Dataset of Assessment Units for 19 Urban Built Environment of China Based on Multi-Source Data
ZHANG Shujie1LI Meng*1DAN Boyang1HAN Jingbei1HAO Lingqiang1
1 China Academy Of Urban Planning & Design，Beijing 100044，China
DOI:10.3974/geodb.2025.03.09.V1
Published:Mar. 2025
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Key Words：
built-up areas,core built-up zones,multi-source data,urban built environment,
Abstract：
Urban built-up areas and core built-up zones serve as fundamental units for the assessment of the urban built environment, with their sizes directly influencing the levels of built environment indicators. The authors leverage the advantages of multi-source big data to develop a unified demarcation method and technical workflow, resulting in the creation of datasets for the built-up areas and core built-up zones of 19 cities, including Beijing, Shanghai, Guangzhou, Shenzhen, Tianjin, Chongqing, Jinan, Qingdao, Nanjing, Hangzhou, Zhengzhou, Wuhan, Changsha, Chengdu, Kunming, Xi'an, Harbin, Shenyang and Dalian (2022). For the demarcation of built-up areas, a comprehensive consideration of the proportion of impervious surfaces, road network density, point-of-interest (POI) density, and population density was undertaken, along with reference to high-resolution remote sensing imagery. This approach led to the formulation of an index system and method for demarcating built-up areas, enabling a scientific and rapid delineation of urban built-up area boundaries at a 500 m x 500 m grid scale. Regarding the core built-up zones, a four-step process was employed: identifying the city center, recognizing high-density sub-districts and towns, verifying the main urban functional areas and facilities, and deducting open spaces of large non-construction land. This process facilitated the demarcation of core built-up zones in key cities. By unifying the data sources and demarcation methods, two basic spatial scopes with horizontal comparability were established for urban built environment assessment research. The dataset consists of the following data for the 19 cities in 2022: (1) built-up area data; (2) core built-up zone data. The dataset is archived in .shp format, and consists of 16 data files with data size of 2.23 MB (Compressed into one file with 1.37 MB).
Foundation Item：
Ministry of Science and Technology of P. R. China (2022YFC3800202)
Data Citation：
ZHANG Shujie, LI Meng*, DAN Boyang, HAN Jingbei, HAO Lingqiang.Dataset of Assessment Units for 19 Urban Built Environment of China Based on Multi-Source Data[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.03.09.V1.
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