@conference{gis_kasahara2022,
title = {擬似人流データにおける時刻表を考慮した自治体全域の交通手段の推計 ー静岡県裾野市を対象にー},
author = {笠原有貴 and 龐岩博 and 樫山武浩 and 関本義秀 and 瀬崎薫},
url = {https://www.gisa-japan.org/conferences/},
year = {2022},
date = {2022-10-29},
urldate = {2022-10-29},
booktitle = {地理情報システム学会 第31回学術研究発表大会（沖縄）},
abstract = {In recent years, it has become important to understand people flow in various fields such as infectious disease control, and there are various types of means of understanding people flow, such as GPS data and person-trip survey data. However, these data are difficult to share due to privacy protection issues. Based on this, Kashiyama et al. have developed simulations using statistical data to create pseudo-people flow data, which can be shared. Although this data is highly accurate, it does not take into account timetables in terms of people's traffic behavior, which would improve the accuracy by reproducing traffic behavior according to timetables. In this study, we evaluated the accuracy of the pseudo-people flow data created by Kashiyama et al. for Susono City, Shizuoka Prefecture, by estimating the transportation modes with timetables taken into account.},
keywords = {GTFS, 交通手段選択, 人流データ},
pubstate = {published},
tppubtype = {conference}
}