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One of the important decisions for travellers about each trip is the time that they depart from their point of origin. The aggregation of the departure times of all travellers forms the pattern of a temporal distribution of trips in a day and also peak periods of a day. In this paper, we applied the multinomial logit (MNL) on a choice set which was derived from cluster analysis, and we also made use of the duration models to estimate departure time for home-based work trips. For the durationdoi:10.17559/tv-20180115064630 fatcat:5fdypgxdfndureszf4z6qaaqtu