Social networks and joint/solo activity–travel behavior |
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| Institution: | 1. TRANSyT Transport Research Centre, Universidad Politécnica de Madrid, Spain;2. Department of Civil Engineering: Transport, Universidad Politécnica de Madrid, Spain;3. DTU Transport, Technical University of Denmark, Denmark;4. Department of Transport Engineering and Logistics, Centre for Urban Sustainable Development (CEDEUS), Pontificia Universidad Católica de Chile, Chile;1. School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, China;2. Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong;3. Faculty Research Associate, National Center for Smart Growth Research, University of Maryland, MD 20742, United States;4. School of Naval Architecture Ocean and Civil Engineering, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;5. School of Urban Planning and Design, Peking University, Shenzhen 518055, China;1. Here Global B.V., 425 W Randolph St, Chicago, IL 60606, United States;2. Department of Civil, Structural and Environmental Engineering, Department of Industrial and Systems Engineering, The State University of New York, Buffalo, NY 14260, United States;3. Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA 22030, United States;1. University of Maryland, Department of Civil and Environmental Engineering, 1173 Glenn Martin Hall, College Park, MD 20742, United States;2. Centrum Wiskunde & Informatica and Universiteit van Amsterdam, Faculty of Economics and Business, Amsterdam School of Economics, Section Mathematical Economics and Mathematics, P.O. Box 16697, 1001 RD Amsterdam, Netherlands |
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| Abstract: | The social dimension of activity–travel behavior has recently received much research attention. This paper aims to make a contribution to this growing literature by investigating individuals’ engagements in joint activities and activity companion choices. Using activity–travel diary data collected in Hong Kong in 2010, this study examines the impact of social network attributes on the decisions between solo and joint activities, and for joint activities, the choices of companions. Chi-square difference tests are used to assess the importance of social network variables in explaining joint activity behavior. We find that the inclusion of social network attributes significantly improves the goodness-of-fit of the model with only socioeconomic variables. Specifically, individuals receiving emotional support and social companionship from family members/relatives are found to more likely undertake joint activities with their family members/relatives; the size of personal social networks is found to be a significant determinant of companion choices for joint activities; and activity companions are found to be significant determinants of travel companions. The findings of this study improve the understanding about activity–travel, especially joint activity–travel decisions. |
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| Keywords: | Joint/solo activities Social networks Activity companions Hong Kong |
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