Citation

Hafezi MH, Daisy NS, Liu L, Millward H. Transp. Plann. Tech. 2018; 41(5): 536-556.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/03081060.2018.1469286

PMID

unavailable

Abstract

This paper examines the activity engagement, sequencing and timing of activities for student, faculty and staff commuter groups at the largest university in the Maritime Provinces of Canada. The daily activity patterns of all university community groups are modeled using the classification and regression tree classifier algorithm. The data used for this study are derived from the Environmentally Aware Travel Diary Survey (EnACT) conducted in spring 2016 at Dalhousie University, Nova Scotia.

RESULTS show that there are significant differences in activity and travel behavior between university population segments and the general population in the region, and between campus groups. For example, students participate in more recreation activities compared to faculty and staff. They also take more trips to and from campus, and are more flexible in their scheduling of trips. The insights gained from this study will provide helpful information for promoting sustainability across university campuses, and for development of campus-based travel demand management strategies.

Language: en

Keywords

activity behavior; travel demand; travel modeling; trip modes; University travel