Literature DB >> 30695744

Research on the synergy of urban system operation-Based on the perspective of urban metabolism.

Yupeng Fan1, Chuanglin Fang2.   

Abstract

Cities have been posing threats to local environment due to intensive human activities. Disordered urban metabolism can lead to unhealthy urban system operation. Studying urban metabolism can identify the characteristics and structure of urban system operations, thereby promoting sustainable development. We construct an ecological network to model the energy/material flows among the sectors of urban system in Beijing, Shanghai, Tianjin, and Chongqing, which are the most representative cities of China. Ecological network analysis was introduced to survey the system's characteristic of structure and function. Results show that Shanghai's urban metabolic system has the highest synergism with a value of 5.04, followed by Beijing, Chongqing, and Tianjin. Different cities vary considerably in terms of the relationships among the sectors. In Beijing and Chongqing, there is mutualistic relationship between environment and primary industry. Transportation forms a mutualistic relationship with tertiary industry and other sectors Only in Chongqing. The good relationships between primary industry and construction are merely seen in Beijing and Shanghai. However, some relationships are similar in the four cities, for instance, all the relationships between primary industry and advanced industry, and between construction and advanced industry are competition; All the relationships between environment and transportation are mutualism. We further explored the network stability and found that the studied urban systems are all located in a stable status relatively. Our research could reveal the synergy of urban operation, and provide a theoretical basis for optimizing urban metabolic processes by regulating the flows and guidance for sustainable urban development.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Competition; Mutualism; Stability; Sustainable development; Synergism; Urban metabolic system

Year:  2019        PMID: 30695744     DOI: 10.1016/j.scitotenv.2019.01.252

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

Review 1.  Exploring the raison d'etre behind metric selection in network analysis: a systematic review.

Authors:  D Morrison; M Bedinger; L Beevers; K McClymont
Journal:  Appl Netw Sci       Date:  2022-07-14
  1 in total

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