Temporal-spatial characteristics analysis of e-hailing and taxi based on multi-source data

Yanran Hu

doi:10.1117/12.2620042

22 December 2021 Temporal-spatial characteristics analysis of e-hailing and taxi based on multi-source data

Yanran Hu

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120585T (2021) https://doi.org/10.1117/12.2620042
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

Nowadays, the rapid development of online car-hailing has had a great impact on the taxi industry, and the management and decision-making of relevant departments are also facing new challenges. Based on the taxi and online car-hailing order data in Xiamen City in 2020, this paper compares and analyses the similarities and differences in carrying time, carrying mileages mileage, and time distribution characteristics between online car-hailing and taxis, and uses the theory of information entropy to balance The overall characteristics of the spatial distribution of online car-hailing and taxi pick-up points in Xiamen are compared with the degree of concentration and the degree of aggregation. The results show that the operating hours of online car-hailing are more flexible, and the intensity of taxi operations is relatively high; the two hot areas have a high duplication rate, but the taxi service area is mainly concentrated in Xiamen Island, and the coverage of online car-hailing is wider. This article can provide effective data support for online car-hailing supervision and the reform of the taxi industry.

Citation Download Citation

Yanran Hu "Temporal-spatial characteristics analysis of e-hailing and taxi based on multi-source data", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120585T (22 December 2021); https://doi.org/10.1117/12.2620042

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