Analysis of spatiotemporal changes in bicycle rental demand: Taking New York as an example

Authors

  • Guanbo Wang

DOI:

https://doi.org/10.54097/dnb6q122

Keywords:

Rental, Shared bike, Moving average time model, Kernel density method, Decision tree regression model

Abstract

 In order to optimize the rental patterns of public bicycles and the allocation plan, the temporal and spatial movement laws of public bicycles should be obtained. Propose a distribution model and time trend model for public bicycles at different time points and rental locations. Take New York city as an example, based on the public bicycle travel data in New York City, a reference plan for the allocation of rental points was proposed using the moving average time model, kernel density method, and decision tree regression model.

References

[1] Genikomsakis K N , Galatoulas N F , Ioakimidis C S .Towards the development of a hotel-based e-bike rental service: Results from a stated preference survey and techno-economic analysis[J].Energy, 2021, 215(1):119052.

DOI:10.1016/j.energy.2020.119052.

[2] Lenfers U A , Ahmady-Moghaddam N , Glake D ,et al.Improving Model Predictions—Integration of Real-Time Sensor Data into a Running Simulation of an Agent-Based Model[J].Sustainability, 2021, 13.

DOI:10.3390/su13137000.

[3] B X M A , B Y Y , B N V O ,et al.Bike-sharing systems' impact on modal shift: A case study in Delft, the Netherlands - ScienceDirect[J].Journal of Cleaner Production, 259[2024-01-29].

DOI:10.1016/j.jclepro.2020.120846.

[4] Glass C , Appiah-Opoku S , Weber J ,et al.Role of Bikeshare Programs in Transit-Oriented Development: Case of Birmingham, Alabama[J].Journal of urban planning and development, 2020(2).

DOI:10.1061/(asce)up.1943-5444.0000567.

[5] Wenhuan N .The Research of Development Countermeasure on Urban Public Bike System[J].Weifang Higher Vocational Education, 2017.

[6] Kim,Kyoungok.Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations[J].Journal of transport geography, 2018.

[7] Deepak K. Meteorological barriers to bike rental demands: A case of Washington D.C. using NCA approach [J]. Case Studies on Transport Policy, 2021, 9 (2): 830-841.

Downloads

Published

26-12-2024

Issue

Section

Articles

How to Cite

Wang, G. (2024). Analysis of spatiotemporal changes in bicycle rental demand: Taking New York as an example. Journal of Computing and Electronic Information Management, 15(3), 42-45. https://doi.org/10.54097/dnb6q122