Mega-city region sustainability assessment and obstacles identification with GIS–entropy–TOPSIS model: A case in Yangtze River Delta urban agglomeration, China

Xu, Xueyan; Zhang, Zhonghao; Tao, Long; Sun, Shimeng; Gao, Jun

doi:10.1016/j.jclepro.2021.126147

Cited by 62 publications

(30 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are five steps to execute the TOPSIS process. [75][76] Step 1: Construct the normalization evaluation matrix.…”

Section: Entropy-topsis Methodsmentioning

confidence: 99%

Spatio-temporal evolution and driving effects of the ecological intensity of urban well-being in the Yangtze River Delta

Zhou

2021

Energy & Environment

View full text Add to dashboard Cite

The fundamental goal of sustainable urban development is to maximize human well-being with minimum ecological consumption. The ecological intensity of urban well-being (EIWB) achieves an effective linkage among economic, social, and ecological systems, and it is an effective indicator for evaluating urban sustainable development. This study analyzed the spatio-temporal evolution characteristics and driving effects of the ecological intensity of urban well-being over 2000–2019 in the Yangtze River Delta. It was found that as the ecological consumption per unit well-being output decreased gradually, the improvement in well-being level and the increase in ecological consumption were increasingly delinked, and regional EIWB and its sub-dimensions tended to fluctuate. Urban EIWB was dominated by low and lower levels, urban economic well-being (ECWB) was increasingly dominated by the lower type, and urban social well-being (SOWB) and environmental well-being (ENWB) were dominated by the low level. The resource consumption, technology, and well-being effects distinctively inhibited the decrease in regional EIWB and the economic effect exerted an obvious boosting function, whereas environmental consumption effect, scale effect, and efficiency effect had no obvious impact. The variation in urban EIWB was mainly driven by two-factor dominance, featuring economic and technological effects.

show abstract

“…There are five steps to execute the TOPSIS process. [75][76] Step 1: Construct the normalization evaluation matrix.…”

Section: Entropy-topsis Methodsmentioning

confidence: 99%

Spatio-temporal evolution and driving effects of the ecological intensity of urban well-being in the Yangtze River Delta

Zhou

2021

Energy & Environment

View full text Add to dashboard Cite

show abstract

“…Then, each scheme in the scheme set is compared with the positive ideal solution and the negative ideal solution, respectively. The best scheme is those schemes which are close to the positive ideal solution and far away from the negative ideal solution [24]. There is a defect in TOPSIS to evaluate, which can only sort the level of each scheme, but cannot judge the level of each scheme.…”

Section: Improved Topsismentioning

confidence: 99%

Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy

Wu¹,

Zou²,

Yao³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

The evaluation of the implementation effect of the power substation project can find out the problems of the project more comprehensively, which has important practical significance for the further development of the power substation project. To ensure accuracy and real-time evaluation, this paper proposes a novel hybrid intelligent evaluation and prediction model based on improved TOPSIS and Long Short-Term Memory (LSTM) optimized by a Sperm Whale Algorithm (SWA). Firstly, under the background of considering the development of new energy, the influencing factors of power substation project implementation effect are analyzed from three aspects of technology, economy and society. Moreover, an evaluation model based on improved TOPSIS is constructed. Then, an intelligent prediction model based on SWA optimized LSTM is designed. Finally, the scientificity and accuracy of the proposed model are verified by empirical analysis, and the important factors affecting the implementation effect of power substation projects are pointed out.

show abstract

“…Alternatives that are closest to the positive ideal solution and farthest from the negative ideal solution are considered to be given priority [43]. TOPSIS methods are widely used, such as national energy development [44][45][46], soil and water resources assessment [47], ecological and environmental risk assessment [48][49][50][51], and vulnerability assessment [52][53][54][55][56]. However, there are currently no scholars using the TOPSIS model to evaluate agricultural high-temperature disaster vulnerability and for generating decision support options.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Yong

Guga

et al. 2022

Agriculture

View full text Add to dashboard Cite

The negative impact of high-temperature disaster on agricultural production is becoming more and more serious, and reducing the vulnerability to high-temperature disaster is fundamental to achieving sustainable agricultural development. This study is mainly focused on the vulnerability to agricultural high-temperature disaster in Shaanxi Province, China. Firstly, 15 indicators were selected from the perspectives of exposure, sensitivity, and adaptability. Secondly, the combined weighting method (Critic-G1 model) was used to determine the weight of each index. Based on the aforementioned procedures, the Kullback–Leibler (KL)-distance-improved TOPSIS model was utilized to evaluate the vulnerability. Lastly, the obstacle model was used to analyze the influencing factors and to make recommendations for disaster prevention and mitigation. The results show that: (1) The improved TOPSIS model was closer to the results of the synthetical index method. (2) The northern and southern area of Shaanxi is more vulnerable to high-temperature disaster, especially in Ankang and Tongchuan. Low values are distributed in the Guanzhong Plain. (3) Sensitivity is the biggest obstacle to reducing the vulnerability to high-temperature disaster. Among the influencing factors, the meteorological yield reduction coefficient of variation, multiple cropping index and per capita net income of rural residents of the obstacle are high. Decreasing sensitivity should be accompanied by increasing adaptability to improve regional disaster preparedness and mitigation. The results of this study can provide a basis for the development of agricultural high-temperature disaster mitigation and loss reduction strategies and provide new ideas for future research.

show abstract

Mega-city region sustainability assessment and obstacles identification with GIS–entropy–TOPSIS model: A case in Yangtze River Delta urban agglomeration, China

Cited by 62 publications

References 57 publications

Spatio-temporal evolution and driving effects of the ecological intensity of urban well-being in the Yangtze River Delta

Spatio-temporal evolution and driving effects of the ecological intensity of urban well-being in the Yangtze River Delta

Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Contact Info

Product

Resources

About