Chapter
Dec 9, 2020
Research on the App-Based Ride-Hailing Reasonability of Driver and Vehicle Classification
Authors: Zihe Lin [email protected], Chenjing Zhou [email protected], Lianlian Liu [email protected], and Gonghao Sun [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
Compared with taxis, app-based ride-hailing can greatly improve service efficiency and expand operational scale rapidly; but safety is always a big issue for governments and enterprise platforms. Many uncertified drivers and vehicles are operating under the ambiguity of the qualitative classification within app-based ride-hailing platforms, which do not supervise the drivers and vehicles completely. This paper expounds on the necessity of classification management of app-based ride-hailing from the indicators of vehicle insurance to vehicle scrap years. It also proposes a classified management that divides the app-based ride-hailing into part-time and full-time vehicles, using differentiated management measures about vehicle entry standard and insurance. Furthermore, based on Beijing taxi data, the paper analyzes, and predicts app-based ride-hailing operations from three indicators: orders, carrying miles, and working time. The purpose aims to supervise the vehicle compliance process through classified management; thereby, promoting the healthy development of the app-based ride-hailing industry.
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© 2020 American Society of Civil Engineers.
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Published online: Dec 9, 2020
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1Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
2Beijing Univ. of Civil Engineering and Architecture, Beijing, China. Email: [email protected]
3Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
4Beijing Engineering Research Center of Urban Transport Operation Guarantee Beijing Univ. of Technology, Beijing, China. Email: [email protected]
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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.