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A Matching Model for Door-to-Door Multimodal Transit by Integrating Taxi-Sharing and Subways
ISPRS International Journal of Geo-Information ( IF 3.4 ) Pub Date : 2021-07-08 , DOI: 10.3390/ijgi10070469 Rui Wang , Feng Chen , Xiaobin Liu , Xiaobing Liu , Zhiqiang Li , Yadi Zhu
ISPRS International Journal of Geo-Information ( IF 3.4 ) Pub Date : 2021-07-08 , DOI: 10.3390/ijgi10070469 Rui Wang , Feng Chen , Xiaobin Liu , Xiaobing Liu , Zhiqiang Li , Yadi Zhu
We present a sustainable multimodal transit system that integrates taxi-sharing with subways to alleviate traffic congestion and restore the cooperative relationship between taxis and subways. This study proposes a two-phase matching model based on optimization theory, in which pick-up/drop-off sequences for participants, as well as their motivation to shift to a TSS service, were considered. For the transportation system, achieving a reduction in vehicle miles is considered to be the matching objective. We tested the matching model using empirical taxi global positioning system (GPS) data for a typical morning rush hour in Beijing. The optimization model performs well for large-scale data and the optimal solution can be calculated quickly, which is ideal in a dynamic system. Furthermore, several sensitive analysis experiments were conducted to evaluate the performance of the TSS system. We found that approximately 23.13% of taxi users can be served by TSS transit, total taxi mileage can be reduced by 20.17%, and carbon dioxide emissions may be reduced by 15.16%. The proposed model and findings demonstrate that the TSS service considered here is a feasible multimodal transit mode, with the advantages of flexibility and sustainability, and has great potential for improving social benefits.
更新日期：2021-07-08
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