Abstract
In order to solve the problem of supply-demand balance of shared bicycles at rail transit stations connected to passenger flow occurrence points, this paper proposes a precise allocation method of shared bicycles based on the spatial characteristics and selection behaviors of passenger flow connected to rail stations from three levels: the spatial distribution of connected passenger flow, the distribution of connected modes and the distribution of regional working and living populations. Based on the spatial distribution model of rail station feeder traffic based on distance decay and the MNL(Multi-Nominal Logit) model of multi-mode feeder selection based on semi-compensation strategy, the spatial distribution of the working and living populations within the influence area of the station is combined to calculate the number of shared bicycles to be placed at each location around the station for feeder rail stations, so as to realize the scientific allocation of spatial distribution and selection behavior for feeder demand. ZhongGuancun Station is used as an example for the analysis.
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Acknowledgments
Resrach supported by the range of attraction and spatial gradient pattern of rail transit stations project of China (No.I19L00380).
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Shang, C., Jiang, X., Li, H. (2022). Rail Transit Bikes Refinement Research Based on Passenger Spatial Characteristic and Choice Behavior. In: Liang, J., Jia, L., Qin, Y., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021. EITRT 2021. Lecture Notes in Electrical Engineering, vol 867. Springer, Singapore. https://doi.org/10.1007/978-981-16-9909-2_15
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DOI: https://doi.org/10.1007/978-981-16-9909-2_15
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