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Taxi hailing choice behavior and economic benefit analysis of emission reduction based on multi-mode travel big data

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  • Chen, Fangxi
  • Yin, Zhiwei
  • Ye, Yingwei
  • Sun, Daniel(Jian)

Abstract

During the passing decade, taxi floating car data (FCD) has become an important tool to investigate urban trip choice behaviors and activities. The corresponding taxi exhaust reduction issue is also with rather significance for traffic emission mitigation in urban areas. By taking Shanghai as an empirical case, this paper analyzed the spatiotemporal characteristics of multimode travelers by combining the taxi FCD (from Qiangsheng Inc.), the metro smartcard data and the GPS trajectories of Mobike, one of the most popular shared bicycles in China, 2018). Binomial logit models (BNL) were proposed to estimate mode choices for both peak and off-peak periods by incorporating socio-economic, demographic, urban morphology, land use properties, and various trip-related variables. The choices between metro and taxi, Mobike and taxi were analyzed, respectively, with the corresponding influential factors identified. The results indicated that the percentage of residential and commercial land uses, the number of educational facilities have significant impacts on travel mode choice during peak hours, while the percentage of commercial land, the number of hospitals and bus lines are more prominent during off-peak periods. To quantify the emission reduction benefits, localized calculation of automobile exhaust was established according to the Vehicle Specific Power (VSP) based measurements obtained from the Portable Emission Measurement System (PEMS) experiments. Then, five corresponding emission mitigation schemes were proposed based on the model findings, and the cost-benefit of each countermeasure was further analyzed. Comparing with releasing the peak-hour crowdedness of metro stations, increasing Mobike supply, updating taxis into electric vehicles, and equipping taxis with catalytic converters, the scheme of removing non-motor vehicle restrictions was found with the shortest payback period and was consequently recommended as accordance with the proposal of urban eco and non-motorized transportation. Findings of this study is useful for transportation management in improving the mode share of metro and bicycles, thus to alleviate the congestion and auto emissions in urban areas.

Suggested Citation

  • Chen, Fangxi & Yin, Zhiwei & Ye, Yingwei & Sun, Daniel(Jian), 2020. "Taxi hailing choice behavior and economic benefit analysis of emission reduction based on multi-mode travel big data," Transport Policy, Elsevier, vol. 97(C), pages 73-84.
    • Handle: RePEc:eee:trapol:v:97:y:2020:i:c:p:73-84
    DOI: 10.1016/j.tranpol.2020.04.001
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    as
    1. Shaheen, Susan & Martin, Elliot & Totte, Hannah, 2020. "Zero-emission vehicle exposure within U.S. carsharing fleets and impacts on sentiment toward electric-drive vehicles," Transport Policy, Elsevier, vol. 85(C), pages 23-32.
    2. Daniel (Jian) Sun & Shukai Chen & Chun Zhang & Suwan Shen, 2016. "A bus route evaluation model based on GIS and super-efficient data envelopment analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 407-423, June.
    3. Wai Yuen Szeto & Ryan Cheuk Pong Wong & Sze Chun Wong & Hai Yang, 2013. "A time-dependent logit-based taxi customer-search model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 17(2), pages 184-198, July.
    4. Figliozzi, Miguel & Saenz, Jesus & Faulin, Javier, 2020. "Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study," Transport Policy, Elsevier, vol. 86(C), pages 60-68.
    5. Sun, Daniel(Jian) & Ding, Xueqing, 2019. "Spatiotemporal evolution of ridesourcing markets under the new restriction policy: A case study in Shanghai," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 227-239.
    6. Cao, Xinyu Jason, 2019. "Examining the effect of the Hiawatha LRT on auto use in the Twin Cities," Transport Policy, Elsevier, vol. 81(C), pages 284-292.
    7. Cipriani, Ernesto & Mannini, Livia & Montemarani, Barbara & Nigro, Marialisa & Petrelli, Marco, 2019. "Congestion pricing policies: Design and assessment for the city of Rome, Italy," Transport Policy, Elsevier, vol. 80(C), pages 127-135.
    8. Huang, Hai-Jun & Xia, Tian & Tian, Qiong & Liu, Tian-Liang & Wang, Chenlan & Li, Daqing, 2020. "Transportation issues in developing China's urban agglomerations," Transport Policy, Elsevier, vol. 85(C), pages 1-22.
    9. Zhong, Shaopeng & Bushell, Max, 2017. "Impact of the built environment on the vehicle emission effects of road pricing policies: A simulation case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 235-249.
    10. Shaheen, Susan & Martin, Elliot & Totte, Hannah, 2020. "Zero-emission vehicle exposure within U.S. carsharing fleets and impacts on sentiment toward electric-drive vehicles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt95j7g71k, Institute of Transportation Studies, UC Berkeley.
    11. Laurino, Antonio & Beria, Paolo & Debernardi, Andrea & Ferrara, Emanuele, 2019. "Accessibility to Italian remote regions: Comparison among different transport alternatives," Transport Policy, Elsevier, vol. 83(C), pages 127-138.
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