Study on location-selection of shared bicycle parking sites based on multi-objective programming

Yuan Chen; Hang Hu

doi:10.1117/12.3015916

20 February 2024 Study on location-selection of shared bicycle parking sites based on multi-objective programming

Yuan Chen, Hang Hu

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130641F (2024) https://doi.org/10.1117/12.3015916
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

With the rapid development of shared bicycles in recent years, it not only facilitates urban residents, but also brings several problems to urban traffic, mainly in disorderly parking. In order to solve the disorderly parking of shared bicycles, this paper takes the Yangguang Campus of Wuhan Textile University for example and considers the trip demand of teachers and students. We choose the cosine distribution time satisfactory function as the service quality level function to quantify the quality of service, which can reflect the distance between demanding points and parking sites to users’ satisfaction. Then we establish a multi- objective integer planning location-selection model based on gradual coverage method, which aims at maximizing service quality and minimizing the number of parking sites. We use LINGO to calculate the model with actual survey data. The results show that the solution of the location-selection model is close to the reality and of certain practical significance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuan Chen and Hang Hu "Study on location-selection of shared bicycle parking sites based on multi-objective programming", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130641F (20 February 2024); https://doi.org/10.1117/12.3015916

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