文献
J-GLOBAL ID:202202261690854411
整理番号:22A0578262
COVID-19パンデミック下の旅行決定における潜在的要因と公共政策の役割:ハイブリッド選択モデルの発見【JST・京大機械翻訳】
Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model
著者 (5件):
Chen Chao
(State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian 116024, PR China)
,
Feng Tao
(Urban and Data Science, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima 739-8511, Japan)
,
Feng Tao
(Urban Planning and Transportation, Department of the Built Environment, Eindhoven University of Technology, Eindhoven 5600MB, the Netherland)
,
Gu Xiaoning
(State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian 116024, PR China)
,
Gu Xiaoning
(Urban Planning and Transportation, Department of the Built Environment, Eindhoven University of Technology, Eindhoven 5600MB, the Netherland)
資料名:
Sustainable Cities and Society
(Sustainable Cities and Society)
巻:
78
ページ:
Null
発行年:
2022年
JST資料番号:
W2908A
ISSN:
2210-6707
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)