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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/aeog/DaiZWHCLSJ23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Alfred_Stein>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jinghan_Lei>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Peng_Jia>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Shaoqing_Dai>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Wufan_Zhao>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xiao_Huang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yanwen_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Zhidong_Chen>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.jag.2023.103539>
foaf:homepage <https://doi.org/10.1016/j.jag.2023.103539>
dc:identifier DBLP journals/aeog/DaiZWHCLSJ23 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.jag.2023.103539 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/aeog>
rdfs:label Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Alfred_Stein>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jinghan_Lei>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Peng_Jia>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Shaoqing_Dai>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Wufan_Zhao>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xiao_Huang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yanwen_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Zhidong_Chen>
swrc:month December (xsd:string)
swrc:pages 103539 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/aeog/DaiZWHCLSJ23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/aeog/DaiZWHCLSJ23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/aeog/aeog125.html#DaiZWHCLSJ23>
rdfs:seeAlso <https://doi.org/10.1016/j.jag.2023.103539>
dc:title Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 125 (xsd:string)