Commuter cycling policy in Singapore: a farecard data analytics based approach
Author(s)
Nguyen, Viet Anh
Teo, Kwong Meng
Kumar, Ashwani
Date Issued
April 2014
Journal
Annals of Operations Research
Publisher
Springer US
Citation
Kumar, Ashwani, Viet Anh Nguyen, and Kwong Meng Teo. “Commuter Cycling Policy in Singapore: a Farecard Data Analytics Based Approach.” Ann Oper Res 236, no. 1 (April 21, 2014): 57–73.
Version
Author's final manuscript
Abstract
Peak-hour week-day traffic congestion is a common challenge in urban mobility. Promotion of commuter cycling can help in alleviating this problem in many cities. This paper takes a data analytics approach to propose policies for promoting commuter cycling in Singapore. It uses farecard data to assess the commuter cycling potential and develops a data-driven approach to policy making. A spatio-temporal analysis of farecard data helps in finding patterns in the potential demand for first-mile as well as end-to-end cycling. This analysis is used to suggest policies like cycling towns to promote first-mile cycling and cycling regions to enable end-to-end cycling by linking together the cycling towns. Furthermore, an optimization model is developed to make efficient choice of cycling towns and links for a given budget so as to maximize the potential number of commuter cyclists.
MIT Department
Singapore-MIT Alliance in Research and Technology (SMART)
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s10479-014-1585-7
