Commuters’ Departure Time Decisions in Brussels, Belgium

Author:

De Palma André1,Khattak Asad J.2,Gupta Deepak3

Affiliation:

1. Departement des Sciences Economiques, Université de Cergy-Pontoise, 33, boulevard du Port, F-95011 Cergy-Pontoise, France

2. Department of City and Regional Planning, University of North Carolina, Chapel Hill, N.C. 27599-3140

3. Haas School of Business, University of California, Berkeley, Calif. 94720

Abstract

Factors that influence commuters’ departure time decisions are explored, especially the trade-off between travel time and schedule delay. Stated and reported behavior data obtained from a survey of commuters in Brussels, Belgium, were used to analyze the influence of socioeconomic and contextual variables. The key findings were as follows. Daily schedules for flextime and fixed-time commuters were quite similar, suggesting that flextime commuters do not extensively use their flexibility to avoid peak-period congestion. When commuters changed their departure times between home and work, their arrival times shifted by a similar amount. This implies that the shortening of travel time is not as critical as other reasons, such as requirements and personal convenience, in motivating departure time changes. Furthermore, 35 to 50 percent of the respondents were unwilling to change their departure times to save 10 min of travel time. Therefore, departure time changes may not be feasible in many cases for the range of travel times encountered in urban areas. Among those willing to make further trade-offs by changing departure times, the values for the early and late schedule delay–travel time trade-off were similar for both the stated and the reported preferences and were broadly consistent with those from other studies. The travel time–schedule delay trade-off values are calculated for the a.m. and p.m. commutes. Commuters who experienced longer travel times were more likely to change their departure times. When changing departure times, females and managers were less likely to depart from home later than usual, and managers were also more likely to depart earlier than usual. To analyze relationships empirically, ordinary-least-squares and tobit models of departure time are estimated. Finally, the implications are discussed.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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