A GIS-Based Bivariate Logistic Regression Model for the Site-Suitability Analysis of Parcel-Pickup Lockers: A Case Study of Guangzhou, China

datacite.relatedItem.firstPage648
datacite.relatedItem.issue10
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorZilai Zheng
dc.contributor.authorTakehiro Morimoto
dc.contributor.authorYuji Murayama
dc.date.accessioned2025-05-14T13:03:45Z
dc.date.available2025-05-14T13:03:45Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10100648
dc.identifier.otherjz000145-0643
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/22378
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA GIS-Based Bivariate Logistic Regression Model for the Site-Suitability Analysis of Parcel-Pickup Lockers: A Case Study of Guangzhou, China
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/22379
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