Technical Papers
Nov 17, 2012

Study of Modal Shifts to Bus Rapid Transit in Chinese Cities

Publication: Journal of Transportation Engineering
Volume 139, Issue 5

Abstract

This paper applies a binary logistic analysis method for assessing impacts of modal shifts from automobiles, normal buses, and nonmotorized vehicles caused by bus rapid transit (BRT) deployments using survey data collected on six representative BRT corridors in China. The traveler’s demographic and socioeconomic attributes (gender, age) and trip-related attributes (trip purpose, travel time savings, trip costs, trip distances, and weekly travel frequencies) are found to be statistically significant in influencing modal shifts to BRT. Ridership characteristics and preferences are found to vary significantly by BRT corridor based on travel mode, demographics, socioeconomic status, and the perceived benefits in travel time and trip costs, suggesting that BRT deployment strategies must recognize the heterogeneous nature of ridership and travel preferences. The probability of modal shifts to BRT could reach up to 15% for travel time savings of 10 min and then increase steadily for a greater extent of travel time savings. For relatively long trip distances greater than 5 km and high weekly trip frequencies greater than 10 trips, all other things being equal, the probability of modal shifts to BRT could reach 13–57% and 9–55%, respectively. The findings are consistent with some notable studies conducted in other countries.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This study was funded by the Reason Foundation as part of the Robert W. Galvin Mobility Initiative (GMI) China Project. The authors gratefully acknowledge the financial support of China National Science Foundation Project No. 51178055/E0807, Ministry of Science and Technology’s Transportation Construction Project No. 20113182211210, and Ministry of Transportation’s Science and Technology Project No. 2011318223710.

References

Al-Dubikhi, S. (2010). “Bus rapid transit in Ottawa, 1978 to 2008.” Town Plann. Rev., 81(4), 407–424.
Alvinsyah, S. S., and Nainggolan, P. J. (2005). “Public transport user attitude based on choice model parameter characteristics.” J. East. Asia Soc. Transp. Stud., 6, 480–491.
Bajracharya, A. R. (2008). “The impact of modal shift on the transport ecological footprint: A case study of the proposed bus rapid transit system in Ahmedabad, India.” M.S. thesis, International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands.
Ben-Akiva, M., and Lerman, S. (1985). Discrete choice analysis: Theory and application to travel demand, MIT Press, Cambridge, MA.
Ben-Akiva, M., and Morikawa, T. (2002). “Comparing ridership attraction of rail and bus.” J. Transport Policy, 9(2), 107–116.
Cervero, R., and Kang, C. D. (2010). “Bus rapid transit impacts on land uses and land values in Seoul, Korea.” Transp. Policy, 18(1), 102–116.
Davison, L. J., and Knowles, R. D. (2006). “Bus quality partnerships, modal shift and traffic decongestion.” J. Transport Geogr., 14, 177–194.
Domencich, T., and McFadden, D. L. (1975). Urban travel demand: A behavioral analysis, North-Holland, Amsterdam, The Netherlands.
Ernst, J. P. (2005). “Initiating bus rapid transit in Jakarta, Indonesia.”, Transportation Research Board, Washington, DC, 20–26.
Greene, W. H. (2007). NLogit Version 4.0 user’s manual, Econometric Software, Bellport, NY.
Kittelson & Associates. (2007). TCRP Report 118: Bus rapid transit practitioner’s guide, National Academies Press, Washington, DC.
Levinson, H., et al. (2003a). TCRP Report 90: Bus rapid transit. Vol. 1: Case studies in bus rapid transit, National Academies Press, Washington, DC.
Levinson, H., et al. (2003b). TCRP Report 90: Bus rapid transit. Vol. 2: Implementation guidelines, National Academies Press, Washington, DC.
Lin, Z., and Wu, J. (2007). “Summary of the application effect of bus rapid transit at Beijing south-centre corridor of China.” J. Transp. Syst. Eng. Inf. Technol., 7(4), 137–142.
Lleras, G. C. (2003). “Bus rapid transit impact on travel behavior in Bogota.” M.S. thesis, Massachusetts Institute of Technology, Cambridge, MA.
Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics, Cambridge University Press, Cambridge, UK.
McDonnell, S., and Zellner, M. (2011). “Exploring the effectiveness of bus rapid transit: A prototype agent-based model of commuting behavior.” Transport Policy, 18(6), 825–832.
McFadden, D. L., Talvitie, A., Cosslet, S., Hasan, I., and Reid, F. A. (1977). Demand model estimation and validation. Urban travel demand forecasting project, Phase I final rep., Vol. 5, University of California, Berkeley, CA.
Patankar, V. M., Kumar, R., and Tiwari, G. (2007). “Impacts of bus rapid transit lanes on traffic and commuter mobility.” J. Urban Plann. Dev., 133(2), 99–106.
Rodríguez, D. A., and Mojica, C. H. (2009). “Capitalization of BRT network expansions effects into prices of non-expansion areas.” Transp. Res. A Policy Pract., 43(5), 560–571.
Takeshita, H., Kato, H., Hayashi, Y., and Shimizu, K. (2008). “Ex-post evaluation of bus rapid transit system in Nagoya City.” Proc., 11th World Conf. on Transport Research, World Conference on Transport Research Society, Lyon, France.
Tann, H. M., and Hinebaugh, D. (2009). Characteristics of bus rapid transit for decision-making, National BRT Institute, Tampa, FL.
Vedagiri, P., and Arasan, V. T. (2009). “Estimating modal shift of car travelers to bus on introduction of bus priority system.” J. Transp. Syst. Eng. Inf. Technol., 9(6), 120–129.
Wohrnschimmel, H., et al. (2008). “The impact of a bus rapid transit system on commuters’ exposure to benzene, CO, PM2.5 and PM10 in Mexico City.” Atmos. Environ., 42(35), 8194–8203.
Wright, L., and Hook, W. (2007). Bus rapid transit planning guide, Institute for Transportation and Development Policy, New York.
Yagi, S., and Mohammadian, A. (2008). “Policy simulation for new BRT and area pricing alternatives using an opinion survey in Jakarta.” Transp. Plann. Technol., 31(5), 589–612.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 5May 2013
Pages: 515 - 523

History

Received: Apr 27, 2012
Accepted: Nov 14, 2012
Published online: Nov 17, 2012
Published in print: May 1, 2013

Permissions

Request permissions for this article.

Authors

Affiliations

Yuanqing Wang
Professor and Chair, Dept. of Traffic Engineering, Chang’an Univ., P.O. Box 487, Xi’an, P.R. China 710064.
Zhicheng Wang
Graduate Research Assistant, Dept. of Traffic Engineering, Chang’an Univ., P.O. Box 487, Xi’an, P.R. China 710064.
A.M.ASCE
Associate Professor, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, 3201 South Dearborn St., Chicago, IL 60616 (corresponding author). E-mail address: [email protected]
Samuel R. Staley
Fellow and Managing Director, DeVoe L. Moore Center, Florida State Univ., 150 Bellamy Building, Tallahassee, FL 32306.
Adrian T. Moore
Vice President, Reason Foundation, 3415 South Sepulveda Blvd., Suite 400, Los Angeles, CA 90034.
Yanan Gao
Graduate Research Assistant, Dept. of Traffic Engineering, Chang’an Univ., P.O. Box 487, Xi’an, P.R. China 710064.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share