RESUMO
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.
Assuntos
Meios de Transporte , China , Cidades , EntropiaRESUMO
The objective evaluation of human settlement in cities helps find the problems exposed in urban development and make targeted adjustments to improve urban environment. Taking the downtown of Fuzhou as the research area, the residential area as the research unit, using multi-source data such as meteorological monitoring data, remote sensing imagery, map points of interest data (POI), and land planning data, we constructed monitoring system of urban human settlement from four aspects: environmental health and comfort, traffic convenience, city safety, and life conve-nience. The TOPSIS method was used to conduct a comprehensive evaluation of human settlement. The results showed that the human settlement level of downtown Fuzhou was quite different, which was high in the central area and low in the peripheral areas. The human settlement index was high in the middle of the urban area, low in the eastern and southern areas, with mixed high and low values in the western and northern areas. In each index layer, the characteristics of high-high agglomeration and low-low agglomeration of traffic convenience and life convenience were consistent with the distribution of high and low value clusters of the human settlement. Convenient transportation and complete service facilities had a greater impact on human settlement. The environmental health and comfort were characterized by interior low and edge high of the city, while city safety was characterized by interior high and edge low.
