Car drivers’ characteristics and the maximum walking distance between parking facility and final destination

Petrus van der waerden, Harry Timmermans, Marloes de Bruin-Verhoeven


In this paper the relationship between car drivers’ personal and trip characteristics and the maximum distance car drivers are willing to walk between a parking facility and the final destination(s) will be discussed. The willingness to walk is investigated in the context of four different trip purposes: weekly shopping, non-weekly shopping, work, and social activities. The analyses are based on responses of almost 340 members of the Eindhoven University of Technology’s University Parking Panel. The questions regarding car drivers’ willingness to walk were included in an Internet-based questionnaire that was distributed in 2011. It appears that car drivers are willing to walk short distances in the case of weekly shopping and work. Longer walking distances are accepted in the case of non-weekly shopping. The influence of car drivers’ personal and trip characteristics was investigated using multinomial regression analysis. This analysis shows that the most influential characteristics are the trip-related characteristics “frequency of car use” and “visit duration.” The parameter estimates show that in the case of weekly and non-weekly shopping, the more the car is used and the longer car drivers stay at a destination, the higher the probabilities of longer-distance categories. For the trip purposes work and leisure, the opposite holds true.


Walking distance, parking

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Benenson, I., K. Martens, and S. Birfir. 2008. ParkAgent: An agent-based model of parking in the city.Computers, Environment and Urban Systems 32(6): 431–439.

Beunen, R., C. F. Jaarsma, and H. D. Regnerus. 2006. Evaluating the effects of parking policy measures in nature areas. Journal of Transport Geography 14(5): 376–383.

Bonsall, P., and I. Palmer. 2004. Modeling drivers’ car parking behavior using data from a travel choice simulator.Transportation Research C 12(5): 321–347.

Borgers, A., A. Kemperman, L. Toll, and H. Timmermans. 2010. Measuring preferences for parking facilities in old residential areas. Proceedings of the 7th International Symposium on City Planning and Environmental Management in Asian Countries, January 9–12, Fukuoka, Japan.

CROW. 2003. Walking distances in shopping areas (in Dutch). From Parking Management to Mobility Management, Part 7. Eide, the Netherlands: Center for Research and Contract Standardization in Civil and Traffic Engineering.

Guan, H., X. Sun, X. Liu, and L. Liu. 2005. Modeling parking behavior of better control and pricing: A case study from one of the busiest retail shopping areas in Beijing, China. Compendium of Papers of the 84th Annual Meeting of the Transportation Research Board, January 9–13, Washington DC.

Kobus, M. B. W., E. Gutiérrez-i-Puigarnau, P. Rietveld, and J. N. van Ommeren. 2013. The on-street parking premium and car drivers’ choice between street and garage parking. Regional Science and Urban Economics 43(2): 395–403.

Marsden, G. 2006. The evidence base for parking policy—A review. Transport Policy 13(6): 447–457.

Shoup, D. C. 2006. Cruising for parking. Transport Policy 13(6): 479–486.

Van Ommeren, J. N., D. Wentink, and P. Rietveld. 2012. Empirical evidence on cruising for parking. Transport Research Part A 46(1): 123–130.

Van der Waerden, P. 2012. PAMELA: Parking analysis model for predicting effects in local areas. Thesis. Eindhoven, the Netherlands: Eindhoven University of Technology.

Van der Waerden, P., H. Timmermans, and H. Vermeulen. 2013. Parking in residential areas: A stated choice analyses of residents’ preference. Proceedings of the 13th World Conference on Transport Research, July 15–18, Rio de Janeiro, Brazil.

Yanjie J. D., W. Deng, W. Wang, and G. Liu. 2007. Two-phased parking choice model for pre-trip parking guidance system. Compendium of Papers of the 86th Annual Meeting of the Transportation Research Board, January 21–27, Washington DC.