Impact of high-speed rail on intercity travel behavior change: The evidence from the Chengdu-Chongqing Passenger Dedicated Line
Xiaohong Ren
School of Economics and Management, Chongqing Jiaotong University
Zhenhua Chen
City and Regional Planning, Austin E. Knowlton School of Architecture, The Ohio State University
Fang Wang
School of Economics and Management, Chongqing Jiaotong University
Jiamei Wang
School of Economics and Management, Chongqing Jiaotong University
Chunyang Wang
College of Economics and Business Administration, Chongqing University
Ting Dan
School of Economics and Management, Chongqing Jiaotong University
Zongyang Du
School of Mathematical Sciences, Nankai University
DOI: https://doi.org/10.5198/jtlu.2019.1302
Keywords: High-speed railway, Inter-city travel, Contact strength, Chongqing, Chengdu
Abstract
This paper investigates the impact of high-speed rail (HSR) on intercity travel behavior changes using the Chengdu-Chongqing (Chengyu) Passenger Dedicated Line (PDL) as an example. Based on the statistical analysis of survey data that consists of 1384 samples, the result shows that HSR has become the primary mode of intercity travel between Chengdu and Chongqing. Specifically, travel demand has increased by 60% after the operation of the HSR system and the demand change is affected by several factors, such as trip purpose, gender, and travel time savings. The result also shows that the variation of travel demand in both directions declined after the opening of HSR, which suggests that HSR tends to promote a convergent growth of intercity travel demand. Although most passengers ride the Chengyu HSR for a personal reason, the number of riders using it for commuting and business purposes has also increased substantially. Overall, the study confirms that the economic link between Chengdu and Chongqing has been enhanced by the operation of HSR.References
Boarnet, M. G. (1996). The direct and indirect economic effects of transportation infrastructure. Retrieved from University of California Transportation Center working papers https://EconPapers.repec.org/RePEc:cdl:uctcwp:qt1506r290.
Campos, J., & de Rus, G. (2009). Some stylized facts about high-speed rail: A review of HSR experiences around the world. Transport Policy, 16(1), 19–28. doi: org/10.1016/j.tranpol.2009.02.008
Cascetta, E., Papola, A., Pagliara, F., & Marzano, V. (2011). Analysis of mobility impacts of the high speed rome–naples rail link using withinday dynamic mode service choice models. Journal of Transport Geography, 19(4), 635–643. doi: dx.doi.org/doi:10.1016/j.jtrangeo.2010.07.001
Chan, C. S., & Yuan, J. (2017). Changing travel behaviour of high-speed rail passengers in China. Asia Pacific Journal of Tourism Research, 22(12), 1221–1237. doi: org/10.1080/10941665.2017.1391303
Chen, C. L., & Hall, P. (2011). The impacts of high-speed trains on British economic geography: A study of the UK’s intercity 125/225 and its effects. Journal of Transport Geography, 19(4), 689–704. doi: org/10.1016/j.jtrangeo.2010.08.010
Chen, C. L., & Hall, P. (2012). The wider spatial-economic impacts of high-speed trains: A comparative case study of Manchester and Lille sub-regions. Journal of Transport Geography, 24(4), 89–110. doi:org/10.1016/j.jtrangeo.2011.09.002
Chen, C. L. (2012). Reshaping Chinese space-economy through high-speed trains: Opportunities and challenges. Journal of Transport Geography, 22(2), 312–316. doi: org/10.1016/j.jtrangeo.2012.01.028
Chen, H., Sun, D., Zhu, Z., & Zeng, J. (2016). The impact of high-speed rail on residents’ travel behavior and household mobility: A case study of the Beijing-Shanghai Line, China. Sustainability, 8(11), 1187. doi: https://10.3390/su8111187
Chen, Z., & Haynes, K. E. (2015a). Impact of high-speed rail on housing values: An observation from the Beijing-Shanghai line. Journal of Transport Geography, 43, 91–100. doi: org/10.1016/j.jtrangeo.2015.01.012
Chen, Z., & Haynes, K. E. (2015b). Chinese Railways in the Era of High-speed. Bingley, UK: Emerald Group Publishing Limited. Retrieved from https://books.emeraldinsight.com/page/detail/?k=9781784419851
Chen, Z., Xue, J., Rose, A. Z., & Haynes, K. E. (2016). The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis. Transportation Research Part A Policy & Practice, 92, 232–245. doi: org/10.1016/j.tra.2016.08.006
Cheng, Y. S., Loo, B. P., & Vickerman, R. (2015). High-speed rail networks, economic integration and regional specialization in China and Europe. Travel Behavior and Society, 2(1), 1–14. doi: org/10.1016/j.tbs.2014.07.002
Ding, J., Jin, F., Wang, J., & Liu, D. (2013). Competition game of high-speed rail and civil aviation and its spatial effect-a case study of Beijing-Shanghai high-speed rail. Economic Geography, 33(5), 104–110. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-JJDL201305017.htm
Fang, D., & Sun, M. (2014). Study on regional spatial structure reconfiguration in the era of high-speed rail. Contemporary Economic Management, 36(2), 63–66. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-DJGL201402013.htm
Garmendia, M., Ribalaygua, C., & Ureña, J. M. (2012). High speed rail: Implication for cities. Cities, 29, S26–S31. doi: org/10.1016/j.cities.2012.06.005
Givoni, M., & Dobruszkes, F. (2013). A review of ex-post evidence for mode substitution and induced demand following the introduction of high-speed rail. Transport Reviews, 33(6), 720–742. Retrieved from https://EconPapers.repec.org/RePEc:ulb:ulbeco:2013/152140
Gutiérrez, J., Gonzalez, R., & Gomez, G. (1996). The European high-speed train network: Predicted effects on accessibility patterns. Journal of Transport Geography, 4(4), 227–238. doi: org/10.1016/S0966-6923(96)00033-6
Gutiérrez, J. (2001). Location, economic potential and daily accessibility: An analysis of the accessibility impact of the high-speed line Madrid-Barcelona-French border. Journal of Transport Geography, 9(4), 229–242. doi: org/10.1016/S0966-6923(01)00017-5
Hall, P. (2009). Magic carpets and seamless webs: Opportunities and constraints for high-speed trains in Europe. Built Environment, 35(1), 59–69. Retrieved from http://www.jstor.org/stable/23289644
Haynes, K. E. (1997). Labor markets and regional transportation improvements: The case of high-speed trains, an introduction and review. The Annals of Regional Science, 31(1), 57––76. doi: org/10.1007/s001680050039
Hou, X., Liu, S., Zhang, W., & Hu, Z. (2011). Characteristics of commuting behaviors between Beijing and Tianjin influenced by high-speed trains. Economic Geography, 31(9), 1573–1579. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-JJDL201109027.htm
Jiang, B., Chu, N., Xiu, C., Zhao, Y., Li, X., & Luo, C. (2016). Comprehensive evaluation and comparative analysis of accessibility in the “four vertical and four horizontal” HSR networks in China. Acta Geographica Sinica, 71(4), 591–604. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-DLXB201604006.htm
Jiao, J., Wang, J., Jin, F., & Dunford, M. (2014). Impacts on accessibility of China’s present and future HSR network. Journal of Transport Geography, 40, 123–132. doi: org/10.1016/j.jtrangeo.2014.07.004
Jin, F., & Wang, J. (2004). Railway network expansion and spatial accessibility analysis in China: 1906–2000. Acta Geographica Sinica, 59(2), 293–302. Retrieved from http://www.geog.com.cn/CN/Y2004/V59/I2/293
Kim, K. S. (2000). High-speed rail developments and spatial restructuring: A case study of the capital region in South Korea 1. Cities, 17(4), 251–262. doi: org/10.1016/S0264-2751(00)00021-4
Kivisto, P. (2012). Time-space compression. The Wiley-Blackwell Encyclopedia of Globalization. doi: org/10.1002/9780470670590.wbeog557
Li, J., Zhu, S., Li, A., Ma, H., & Gu, Q. (2006). Trip characteristics of intercity and incity of Changzhutan urban agglomeration. Transportation Science & Technology, 6, 69–72. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-SKQB200606025.htm
Li, W., Jiang, J., & Lou, Y. (2009). Research on the structural characteristics in mid-Zhejiang urban agglomeration based on the relationship analysis. Economic Geography, 29(10), 1644–1649. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-JJDL200910015.htm
Li, X., Liu, Y., & Cao, L. (2014). Research about the influence of population space of flow under the high-speed railway construction. China Population Resources & Environment, 24(6), 140–147. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-ZGRZ201406021.htm
Long, M., & Meng, X. (2015). Urbanization, suburbanization and China’s urban spatial expansion. Areal Research and Development, 34(3), 53–60. Retrieved from http://or.nsfc.gov.cn/handle/00001903-5/266822
Long, M., Meng, X., & Li, G. (2019). Literature review of the overseas studies on the economic and spatial effect of high-speed rail. Urban Planning International, 34(01):99-107. URL http://kns.cnki.net/kcms/detail/11.5583.TU.20170823.0932.003.html
Lu, D. (2001). An analysis of spatial structure and optimal regional development. Acta Geographica Sinica, 2, 127–135. Retrieved from http://www.geogsci.com/EN/abstract/abstract21768.shtml
Ma, W., Wang, Y., & Liu, S. (2012). Transportation infrastructure and population migration in China: An analysis based on gravity model. China Soft Science, 3, 69–78. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-ZGRK201203009.htm
Mou, Z., Li, M., & Cui, D. (2014). Intercity travel behavior study under the integration of Guangzhou and Foshan. Urban Development Studies, 21(8), 44–49. Retrieved from http://en.cnki.com.cn/Article_en/CJFDTotal-CSFY201408008.htm
Perl, A. D., & Goetz, A. R. (2015). Corridors, hybrids and networks: Three global development strategies for high-speed rail. Journal of Transport Geography, 42, 134–144. doi: org/10.1016/j.jtrangeo.2014.07.006
Rietveld, P. (1989). Infrastructure and regional development. Annals of Regional Science, 23(4), 255–274. doi: org/10.1007/BF01579778
Shaw, S. L., Fang, Z., Lu, S., & Tao, R. (2014). Impacts of high-speed rail on railroad network accessibility in China. Journal of Transport Geography, 40, 112–122. doi: org/10.1016/j.jtrangeo.2014.03.010
Wang, J., & Jin, F. (2005). Railway network organization and spatial service system optimization in China. Acta Geographica Sinica, 60(3), 371–380. Retrieved from http://www.geog.com.cn/CN/Y2005/V60/I3/371
Yu, S., Chen, G., Martínez, L. M., de Abreu e Silva, J. (2015). Bi-level cellular agent-based model: Simulation of potential impacts of high-speed rail on land cover change in the Lisbon Metropolitan Area, Portugal. Journal of Transport and Land Use, 8(3), 151–180. Retrieved from https://www.jtlu.org/index.php/jtlu/article/view/640/718
Zhong, Y., Huang, J., & Wen, Y. (2015). Impact of high-speed railway on spatial pattern of Chinese cities’ accessibility. Scientia Geographica Sinica, 35(4), 387–395. Retrieved from http://geoscien.neigae.ac.cn/CN/10.13249/j.cnki.sgs.2015.04.387
Zhou, J. (2015). Measure the urban adsorption capacity of China’s high-speed rail. Chinese Journal of Social Sciences. Retrieved from http://www.cssn.cn/xk/xk_tp/201504/t201504131584169.shtml