@inproceedings{e91fa809a86e4cab948fd8076ae7334f,
title = "Pedestrian activity model based on implicit path enumaration",
abstract = "Pedestrian route choice behavior has difficulties for modeling; 1) a path enumeration problem because of the route variety, 2) pre-trip decision mechanism and trip-based model are not suitable since there is high continuity of walking and staying behavior in pedestrian contexts. In this paper, we propose a pedestrian activity model without path enumeration. We formulate an activity path choice model based on implicit approach to describe activity correlation as one type of network-GEV based model. The model allows us to compute the activity assignment with cyclic, multi-trip and time attributes. The assignment results show that time-space discount rate of expected utility and the prism constraint are important parameters that have an influence on pedestrian decision-making.",
keywords = "Activity model, Dynamic discrete choice model, Pedestrian, Route choice model, Traffic assignment",
author = "Yuki Oyama and Eiji Hato",
year = "2018",
language = "English",
series = "Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation",
publisher = "Hong Kong Society for Transportation Studies Limited",
pages = "331--338",
editor = "Wong, {Allan Wing Gun} and Wong, {Simon Ho Fai} and Leung, {Gordon Lai Ming}",
booktitle = "Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation",
note = "21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016 ; Conference date: 10-12-2016 Through 12-12-2016",
}