Prediction of Commuter’s Daily Time Allocation

  • Fang Zong Jilin University
  • Jia Hongfei Jilin University
  • Pan Xiang Zhejiang University of Technology
  • Wu Yang Jilin University
Keywords: time allocation, commuting, activity, travel, Support Vector Regression,


This paper presents a model system to predict the time allocation in commuters’ daily activity-travel pattern. The departure time and the arrival time are estimated with Ordered Probit model and Support Vector Regression is introduced for travel time and activity duration prediction. Applied in a real-world time allocation prediction experiment, the model system shows a satisfactory level of prediction accuracy. This study provides useful insights into commuters’ activity-travel time allocation decision by identifying the important influences, and the results are readily applied to a wide range of transportation practice, such as travel information system, by providing reliable forecast for variations in travel demand over time. By introducing the Support Vector Regression, it also makes a methodological contribution in enhancing prediction accuracy of travel time and activity duration prediction.

Author Biographies

Fang Zong, Jilin University
College of Transportation
Jia Hongfei, Jilin University
College of Transportation
Wu Yang, Jilin University
College of Transportation


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How to Cite
Zong F, Hongfei J, Xiang P, Yang W. Prediction of Commuter’s Daily Time Allocation. PROMET [Internet]. 2013Oct.27 [cited 2019Dec.16];25(5):445-5. Available from:

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