Commuter cycling policy in Singapore: a farecard data analytics based approach

Ashwani Kumar (), Viet Nguyen () and Kwong Teo ()

Annals of Operations Research, 2016, vol. 236, issue 1, 57-73

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. Copyright Springer Science+Business Media New York 2016

Keywords: Commuter cycling policy; Farecard analytics; Singapore transportation; Urban mobility (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10479-014-1585-7

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