Longer-term changes in mode choice decisions in Chennai: a comparison between cross-sectional and dynamic models |
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Authors: | Karthik K Srinivasan P Bhargavi |
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Institution: | (1) Transportation Engineering Division, Department of Civil Engineering, Indian Institute of Technology, Madras, Chennai, India |
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Abstract: | The rapid and continuing changes in travel and mobility needs in India over the last decade necessitates the development and
use of dynamic models for travel demand forecasting rather than cross-sectional models. In this context, this paper investigates
mode choice dynamics among workers in Chennai city, India over a period of five years (1999–2004). Dynamics in mode choice
is captured at four levels: exogenous variable change, state-dependence, changes in users’ sensitivity to attributes, and
unobserved error terms. The results show that the dynamic models provide a substantial improvement (of over 500 log-likelihood
points and ρ2 increases from 44% to 68%) over the cross-sectional model. The performance was compared using two illustrative policy scenarios
with important methodological and practical implications. The results indicate that cross-sectional models tend to provide
inflated estimates of potential improvement measures. Improving the Level of Service (LOS) alone will not produce the anticipated
benefits to transit agencies, as it fails to overcome the persistent inertia captured in the state-dependence factors. The
results and models have important applications in the context of growing motorization and congestion management in developing
countries.
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Keywords: | Dynamics Mode choice Mixed logit Retrospective study Reverse State dependence |
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