Study on GIS Visualization in Evaluation of the Human Living Environment in Shenyang-Dalian Urban Agglomeration

Abstract

Analysis of human living environmental quality of Shenyang-Dalian urban agglomerations has important theoretical and practical significance in rapid development region. A lot of investigations have been carried for Shenyang-Dalian urban agglomerations, including 38 counties. Based on the carrying capacity of resources, natural and socioeconomic environmental factors and regional changes of human living environmental evaluation are analyzed with the application of geographic information systems (GIS) software. By using principal component analysis (PCA) model and natural breaks classification (NBC) method, the evaluation results are divided into five categories. The results show that the human living environmental evaluation (HLEE) indexes of Dalian, Shenyang, and Liaoyang are higher than other counties. Among these counties, the human living environmental evaluation (HLEE) indexes of coastal counties are significantly higher than inland counties. The range of the human living environmental evaluation index in most of the study area is at III, IV, and V levels, accounting for 80.01%. Based on these results, it could illustrate the human living environment is in relatively suitable condition in Shenyang-Dalian urban agglomeration.

Evaluation Method for Urban Public Service Carrying Capacity (UPSCC): A Qualitative–Quantitative Bi-Dimensional Perspective

“…Although the concept of UPSCC was not formally introduced in this study, it was embedded in it. Since then, UPSCC has not been given enough attention, and public services only appear as one of the dimensions of indicator systems in some studies regarding the evaluation of the urban comprehensive carrying capacity [ 31 , 32 ]. In 2016, Wang (2016) initially clarified the theoretical definition and component of UPSCC.…”

Modelling urban growth using Urban growth deterministic model in Kolkata Metropolitan Area: a geo-statistical approach

“…The principal components provide information on the most meaningful parameters which describe the whole data sets according to data reduction with minimum loss of original information. This approach will translate several complicating factors into principal components, while the results obtained will be more scientific and effective (Hou et al 2016). For the purposes of analysis, principal component analysis (PCA) has been done over the seventeen factors of different criteria's listed in Table 1 to find out the major determinants of urban growth in Kolkata city (Table 1).…”

Spatial differentiation of comprehensive suitability sustainable development for urban human settlements based on GIS：A case study of Liaoning Province, China

“…Existing research on human settlements mainly explore ve major systems-namely, the natural ecological environment (Cui et al, 2018;Qiu et al, 2019), human culture (Ahamed et al, 2020), social economy (Cui et al, 2018;Yang et al, 2020), living conditions, and architectural supports (Nouri et al, 2017)-and zoom in on select areas with speci c development conditions (Wei et al, 2013;Jiao et al, 2012;Bathrellos et al, 2013), such as special geographical environment regions (Alatawi et al, 2020;Milanesi et al, 2015;Buruso, 2018), natural regions subject to environmental protections, agricultural and animal husbandry cities (Weisong et al, 2019;Sarı et al, 2020), mining cities, and riverside cities or cities located by a lake basin (Casarotto et al, 2019;Chavez-Rosales et al, 2019;Nouri et al, 2017). The spatial scale of this research extends across global, regional, urban, community (Wei et al, 2020), and architectural levels (Jin et al, 2016;Wei et al, 2020;Hou et al, 2016). Meanwhile, such suitability research uses theoretical models from geography, ecology, environmental studies, and economics (Li et al, 2019); established index and model systems; and software such as ArcGIS10.2 and ENVI5.0 to spatially visualize settlements, quantitatively analyze the evolution of suitability across time and space (Luo et al, 2019), and simulate and predict the future development of human settlements (Milanesi et al, 2015).…”

“…To offer insights on suitability at a provincial scale, this study explored the case of Liaoning Province. In particular, we unpacked the impact of select natural elements on suitability, such as the relief degree of land surface (RDLS) index (Xiao et al, 2018b;Milanesi et al, 2015), the normalized difference vegetation index (NDVI) (Hou et al, 2016), the hydrology index (HI), the temperature and humidity index (THI) (Shao et al, 2020;Nouri et al, 2017), the land cover index (LCI) (Bikdeli, 2020;Wei et al, 2020;Shao et al, 2020), the nighttime light index (NLI), the land tra c accessibility index (LTAI), the air quality index (AQI) and other humanistic elements. Notably, we synthesized natural and humanistic suitability indicators to establish a comprehensive suitability index evaluation model for settlements based on the work we performed with ArcGIS10.2, ENVI5.0, spatial quantitative analysis, and our evaluation of the comprehensive suitability of sustainable development for settlements in Liaoning.…”