{"created":"2021-10-14T02:10:08.808786+00:00","id":2001602,"links":{},"metadata":{"_buckets":{"deposit":"d71822ff-60a5-451a-a4f9-75454e550b23"},"_deposit":{"created_by":14,"id":"2001602","owner":"14","owners":[14],"owners_ext":{"displayname":"大久保光枝","username":"mokubo"},"pid":{"revision_id":0,"type":"depid","value":"2001602"},"status":"published"},"_oai":{"id":"oai:tsukuba.repo.nii.ac.jp:02001602","sets":["160:6976","160:838","3:62:5591:5628"]},"author_link":["204954","115395"],"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageStart":"193","bibliographicVolumeNumber":"9","bibliographic_titles":[{"bibliographic_title":"ISPRS International Journal of Geo-Information","bibliographic_titleLang":"en"}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The use of parcel-pickup points (PPPs) is an effective approach for solving the last-mile problem. However, few studies provide specific guidance for the optimal organization of PPPs. Here, a geographic information system(GIS)-based hybrid model was developed combining the widely used analytic hierarchy process (AHP) multi-criteria analysis method with the Huff model that predicts the number of visiting customers to determine the optimal facility for collaboration and service as a PPP. Using this model, a decision-maker can select the highest-ranking facility or use the fluctuation ranking graph to determine a priority list of candidate facilities according to the appropriate PPP service distance. Our findings suggest that the optimal candidate facility should be located near high population density areas, a dense road network, and few geographic barriers. The facility should have a high attractiveness value, long business hours, and convenient access to public transportation, cover a large, high-population area, and should be a retail chain store. Based on these findings, the AHP method can improve the accuracy of obtaining the facility attractiveness value using the Huff model. Facility attractiveness has a strong effect on the resulting number of customers in the case of acceptably long distances to residential buildings.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_5_publisher_27":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_5_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/ijgi9040193","subitem_relation_type_select":"DOI"}}]},"item_5_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).","subitem_rights_language":"en"}]},"item_5_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_5_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2220-9964","subitem_source_identifier_type":"EISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Zheng, Zilai","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"森本, 健弘","creatorNameLang":"ja"},{"creatorName":"モリモト, タケヒロ","creatorNameLang":"ja-Kana"},{"creatorName":"MORIMOTO, Takehiro","creatorNameLang":"en"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"村山, 祐司","creatorNameLang":"ja"},{"creatorName":"ムラヤマ, ユウジ","creatorNameLang":"ja-Kana"},{"creatorName":"MURAYAMA, Yuji","creatorNameLang":"en"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-10-14"}],"displaytype":"detail","filename":"ISPRS-GeoInfo_9-4.pdf","filesize":[{"value":"3 MB"}],"format":"application/pdf","licensetype":"license_0","url":{"objectType":"fulltext","url":"https://tsukuba.repo.nii.ac.jp/record/2001602/files/ISPRS-GeoInfo_9-4.pdf"},"version_id":"098d7bbf-d7d0-4f0d-8e06-ebf43c471ee4"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China","subitem_title_language":"en"}]},"item_type_id":"5","owner":"14","path":["6976","838","5628"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-10-14"},"publish_date":"2021-10-14","publish_status":"0","recid":"2001602","relation_version_is_last":true,"title":["Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2022-04-27T09:07:14.577527+00:00"}