Case Studies
Feb 10, 2017

Rise of Interjurisdictional Commuters and Their Mode Choice: Evidence from the Chicago Metropolitan Area

Publication: Journal of Urban Planning and Development
Volume 143, Issue 3

Abstract

Parallel with the rapid regional economic development and urban sprawl, the phenomenon of interjurisdictional commuting with the associated greater dependence on car and long-distance trips has brought new challenges to urban planning with transport sustainability concerns. However, existing empirical literature focusing on the phenomenon is scarce. This paper contributes to the limited number of investigations on the characteristics of interjurisdictional commuters and explores the determinants of the mode choice in their journey to work. Based on the disaggregate survey data in Chicago metropolitan area, the difference between common commuters and interjurisdictional commuters in their socioeconomic characteristics and travel pattern is illustrated. The empirical results indicate that income, car and driving license ownership, and travel time have significant impacts on the mode choice of this specific population. Additionally, working patterns such as teleworking is also a significant predictor that has possible policy implications.

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References

Adams, D., Larkham, P., and Pain, K. (2015). “Viewpoint re-evaluating the place of urban planning history.” Town Plann. Rev., 86(4), 373–380.
Aguiléra, A., Wenglenski, S., and Proulhac, L. (2009). “Employment suburbanisation, reverse commuting and travel behavior by residents of the central city in the Paris metropolitan area.” Transport. Res. A-Pol., 43(7), 685–691.
Arbués, P., Baños, J. F., Mayor, M., and Suárez, P. (2015). “Determinants of ground transport modal choice in long-distance trips in Spain.” Transport. Res. A-Pol., 84, 131–143.
Asensio, J. (2002). “Transport mode choice by commuters to Barcelona’s CBD.” Urban Stud., 39(10), 1881–1895.
Bagley, M. N., and Mokhtarian, P. L. (2002). “The impact of residential neighborhood type on travel behavior: A structural equations modeling approach.” Ann. Reg. Sci., 36(2), 279–297.
Ben-Akiva, M., and Richards, M. G. (1976). “Disaggregate multimodal model for work trips in the Netherlands.” Transport. Res. Rec., 569, 107–123.
Buehler, R. (2011). “Determinants of transport mode choice: A comparison of Germany and the U.S.A.” J. Transp. Geogr., 19(4), 644–657.
Cervero, R. (1989). “Jobs-housing balancing and regional mobility.” J. Am. Plann. Assoc., 55(2), 136–150.
Cervero, R., and Kockelman, K. (1997). “Travel demand and the 3ds: Density, diversity, and design.” Transport. Res. D-Tr. E., 2(3), 199–219.
Chen, C., Gong, H., and Paaswell, R. (2008). “Role of the built environment on mode choice decisions: Additional evidence on the impact of density.” Transportation, 35(3), 285–299.
Commins, N., and Nolan, A. (2011). “The determinants of mode of transport to work in the greater Dublin area.” Transp. Policy, 18(1), 259–268.
Crane, R. (2007). “Is there a quiet revolution in women’s travel? Revisiting the gender gap in commuting.” J. Am. Plann. Assoc., 73(3), 298–316.
Ewing, R., and Cervero, R. (2010). “Travel and the built environment: A meta-analysis.” J. Am. Plann. Assoc., 76(3), 265–294.
Ferreira, A., Antunes, A., and Seco, Á. (2006). “Planning implications of the Oporto region inter-municipal travel patterns.” Joint Int. Conf. on Computing and Decision Making in Civil and Building Engineering, Montreal, 2625–2635.
García-Palomares, J. C. (2010). “Urban sprawl and travel to work: The case of the metropolitan area of Madrid.” J. Transp. Geogr., 18(2), 197–213.
Giles-Corti, B., Sugiyama, T., Badland, H., Koohsari, M., and Owen, N. (2016). “Discussion of “How to have sustainable transportation without making people drive less or give up suburban living” by Mark Delucchi and Kenneth S. Kurani.” J. Urban Plann. Dev., .
Gillard, Q. (2006). “Reverse commuting and the inner city low-income problem.” Growth Change, 10(3), 12–18.
Gordon, P., Kumar, A., and Richardson, H. (1989). “Gender differences in metropolitan travel behaviour.” Reg. Stud., 23(6), 499–510.
Graizbord, B. (2014). “Teleworking as a mobility strategy for Mexico City.” Int. Plann. Stud., 20(1–2), 1–19.
Han, J., Hayashi, Y., Cao, X., and Imura, H. (2009). “Evaluating land-use change in rapidly urbanizing China: Case study of Shanghai.” J. Urban Plann. Dev., 166–171.
Helminen, V., and Ristimäki, M. (2014). “Relationships between commuting distance, frequency, and telework in Finland.” J. Transp. Geogr., 15(5), 331–342.
Howard, E. S. (2003). “Garden cities of to-morrow.” Organ Environ, 16(1), 98–107.
Joseph, H. U. (1976). “Characteristics of Oklahoma intercounty commuters.” Growth Change, 7(3), 32–37.
Kitamura, R. (1989). “A causal analysis of car ownership and transit use.” Transportation, 16(2), 155–173.
Lave, C. A. (1970). “The demand for urban mass transportation.” Rev. Econ. Stat., 52(3), 320–323.
Limtanakool, N., Dijst, M., and Schwanen, T. (2006). “The influence of socioeconomic characteristics, land use, and travel time considerations on mode choice for medium- and longer-distance trips.” J. Transp. Geogr., 14(5), 327–341.
Loo, B. P. Y., and Chow, A. S. Y. (2011). “Jobs-housing balance in an era of population decentralization: An analytical framework and a case study.” J. Transp. Geogr., 19(4), 552–562.
McFadden, D. (1974). “Conditional logit analysis of qualitative choice behavior.” Frontiers in econometrics, Academic Press, New York.
McKenzie, B. (2013a). “County-to-county commuting flows: 2006–10.” ⟨https://www.census.gov/library/working-papers/2013/acs/2013-McKenzie.html⟩ (Jun. 3, 2016).
McKenzie, B. (2013b). “Out-of-state and long commutes: 2011, American community survey reports.” ⟨https://www.census.gov/prod/2013pubs/acs-20.pdf⟩ (Jun. 17, 2016).
Merriman, D., Ohkawara, T., and Suzuki, T. (1995). “Excess commuting in the Tokyo metropolitan area: Measurement and policy simulations.” Urban Stud., 32(1), 69–86.
Morgenroth, E. L. (2002). “Commuting in Ireland: An analysis of intercounty commuting flows.” Economic and Social Research Institute, Dublin, Ireland.
Moss, M., and Qing, C. (2012). The emergence of the ‘supercommuter’, Rudin Centre for Transportation, Wagner School of Public Service, New York Univ., New York.
Ogura, L. M. (2010). “Effects of urban growth controls on intercity commuting.” Urban Stud., 47(10), 2173–2193.
Palma, A. D., and Rochat, D. (2000). “Mode choices for trips to work in Geneva: An empirical analysis.” J. Transp. Geogr., 8(1), 43–51.
Persyn, D., and Torfs, W. (2015). “A gravity equation for commuting with an application to estimating regional border effects in Belgium.” J. Econ. Geogr., 16(1), 155–175.
Sandow, E., and Westin, K. (2010). “The persevering commuter-duration of long-distance commuting.” Transport. Res. A-Pol., 44(6), 433–445.
Saveyn, B. (2013). “On NIMBY and commuting.” Int. Tax Public Finan., 20(2), 293–311.
Scheiner, J. (2006). “Housing mobility and travel behavior: A process-oriented approach to spatial mobility: Evidence from a new research field in Germany.” J. Transp. Geogr., 14(4), 287–298.
Sööt, S., Berman, J., and DiJohn, J. (2006). “Emerging commuting trends: Evidence from the Chicago area.” J. Transport. Res. Forum, 45(3), 109–123.
Taylor, B. D., Miller, D., Iseki, H., and Fink, C. (2009). “Nature and/or nurture? Analyzing the determinants of transit ridership across U.S. urbanized areas.” Transpor. Res. A-Pol, 43(1), 60–77.
Train, K. (1980). “A structured logit model of auto ownership and mode choice.” Rev. Econ. Stud., 47(2), 357–370.
U.S. Department of Commerce. (2007). “Median household income for states: 2007 and 2008 American community surveys.” ⟨https://www.census.gov/prod/2009pubs/acsbr08-2.pdf⟩ (May 5, 2016).
U.S. Department of Transportation. (2006). “Long distance transportation patterns: Mode choice.” ⟨http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/publications/america_on_the_go/long_distance_transportation_patterns/html/entire.html⟩ (May 15, 2016).
Wilkinson, L., and Butt, A. (2013). “The prevalence and characteristics of commuting between small towns and regional centers in regional Victoria.” Rural Soc., 23(1), 75–86.
Zhang, M. (2010). “Can transit-oriented development reduce peak-hour congestion?” Transport. Res. Rec., 2174(2174), 148–155.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 143Issue 3September 2017

History

Received: Jun 6, 2016
Accepted: Nov 17, 2016
Published online: Feb 10, 2017
Discussion open until: Jul 10, 2017
Published in print: Sep 1, 2017

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Qiaochu Wang [email protected]
Research Assistant, School of Naval Architecture, Ocean and Civil Engineering, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong Univ., 800 Dongchuan Rd., Shanghai, P.R. China. E-mail: [email protected]
Professor, School of Naval Architecture, Ocean and Civil Engineering, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong Univ., 800 Dongchuan Rd., Shanghai, P.R. China (corresponding author). ORCID: https://orcid.org/0000-0002-2527-2964. E-mail: [email protected]

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