Annals of Operations Research

, Volume 236, Issue 1, pp 57–73 | Cite as

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

Article

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.

Keywords

Commuter cycling policy Farecard analytics Singapore transportation Urban mobility 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ashwani Kumar
    • 1
  • Viet Anh Nguyen
    • 2
  • Kwong Meng Teo
    • 2
  1. 1.Singapore-MIT Alliance for Research and Technology (SMART)SingaporeSingapore
  2. 2.Department of Industrial and Systems EngineeringNational University of SingaporeSingaporeSingapore

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