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Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data

Author

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  • Katrien Ramaekers
  • Sofie Reumers
  • Geert Wets
  • Mario Cools

Abstract

The aim of this research is to identify the relationship between activity patterns and route choice decisions. The focus is twofold: on the one hand, the relationship between the purpose of a trip and the road categories used for the relocation is investigated; on the other hand, the relationship between the purpose of a trip and the deviation from the shortest path is studied. The data for this study were collected in 2006 and 2007 in Flanders, the Dutch speaking and northern part of Belgium. To estimate the relationship between the primary road category travelled on and the corresponding activity-travel behaviour a multinomial logit model is developed. To estimate the relationship between the deviation from the shortest path and the corresponding activity-travel behaviour a Tobit model is developed. The results of the first model point out that route choice is a function of multiple factors, not just travel time or distance. Crucial for modelling route choices or in general for traffic assignment procedures is the conclusion that activity patterns have a clear influence on the road category primarily driven on. Particularly, it was shown that the likelihood of taking primarily through roads is highest for work trips and lowest for leisure trips. The second model shows a significant relationship between the deviation from the shortest path and the purpose of the trip. Furthermore, next to trip-related attributes (trip distance), also socio-demographic variables and geographical differences play an important role. These results certainly suggest that traffic assignment procedures should be developed that explicitly take into account an activity-based segmentation. In addition, it was shown that route choices were similar during peak and off-peak periods. This is an indication that car drivers are not necessarily utility maximizers, or that classical utility functions in the context of route choices are omitting important explanatory variables. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Katrien Ramaekers & Sofie Reumers & Geert Wets & Mario Cools, 2013. "Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data," Networks and Spatial Economics, Springer, vol. 13(3), pages 351-372, September.
    • Handle: RePEc:kap:netspa:v:13:y:2013:i:3:p:351-372
    DOI: 10.1007/s11067-013-9184-8
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    References listed on IDEAS

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    Cited by:

    1. Zhiyuan Liu & Wen Yi & Shuaian Wang & Jun Chen, 2017. "On the Uniqueness of User Equilibrium Flow with Speed Limit," Networks and Spatial Economics, Springer, vol. 17(3), pages 763-775, September.
    2. Antonio Comi & Antonio Polimeni, 2022. "Estimating Path Choice Models through Floating Car Data," Forecasting, MDPI, vol. 4(2), pages 1-13, June.
    3. Dalumpines, Ron & Scott, Darren M., 2017. "Determinants of route choice behavior: A comparison of shop versus work trips using the Potential Path Area - Gateway (PPAG) algorithm and Path-Size Logit," Journal of Transport Geography, Elsevier, vol. 59(C), pages 59-68.
    4. F. Crawford & D. P. Watling & R. D. Connors, 2023. "Analysing Spatial Intrapersonal Variability of Road Users Using Point-to-Point Sensor Data," Networks and Spatial Economics, Springer, vol. 23(2), pages 373-406, June.
    5. Thomas, Tom & Tutert, Bas, 2015. "Route choice behavior in a radial structured urban network: Do people choose the orbital or the route through the city center?," Journal of Transport Geography, Elsevier, vol. 48(C), pages 85-95.

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