Micro-scale habitability evaluation of Sino-Singapore Tianjin Eco-city based on multi-source data

doi:10.13287/j.1001-9332.202209.023

Abstract

Abstract: Quantitative assessment of livability within a city facilitates the identification of urban problems and targeted improvements to the environment. Available studies are mostly limited to static analysis of a particular phase. It is difficult to reveal the dynamic development state of cities at the micro level. Taking Sino-Singapore Tianjin Eco-city as an example, we established an evaluation index system for the livability of the eco-city from five dimensions, including environmental health, transportation convenience, urban security, facility convenience, and economic prosperity. Multi-source data from 2016 to 2020, including the remote sensing images, points of interest, and planning data, combined with the entropy method and the TOPSIS method were used to dynamically monitor the livability of the eco-city in a long-term series. The results showed that during the study period, the livability levels of different areas in the eco-city had strong spatial and temporal variations. Spatially, with the southern part of the Sino-Singapore Eco-city Cooperation Zone as the core, the overall livability was characterized by a high center and a low edge. The convenience of facilities, traffic convenience, and economic prosperity were characterized by a high center and a low edge. Urban security and environmental health showed the characteristics of low center and high edge. From 2016 to 2020, the livability improvement rate of the eco-city had gradually accelerated, with the the most obvious improvement in the southern part of the China-Singapore Cooperation Zone.

Key words: Sino-Singapore Tianjin Eco-city, livability, entropy method, technique for order preference by similarity to ideal sulution, time series analysis

YAO Xiao-jing, ZHENG Wei, WANG Da-cheng, AN Mai, WANG Xiao-yan, CHEN Wei, WANG Wei, CHI Tian-he. Micro-scale habitability evaluation of Sino-Singapore Tianjin Eco-city based on multi-source data[J]. Chinese Journal of Applied Ecology, 2022, 33(9): 2493-2500.

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