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The relationship between commodity types, spatial characteristics, and distance optimality of logistics facilities
https://oacis.repo.nii.ac.jp/records/2201
https://oacis.repo.nii.ac.jp/records/220161491978-dfbd-4f97-88a1-a1a7bbaa525f
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-09-17 | |||||
タイトル | ||||||
タイトル | The relationship between commodity types, spatial characteristics, and distance optimality of logistics facilities | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | urban freight distribution, land use, city logistics, logistics sprawl | |||||
資源タイプ | ||||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
著者 |
Sakai, Takanori
× Sakai, Takanori× Kawamura, Kazuya× 兵藤, 哲朗 |
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書誌情報 |
en : Journal of Transport and Land Use 巻 11, 号 1, p. 575-591, 発行日 2018 |
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抄録 | ||||||
内容記述 | We analyze the relationship between the location of logistics facilities and the goods vehicle travel distances for the shipments associated with the facilities, using data from a large urban freight survey conducted in the Tokyo Metropolitan Area in 2013. Our analysis categorizes the logistics facilities into groups based on the type of commodity they handle. The analysis sheds light on the complex relationship between the location and “distance optimality gap,” defined as the gap between the minimum travel distance possible and the actual distance traveled by goods vehicles. The results indicate that, while the lack of available space for logistics land use near the urban center leads to significant distance optimality gaps for some logistics facility groups, such as those handling daily goods, these same locations may not be advantageous for others. Also, the logistics facilities in the exurbs are likely to have large distance optimality gaps because these locations are often far away from the origins and destinations of their shipments. In terms of land-use policy, the study reveals that simply concentrating logistics facilities near the urban core or suburbs may not reduce truck traffic. Detailed data on logistics facilities and shipments are crucial for formulating effective approaches to improve the distance optimality of logistics land use. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 19387849 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.5198/jtlu.2018.1363 | |||||
権利 | ||||||
権利情報 | This is an open access article under Creative Commons Attribution-Noncommercial License 4.0(https://creativecommons.org/licenses/by-nc/4.0/). | |||||
情報源 | ||||||
関連識別子 | https://doi.org/10.5198/jtlu.2018.1363 | |||||
関連名称 | Publisher's Version/PDF(Open Access) | |||||
出版者 | ||||||
出版者 | University of Minnesota, Center for Transportation Studies |