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Tokyo is located in a lowland area that is vulnerable to flooding. Due to global climate change, the scalability and frequency of flooding is increasing. On the other hand, population aging and family structural changes, as well as the lack of adaptation measures, would accelerate flooding vulnerability. The key factors involved in social vulnerability must be studied to reduce the risk of flooding. In this study, we refer to the MOVE framework (a disaster vulnerability assessment framework) and analyze it from three perspectives: Exposure to social vulnerability, susceptibility, and resilience. We subsequently develop an index system to complete the evaluation using 11 indicators. The collected data will help reveal social vulnerability to floods in the Katsushika Ward, Tokyo, using the information entropy method and GIS. We found that the western region of the Katsushika Ward is at more risk than the eastern region during flooding. Additionally, the possibility of a serious crisis erupting is greater in the southwestern region than in the northwestern region. Consequently, we conclude that the spatial distribution of flooding varies in the region. The results of this study will help in understanding social vulnerability, in selecting and combining adaptation measures suited to the characteristics of the area, and in the effective and efficient implementation of these measures by the local government’s disaster department.

Determining mineral prospecting targets is crucial for mineral prediction and evaluation. In this study, an evaluation index system for solid mineral exploration and metallogenic target assessment was established using the Analytic Hierarchy Process (AHP) for the Naoniushan area (China). Furthermore, an integrated model combining geology–aerogeophysics–geochemistry was developed for copper, lead, zinc, silver, and other polymetallic deposits. The information content of each index in the model was reasonably assigned, and the mineral prospecting targets in the central and southern parts of the Daxinganling were recommended. By focusing on the copper polymetallic mineral prospecting target in the Naoniushan area, this paper demonstrates that the AHP method can comprehensively consider various influencing factors and their interactions, realize a reasonable division of the optimal mineral prospecting target, and reflect the key factors affecting the mineral prospecting target to a certain extent. Importantly, this approach reduces the influence of human subjective factors, and the optimization results are objective and scientifically grounded.

With the rise of e-commerce in China, the express delivery industry has developed rapidly; however, in this stage of rapid growth, the development of express delivery enterprises is uneven. There are problems such as high loss, damage rates, and poor service attitudes. An evaluation of the competitiveness of express delivery enterprises can help these companies understand their shortcomings and learn from each other’s strengths, which can promote the long-term development of express delivery enterprises. In this study, the information entropy method and the gray prediction method were used to establish an index system and analyze the core competitiveness of four listed express delivery companies in China, using indicators such as service quality, price level, market position, guarantee ability, and comprehensive strength; the purpose was to study the competitive advantages of these express companies. By using the gray correlation analysis to calculate the degree of correlation and comparing the size of the degree of correlation, it can be concluded that among the four express delivery companies, ZTO Express shows the strongest competitiveness and that Shentong Express is the weakest. Through the evaluation and analysis of the competitiveness of express delivery enterprises, this study provides a reference basis for operation development and competitiveness improvement of express delivery enterprises in China.

Nowadays, the attraction to talents has become increasingly prodominent in determing the future development prospect of cities. How to quantify the attractiveness of cities to talents is an important issue in evaluating the comprehensive competitiveness of cities. This paper takes Xi’an and other emerging first-tier cities in China as the main research object, and classifies the indicators that affect the attractiveness of urban talents into five specific categories. A set of evaluation models are constructed by using entropy weight method, information entropy method and TOPSIS algorithm. The different indicators that measure the level of urban development are normalized and weighted to obtain the attractiveness index of urban talents to describe the attractiveness of talents in cities with similar development levels. To prove the rationality of the model, we apply this evaluation model to different cities and test its stability.

Information entropy is introduced to describe the interactions between diverse agents in urban ecosystems. Basing on maximum information entropy method, a holistic structural parameter and its dynamic equation are derived to reflect urban ecosystem health (UEH). In this way, a new UEH assessment model has been proposed. We then apply the model to assess the UEH of Beijing, Dalian, Shanghai, Wuhan, Xiamen and Guangzhou in China. It is shown that the holistic structural parameter, the radar chart, and the associated correlations from the model can reveal the health features of different cities. According to the calculated ranges of the holistic structural parameter, a new UEH assessment grade standard is suggested and applied to the UEH assessment of some typical cities in China. It is demonstrated that the new model and the new assessment grade standard are precise and readily operational, which can be widely used in other urban ecosystems.

To evaluate the sustainability of an enormous number of urban intersections, a novel assessment model is proposed, along with an indicator system and corresponding methods to determine the indicators. Considering mainly the demands and feelings of the urban residents, the three aspects of safety, functionality, and image perception are taken into account in the indicator system. Based on technologies such as street view picture crawling, image segmentation, and edge detection, GIS spatial data analysis, a rapid automated assessment method, and a corresponding multi-source database are built up to determine the indicators. The improved information entropy method is applied to obtain the entropy weights of each indicator. A case study shows the efficiency and applicability of the proposed assessment model, indicator system and algorithm.

In recent years, drought disaster has occurred frequently in China, causing significant agricultural losses. It is increasingly important to assess the risk of agricultural drought disaster (ADD) and to develop a targeted risk management approach. In this study, an ADD risk assessment model was established. First, an improved fuzzy analytic hierarchy process based on an accelerated genetic algorithm (AGA-FAHP) was used to build an evaluation indicator system. Then, based on the indicators, the ADD assessment connection numbers were established using the improved connection number method. Finally, the entropy information diffusion method was used to form an ADD risk assessment model. The model was applied to the Huaibei Plain in Anhui Province (China), with the assessment showing that, in the period from 2008 to 2017, the plain was threatened continuously by ADD, especially during 2011–2013. The risk assessment showed that southern cities of the study area were nearly twice as likely to be struck by ADD as northern cities. Meanwhile, the eastern region had a higher frequency of severe and above-grade ADD events (once every 21 years) than the western region (once every 25.3 years). Therefore, Huainan was identified as a high-risk city and Huaibei as a low-risk city, with Suzhou and Bengbu more vulnerable to ADD than Fuyang and Bozhou. Understanding the spatial dynamics of risk in the study area can improve agricultural system resilience by optimizing planting structures and by enhancing irrigation water efficiency. This model could be used to provide support for increasing agricultural drought disaster resilience and risk management efficiency.

In order to enhance the accuracy of regional disaster-carrying capability assessment, the dissipative structure of the regional urban earthquake relative disaster-carrying system is highly complicated and nonlinear. Moreover, the problem is multi-attribute, multi-index and multilevel. Based on the evaluation index system of regional relative disaster-carrying capability, This paper used the entropy weight assignment method to work out each index’s objective weight, quantitatively researched the 29 cities’ earthquake relative disaster-carrying capability, worked out every city’s relative disaster-carrying capability and divided its grades using the mean deviation method. The research results showed that the earthquake relative disaster-carrying capability of our country was much unbalanced. It was positively correlation with the economic performance, the eastern, central and western cities’ earthquake relative disaster-carrying capabilities were mainly distributed in the shape of the ladder. The eastern cities’ capabilities were much higher than the western cities’. So, we suggested that the eastern cities should further improve its earthquake disaster-carrying capability and the central and western cities should spend more efforts to develop its earthquake disaster-carrying capability. Only in this way, our country’s urban earthquake disaster reduction can develop evenly.

[Purpose / Significance] Through the research on the personal informatization indicators of rural residents,this article constructs a measurement model of digital rural personal information,which can reveal the internal information behavior of individuals more comprehensively and profoundly, and understand the demands and opinions of rural residents on informatized public services. [Method / Process] According to the current situation of digital rural informatization construction in China, this paper firstly uses the entropy weight method to calculate and select the informatization micro-observation index, and determines the measurement index model. Then by combining with the questionnaire data, we study and evaluate the personal informatization level of rural residents in China. [Results / Conclusions] The entropy weight method determines the weight of indicators, which can fully reflect the status of rural residents' information development level. The results show that we should raise the awareness of information and expand the channels for villagers to obtain information.

Dynamic control of reservoir limited water level is important to reservoir flood control operation. A reasonable limited water level can best utilize flood water resources in addition to flood control. This paper is a trial application of the fuzzy information entropy matter-element evaluation method (FIEMEM) as an optimal selection of dynamic control of limited water level. In this method, compound matter elements are established first, followed by establishment of an evaluation model and choice of the optimal scheme on the basis of fuzzy information entropy. In determining weights, a combined weighting method in game theory is adopted to combine experiential weights and mathematical weights so as to eliminate one-sidedness of the single weighting method. Finally, the feasibility of this optimization method is verified by citing dynamic control of Biliuhe reservoir limited water level as an example.