Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach

Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach

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Article ID: iaor20124999
Volume: 46
Issue: 9
Start Page Number: 1465
End Page Number: 1476
Publication Date: Nov 2012
Journal: Transportation Research Part A
Authors: ,
Keywords: consumer choice, India, modelling, travel mode choice
Abstract:

The paper presents valuing of qualitative and quantitative travel attributes influencing the attractiveness of suburban train service in Mumbai city, India. A stated preference experiment is designed to capture the data of sub‐urban train mode choice behavior. The behavioral data are analyzed using different modeling techniques such as multinomial logit (MNL) and mixed logit (ML). In ML model, the random parameters are assumed to follow constrained triangular distribution, where mean equals its spread. The decomposition of preference heterogeneity around the mean estimate of random parameter is also investigated using ML model. The study shows the influence of headway time and train ride time associated with a particular crowding level (expressed in density of standing passengers/m2) in choosing the sub‐urban train mode by calculating their willingness‐to‐pay (WTP) values and highlights the importance of WTP for addressing policy issues in the reduction of in‐vehicle crowding level. The present study documents new findings of the effect of crowding level on train ride time in the context of a developing country and suggests some important directions for future suburban train transport crowding valuation research.

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