20(4), pages 258-271, November.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    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. Fan Jiang & Lichao Wang & Shiyu Huang, 2022. "Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    2. Albert, Gila & Toledo, Tomer & Ben-Zion, Uri, 2011. "The role of personality factors in repeated route choice behavior: behavioral economics perspective," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 48, pages 47-59.
    3. Anthony Ziegelmeyer & Frédéric Koessler & Kene Boun My & Laurent Denant-Boèmont, 2008. "Road Traffic Congestion and Public Information: An Experimental Investigation," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 43-82, January.
    4. Thomas, Tom & Tutert, Bas, 2015. "Route choice behavior in a radial structured urban network: Do people choose the orbital or the route through the city center?," Journal of Transport Geography, Elsevier, vol. 48(C), pages 85-95.
    5. Xuan Di & Henry X. Liu & Shanjiang Zhu & David Levinson, 2014. "Indifference Bands for Route Switching," Working Papers 000123, University of Minnesota: Nexus Research Group.
    6. Sunitiyoso, Yos & Avineri, Erel & Chatterjee, Kiron, 2013. "Dynamic modelling of travellers’ social interactions and social learning," Journal of Transport Geography, Elsevier, vol. 31(C), pages 258-266.
    7. Sunitiyoso, Yos & Avineri, Erel & Chatterjee, Kiron, 2011. "The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 332-344, May.
    8. A. de Palma & F. Marchal, 2000. "Dynamic traffic analysis with static data: some guidelines with an application to Paris," THEMA Working Papers 2000-55, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Chidambaram, Bhuvanachithra & Janssen, Marco A. & Rommel, Jens & Zikos, Dimitrios, 2014. "Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 9-22.
    10. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    11. John Talberth & Robert P. Berrens & Michael Mckee & Michael Jones, 2006. "Averting And Insurance Decisions In The Wildland–Urban Interface: Implications Of Survey And Experimental Data For Wildfire Risk Reduction Policy," Contemporary Economic Policy, Western Economic Association International, vol. 24(2), pages 203-223, April.
    12. Carina Goldbach & Christin Hoffmann & Julia Hoppe & Thomas Pitz & Kirsten Thommes, 2020. "The fast and the furious—An experimental investigation of the pace of life and risky speed choice in traffic," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.
    13. Guohui Zhang & Zhong Wang & Khali Persad & C. Walton, 2014. "Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas," Transportation, Springer, vol. 41(2), pages 231-249, March.
    14. Chao Chen & Caspar Chorus & Eric Molin & Bert Wee, 2016. "Effects of task complexity and time pressure on activity-travel choices: heteroscedastic logit model and activity-travel simulator experiment," Transportation, Springer, vol. 43(3), pages 455-472, May.
    15. Di, Xuan & Liu, Henry X., 2016. "Boundedly rational route choice behavior: A review of models and methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 142-179.
    16. Erel Avineri, 2006. "The Effect of Reference Point on Stochastic Network Equilibrium," Transportation Science, INFORMS, vol. 40(4), pages 409-420, November.
    17. Xuan Di & Henry X. Liu & Shanjiang Zhu & David M. Levinson, 2017. "Indifference bands for boundedly rational route switching," Transportation, Springer, vol. 44(5), pages 1169-1194, September.
    18. Kumar, Amit & Peeta, Srinivas, 2015. "A day-to-day dynamical model for the evolution of path flows under disequilibrium of traffic networks with fixed demand," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 235-256.
    19. Xinjie Zhang & Hongzhi Guan & Haiyan Zhu & Junze Zhu, 2019. "Analysis of Travel Mode Choice Behavior Considering the Indifference Threshold," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    20. Jian Li & Kaan Ozbay & Bekir Bartin, 2015. "Effects of Hurricanes Irene and Sandy in New Jersey: traffic patterns and highway disruptions during evacuations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 2081-2107, September.
    21. André De Palma & Cédric Fontan & Asad J. Khattak, 2004. "Analyzing work departure time variability in Brussels," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(4), pages 89-110.
    22. Jiayang Li & Zhaoran Wang & Yu Marco Nie, 2023. "Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice," Papers 2304.02500, arXiv.org, revised Feb 2024.
    23. Alessandro Vacca & Carlo Giacomo Prato & Italo Meloni, 2019. "Should I stay or should I go? Investigating route switching behavior from revealed preferences data," Transportation, Springer, vol. 46(1), pages 75-93, February.

    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. Torgler, Benno & Schneider, Friedrich & Schaltegger, Christoph A., 2007. "With or Against the People? The Impact of a Bottom-Up Approach on Tax Morale and the Shadow Economy," Berkeley Olin Program in Law & Economics, Working Paper Series qt6331x6vz, Berkeley Olin Program in Law & Economics.
    2. Daniel Fonseca Costa & Francisval Carvalho & Bruno César Moreira & José Willer Prado, 2017. "Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1775-1799, June.
    3. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    4. Jae Wook Yoo & Richard Reed & Shung Jae Shin & David J. Lemak, 2009. "Strategic Choice and Performance in Late Movers: Influence of the Top Management Team's External Ties," Journal of Management Studies, Wiley Blackwell, vol. 46(2), pages 308-335, March.
    5. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    6. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    7. José Castro Caldas & Helder Coelho, 1999. "The Origin of Institutions: Socio-Economic Processes, Choice, Norms and Conventions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-1.
    8. Nagler Matthew G., 2007. "Understanding the Internet's Relevance to Media Ownership Policy: A Model of Too Many Choices," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, June.
    9. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
    10. Ranganathan, Kavitha & Lejarraga, Tomás, 2021. "Elicitation of risk preferences through satisficing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    11. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    12. Andrew Caplin & Mark Dean & Daniel Martin, 2011. "Search and Satisficing," American Economic Review, American Economic Association, vol. 101(7), pages 2899-2922, December.
    13. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    14. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    15. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    16. Nathan N. Cheek & Jacob Goebel, 2020. "What does it mean to maximize? “Decision difficulty,†indecisiveness, and the jingle-jangle fallacies in the measurement of maximizing," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(1), pages 7-24, January.
    17. Marianne Bertrand & Dean S. Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," Working Papers 918, Economic Growth Center, Yale University.
    18. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    19. Manolis, Chris & Nygaard, Arne & Stillerud, Bård, 1997. "Uncertainty and vertical control: An international investigation," International Business Review, Elsevier, vol. 6(5), pages 501-518, October.
    20. Umar, Tarik, 2022. "Complexity aversion when SeekingAlpha," Journal of Accounting and Economics, Elsevier, vol. 73(2).

    More about this item

    Statistics

    Access and download statistics

    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:transa:v:34:y:2000:i:4:p:243-260. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.