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Article: Evaluation of TOD performances using multi-source big-data: the case studies in Hong Kong

TitleEvaluation of TOD performances using multi-source big-data: the case studies in Hong Kong
大数据背景下轨道交通站点区域 TOD 效能评价研究--以香港为例
Authors
KeywordsRail transit station area
TOD performance
Hong Kong
Hyper dense
Issue Date2020
Publisher建筑技艺编辑部.
Citation
Architecture Technique, 2020, v. 26 n. 9, p. 85-89 How to Cite?
建筑技艺, 2020, v. 26 n. 9, p. 85-89 How to Cite?
AbstractUsing “Transit’, “Oriented” and “Development” dimensions of TOD, this paper measured the TOD performance of 95 MTR stations in hyper dense city of Hong Kong. Using a multi-source big data approach, 15 dimensions were selected and measured to quantify the degree of TOD performance. A hierarchical clustering classification method was used to classify the TOD areas into five TOD types which can inform urban planners, designers and policy makers decision making with comprehensive evaluation.
Sponsorship香港特别行政区政府“推动行人友善发展的智慧政策研究”(SPPR S2017.A7.004.17S)
香港大学知识交流计划2019(0021000250957400130024801)
高密度人居环境生态与节能教育部重点实验室开放课题(2020010205)
Persistent Identifierhttp://hdl.handle.net/10722/305131

 

DC FieldValueLanguage
dc.contributor.authorZhang, L-
dc.contributor.authorChiaradia, AJF-
dc.date.accessioned2021-10-05T02:40:10Z-
dc.date.available2021-10-05T02:40:10Z-
dc.date.issued2020-
dc.identifier.citationArchitecture Technique, 2020, v. 26 n. 9, p. 85-89-
dc.identifier.citation建筑技艺, 2020, v. 26 n. 9, p. 85-89-
dc.identifier.urihttp://hdl.handle.net/10722/305131-
dc.description.abstractUsing “Transit’, “Oriented” and “Development” dimensions of TOD, this paper measured the TOD performance of 95 MTR stations in hyper dense city of Hong Kong. Using a multi-source big data approach, 15 dimensions were selected and measured to quantify the degree of TOD performance. A hierarchical clustering classification method was used to classify the TOD areas into five TOD types which can inform urban planners, designers and policy makers decision making with comprehensive evaluation.-
dc.description.sponsorship香港特别行政区政府“推动行人友善发展的智慧政策研究”(SPPR S2017.A7.004.17S)-
dc.description.sponsorship香港大学知识交流计划2019(0021000250957400130024801)-
dc.description.sponsorship高密度人居环境生态与节能教育部重点实验室开放课题(2020010205)-
dc.languagechi-
dc.publisher建筑技艺编辑部.-
dc.relation.ispartofArchitecture Technique-
dc.relation.ispartof建筑技艺-
dc.subjectRail transit station area-
dc.subjectTOD performance-
dc.subjectHong Kong-
dc.subjectHyper dense-
dc.titleEvaluation of TOD performances using multi-source big-data: the case studies in Hong Kong-
dc.title大数据背景下轨道交通站点区域 TOD 效能评价研究--以香港为例-
dc.typeArticle-
dc.identifier.emailChiaradia, AJF: alainjfc@hku.hk-
dc.identifier.authorityChiaradia, AJF=rp02166-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.hkuros325761-
dc.identifier.volume26-
dc.identifier.issue9-
dc.identifier.spage85-
dc.identifier.epage89-
dc.publisher.placeChina-

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