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Geography and social networks in transportation mode choice

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  • Pike, Susan
  • Lubell, Mark

Abstract

In this paper we explore the effects of social influence on travel behavior and utilize an instrumental variables approach to address the potential endogeneity related to similarities in the choice environments of socially connected individuals. We expect individuals to use a mode of transportation that is used by others in their social network. However, other factors important to mode choice, such as commute characteristics or transit access, may influence multiple members of a social network at the same time. Thus it is necessary to estimate the effects of social influence while taking into account the potential effects of shared environmental characteristics. We hypothesize that social influence is relevant to transportation mode choice, even when accounting for shared environmental characteristics among members of a social network. We explore this hypothesis, utilizing survey data collected from a sample of university students, in Davis California. The survey collected information about respondents' social networks, the transportation mode choices of their social contacts, and geographic information for the respondent and their social network. We estimate models using instrumental variables measuring neighborhood characteristics of the social contacts. Results provide evidence that social processes are important to travel behavior, even when accounting for similarities in behavior that may be attributed to similar choice environments.

Suggested Citation

  • Pike, Susan & Lubell, Mark, 2016. "Geography and social networks in transportation mode choice," Journal of Transport Geography, Elsevier, vol. 57(C), pages 184-193.
  • Handle: RePEc:eee:jotrge:v:57:y:2016:i:c:p:184-193
    DOI: 10.1016/j.jtrangeo.2016.10.009
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    as
    1. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 809-829, August.
    2. Christopher Baum & Yingying Dong & Arthur Lewbel & Tao Yang, 2012. "Binary choice models with endogenous regressors," SAN12 Stata Conference 9, Stata Users Group.
    3. Carillo, Maria Rosaria & Papagni, Erasmo & Sapio, Alessandro, 2013. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 25-36.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    6. Wang, Chih-Hao & Akar, Gulsah & Guldmann, Jean-Michel, 2015. "Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University," Journal of Transport Geography, Elsevier, vol. 42(C), pages 122-130.
    7. Diana Mok & Barry Wellman & Juan Carrasco, 2010. "Does Distance Matter in the Age of the Internet?," Urban Studies, Urban Studies Journal Limited, vol. 47(13), pages 2747-2783, November.
    8. K W Axhausen, 2008. "Social Networks, Mobility Biographies, and Travel: Survey Challenges," Environment and Planning B, , vol. 35(6), pages 981-996, December.
    9. Wilton, Robert D. & Páez, Antonio & Scott, Darren M., 2011. "Why do you care what other people think? A qualitative investigation of social influence and telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 269-282, May.
    10. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    11. Juan Antonio Carrasco & Bernie Hogan & Barry Wellman & Eric J Miller, 2008. "Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach," Environment and Planning B, , vol. 35(6), pages 961-980, December.
    12. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    13. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Viewpoint: Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 809-829, August.
    14. Sivaramakrishnan Srinivasan & Chandra Bhat, 2005. "Modeling household interactions in daily in-home and out-of-home maintenance activity participation," Transportation, Springer, vol. 32(5), pages 523-544, September.
    15. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    16. Juan Carrasco & Eric Miller, 2006. "Exploring the propensity to perform social activities: a social network approach," Transportation, Springer, vol. 33(5), pages 463-480, September.
    17. Walker, Joan L. & Ehlers, Emily & Banerjee, Ipsita & Dugundji, Elenna R., 2011. "Correcting for endogeneity in behavioral choice models with social influence variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 362-374, May.
    18. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    19. Darren M Scott & Ivy Dam & Antonio Páez & Robert D Wilton, 2012. "Investigating the Effects of Social Influence on the Choice to Telework," Environment and Planning A, , vol. 44(5), pages 1016-1031, May.
    20. Frank Goetzke & Patrick M. Andrade, 2010. "Walkability as a Summary Measure in a Spatially Autoregressive Mode Choice Model: An Instrumental Variable Approach," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 217-229, Springer.
    21. Frank Goetzke & Tilmann Rave, 2011. "Bicycle Use in Germany: Explaining Differences between Municipalities with Social Network Effects," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 427-437, February.
    22. Peter Howley, 2015. "Addressing endogeneity in estimating the effect of social capital on psychological health," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 76-79, January.
    23. Frank Goetzke, 2008. "Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York," Urban Studies, Urban Studies Journal Limited, vol. 45(2), pages 407-417, February.
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    2. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Post-Print hal-03702684, HAL.
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    4. Pike, Susan & Lubell, Mark, 2018. "The conditional effects of social influence in transportation mode choice," Research in Transportation Economics, Elsevier, vol. 68(C), pages 2-10.
    5. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
    6. Pike, Susan & Kothawala, Alimurtaza, 2019. "Informing a Pilot: Preparing the Pre-launch Survey for the Davis Amtrak Station Access Program," Institute of Transportation Studies, Working Paper Series qt04p9j3m2, Institute of Transportation Studies, UC Davis.
    7. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
    8. Chu, Chih-Peng & Chou, Yu-Hsin, 2021. "Using cellular data to analyze the tourists' trajectories for tourism destination attributes: A case study in Hualien, Taiwan," Journal of Transport Geography, Elsevier, vol. 96(C).
    9. Shifeng Wu & Emily Ma & Jiangyun Wang & Dan Li, 2022. "Experience with Travel Mobile Apps and Travel Intentions—The Case of University Students in China," Sustainability, MDPI, vol. 14(19), pages 1-16, October.

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