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

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 analysisisusedtosuggestpolicieslikecyclingtownstopromotefirst-milecyclingandcycling 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

• Type: Journal
• Year: 2016
• Where: ANOR
• Authors: Ashwani Kumar, Viet Anh Nguyen, Kwong Meng Teo
• Keywords: ANOR 2016, Computer Networks