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Analysis of bicycle route-related improvement strategies for two Indian cities using a stated preference survey

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  • Majumdar, Bandhan Bandhu
  • Mitra, Sudeshna

Abstract

Bicycle travel needs to be made more attractive in cities of developing countries such as India. Evaluation of bicycle route related improvement strategies becomes necessary to devise suitable policies for such upgradation. In this study, a set of key route related attributes such as Level of risk, Route visibility, Road width, Bicycle operating cost and Bicycle journey time are used to design a stated preference survey to collect relevant data from users. Based on the collected data, appropriate route choice models such as Multinomial Logit (MNL) and Random-Parameter Logit (RPL) models are formulated. Subsequently, for evaluation of improvement strategies, a set of alternative bicycle routes are generated and compared with the base route. The alternatives are evaluated in terms of shift in bicyclist's probability to choose alternatives with better infrastructure and savings in generalized cost of travel per km compared to the base scenario. To demonstrate the methodology, Kharagpur and Asansol, two small and medium-sized Indian cities with varying urban and transport characteristics are selected. Results suggest that Level of risk is perceived as the most important attribute influencing bicyclist's route choice followed by Route visibility, Bicycle journey time and Road width. Overall, alternatives with improved infrastructural characteristics are observed to be associated with significant increase in probability and substantial Generalized Cost (GC) savings compared to the base alternative for both regular and irregular bicyclists.

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  • Majumdar, Bandhan Bandhu & Mitra, Sudeshna, 2018. "Analysis of bicycle route-related improvement strategies for two Indian cities using a stated preference survey," Transport Policy, Elsevier, vol. 63(C), pages 176-188.
    • Handle: RePEc:eee:trapol:v:63:y:2018:i:c:p:176-188
    DOI: 10.1016/j.tranpol.2017.12.016
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    1. Hopkinson, P & Wardman, M, 1996. "Evaluating the demand for new cycle facilities," Transport Policy, Elsevier, vol. 3(4), pages 241-249, October.
    2. J. Hunt & J. Abraham, 2007. "Influences on bicycle use," Transportation, Springer, vol. 34(4), pages 453-470, July.
    3. Noland, Robert B & Kunreuther, Howard, 1995. "Short-run and long-run policies for increasing bicycle transportation for daily commuter trips," Transport Policy, Elsevier, vol. 2(1), pages 67-79, January.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    7. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    8. Ipek Sener & Naveen Eluru & Chandra Bhat, 2009. "An analysis of bicycle route choice preferences in Texas, US," Transportation, Springer, vol. 36(5), pages 511-539, September.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
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