Study on the Planning of Shared Bicycle Parking Spots Based on Public Participation

DOI

10.2991/978-94-6463-542-3_23How to use a DOI?

Keywords

Shared Bicycle; Parking Layout Planning; Public Participation; Analytical Hierarchy Process (AHP)

Abstract

The problem of indiscriminate parking of shared bicycles in major cities in China is becoming increasingly serious and needs to be solved urgently. This paper is based on public participation, through the social platform to issue a research questionnaire on the planning and layout of parking points, using the hierarchy analysis method (Analytic Hierarchy Process, AHP) for weighting analysis, the results show that the proximity to transportation hubs and districts of the distance, better visibility, away from the barrier-free access, such as the indexes of the weight is higher, and to provide references for the level of the parking point urban design, as a way to optimize the layout of parking spots. Finally, research on planning and programming and electronic fence management is carried out to provide solutions for the management of indiscriminate parking.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Kunze Sha
AU  - Wei Chen
PY  - 2024
DA  - 2024/10/15
TI  - Study on the Planning of Shared Bicycle Parking Spots Based on Public Participation
BT  - Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024)
PB  - Atlantis Press
SP  - 164
EP  - 175
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-542-3_23
DO  - 10.2991/978-94-6463-542-3_23
ID  - Sha2024
ER  -