Integrating green space measures into future town planning: A case study of Zhejiang

DOI

Research project relating measuring urban intensity regarding urban forms and performance in China. The study selected eleven towns in the northern part and coastal areas of Zhejiang Province in China, including Guali, Tangqi, Fenshui, Shipu, Zhouxiang, Simen, Longgang, Xinshi, Chongfu, Wangjiangjing,and Zeguo. The data published in this study were collected from multiple sources in 2018, including Google Maps, Open Street Map (OSM), Google Earth satellite images, the regulatory detailed planning (RDP) documents, remote sensing images, and official documents from the local government. The geographical information system incorporated various features such as buildings, transit infrastructure, and natural elements like rivers, lakes, seas, coasts, mountain valleys, grassland, and hills. The data were obtained at a resolution of 15 meters. The Open Street Map (OSM) served as a valuable source of shared vector data for roads and other built environment features in the selected towns, which were subsequently analyzed using ArcMap. The normalized difference vegetation index (NDVI) were calculated through the remote sensing images in 2018. The GDP information was collected from the Zhejiang Province yearbook in 2018.

Identifier
DOI https://doi.org/10.5522/04/25411978.v1
Related Identifier https://ndownloader.figshare.com/files/45044500
Related Identifier https://ndownloader.figshare.com/files/45044503
Related Identifier https://ndownloader.figshare.com/files/45044506
Related Identifier https://ndownloader.figshare.com/files/45044509
Related Identifier https://ndownloader.figshare.com/files/45044533
Related Identifier https://ndownloader.figshare.com/files/45044719
Related Identifier https://ndownloader.figshare.com/files/45048376
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/25411978
Provenance
Creator Wang, Yuanzhao; Guan, ChengHe
Publisher University College London UCL
Contributor Figshare
Publication Year 2024
Rights https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Other