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Joint analysis of urban shopping destination and travel mode choice accounting for potential spatial correlation between alternatives

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Abstract

In recent years, there have been important developments in the joint analysis of the travel behavior based on discrete choice models as well as in the formulation of increasingly flexible closed-form models belonging to the generalized extreme value class. The objective of this work is to describe the simultaneous choice of shopping destination and travel-to-shop mode in downtown area by making use of the cross-nested logit (CNL) structure that allows for potential spatial correlation. The analysis uses data collected in the downtown areas of Maryland-Washington, D.C. region for shopping trips, considering household, individual, land use, and travel-related characteristics. The estimation results show that the dissimilarity parameter in the CNL model is 0.37 and significant at the 95% level, indicating that the alternatives have high spatial correlation for the short shopping distance. The results of analysis reveal detailed significant influences on travel behavior of joint choice shopping destination and travel mode. Moreover, a Monte Carlo simulation for a group of scenarios arising from transportation policies and parking fees in downtown area, was undertaken to examine the impact of a change in car travel cost on the shopping destination and travel mode switching. These findings have important implications for transportation demand management and urban planning.

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Authors and Affiliations

  1. Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518055, China

    Yao-yu Lin  (林姚宇), Chuan Ding  (丁川) & Yao-wu Wang  (王耀武)

  2. School of Architecture, Harbin Institute of Technology, Harbin, 150006, China

    Chuan Ding  (丁川)

  3. National Center for Smart Growth Research and Education, University of Maryland, College Park, 20742, USA

    Chao Liu  (刘超) & Yu-chen Cui  (崔愉晨)

  4. Department of Civil Engineering, University of Memphis, Memphis, 38152, UK

    Sabyasachee Mishra

Authors
  1. Yao-yu Lin  (林姚宇)
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  2. Chuan Ding  (丁川)
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  3. Yao-wu Wang  (王耀武)
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  4. Chao Liu  (刘超)
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  5. Yu-chen Cui  (崔愉晨)
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  6. Sabyasachee Mishra
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Corresponding author

Correspondence to Chuan Ding  (丁川).

Additional information

Foundation item: Projects(JCYJ20120615145601342, JCYJ20130325151523015) supported by Shenzhen Science and Technology Development Funding-Fundamental Research Plan, China; Project(2013U-6) supported by Key Laboratory of Eco Planning & Green Building, Ministry of Education (Tsinghua University), China

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Lin, Yy., Ding, C., Wang, Yw. et al. Joint analysis of urban shopping destination and travel mode choice accounting for potential spatial correlation between alternatives. J. Cent. South Univ. 21, 3378–3385 (2014). https://doi.org/10.1007/s11771-014-2312-x

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  • DOI: https://doi.org/10.1007/s11771-014-2312-x

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