Modeling joint eating-out destination choices incorporating group-level impedance: A case study of the Greater Tokyo Area

Chenglin Han, Lichen Luo, Giancarlos Parady, Kiyoshi Takami, Makoto Chikaraishi and Noboru Harata

Journal of Transport Geography, 2023, vol. 111, issue C

Abstract: Individuals undertake both solo and joint activities as part of their overall activity-travel patterns. Compared to work and maintenance activities, social and leisure activities differ in that they exhibit high levels of temporal and spatial flexibility. In this study we used data from an ego-centric social networks survey in the Greater Tokyo Area and a follow-up group activity survey to estimate a joint eating-out destination choice model explicitly incorporating group-level impedance. We tested four different measures of group-level travel time (maximum travel time, minimum travel time, group average travel time and group median travel time) and evaluated their performance against a model using only ego travel time. Estimation results show that models incorporating centrality measures of group impedance generally outperform ego-only models, with the best performing travel time measure being group average travel time. The best performing model increased model performance against the ego-model up to 32.2% in terms of fitting factor, a substantial increase that underscores the need to incorporate group-level characteristics in travel behavior models.

Keywords: Joint activities; Leisure; Travel behavior; Group-level impedance; Destination choice model; Social networks (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:111:y:2023:i:c:s0966692323001448

DOI: 10.1016/j.jtrangeo.2023.103672

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