Research Progress on the Theory and Practice of Foreign Community Resilience

Peng, Chong; Guo, Zuyuan; Peng, Zhong-Ren

doi:10.22217/upi.2016.127

Cited by 17 publications

(6 citation statements)

References 1 publication

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“…Uddin et al studied assignment of freight traffic in a large-scale intermodal network under uncertainty [27]. Scholars such as Peng et al and Guo et alstudied the problem of supply chain resilience in the pandemic [28,29].…”

Section: Literature Reviewmentioning

confidence: 99%

Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics

2023

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The COVID-19 pandemic has severely impacted international economics and trade, including cargo transportation. As a result, enhancing the resilience of transport and logistics in the post–COVID-19 era has become a general trend. Multimodal transport, with its advantages of speed, large volume and multiple modes, has increasingly gained attention from countries worldwide. However, multimodal transport logistics is a complex and systematic process. Its smooth flow depends not only on the transport itself, but also on the efficient supervision of customs and other government departments at ports. This study employs the theory and method of a super-network to establish a model of multimodal transport logistics, which includes TIR-based sea–road multimodal transport and customs supervision relationships. Structural and resilience-related characteristics of the super-network are analyzed, and performance parameters of the super-network are proposed. A simulation analysis is conducted, and based on the results, countermeasures to improve the resilience and promote risk management of multimodal transport logistics in the post–COVID-19 era are suggested. The findings of this study provide an exploration of more effective ways to ensure the smoothness of multimodal transport logistics and improve system resilience. The study concludes with theoretical and managerial implications.

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Section: Literature Reviewmentioning

confidence: 99%

Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics

2023

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“…The formation and evolution of the pattern of spatial differentiation of economic resilience differences in counties was driven by a combination of factors within the economic system and factors outside the system. In this thesis, through a systematic review of the existing literature [34][35][36][37][38][39][40], while following the principles of scientific and operability of data, five variables were selected as indicators affecting the economic resilience of Chinese counties. (1) The strength of government support.…”

Section: Analysis Of Influencing Factors 421 Selection Of Influencing...mentioning

confidence: 99%

Spatial Pattern Evolution Characteristics and Influencing Factors in County Economic Resilience in China

Song

2022

Sustainability

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In the face of shocks, a region’s economic resilience decides whether it can quickly recover or slip into long-term economic stagnation. This study took 2801 counties in China as the research object and distinguished them into long-term and short-term economic resilience by taking 2007–2020 as the research time period, and used spatial autocorrelation, the semi-variance function, and the geodetector method to analyze the spatial evolution pattern and driving mechanism of economic resilience of China’s counties in different time periods. The research found that: (1) From a long-term perspective, the economic resilience of China’s counties was dominated by the moderate level of resilience, and although its characteristics varied slightly over time, the overall performance showed that the level of resilience was increasing. Over time, the number of counties with very high levels of resilience has been increasing, and the number of counties with very low levels has been gradually decreasing. (2) In terms of spatial layout, China’s county economic resilience exhibited spatial autocorrelation, with similar areas clustered and distributed spatially, with high-high concentration (H-H) and hot spot (99% confidence) areas distributed in the eastern coast and its hinterland, and low-low concentration (L-L) and cold spot (99% confidence) areas distributed in Inner Mongolia and the northeast. The evolution of its spatial pattern was influenced by both stochastic and structural factors, and the spatial divergence was mainly reflected in the northeast–southwest direction, while the northwest–southeast direction was more balanced. (3) Long-term economic resilience and short-term economic resilience had different influencing factors. The industrial structure diversification index, which characterized economic factors, could significantly improve the long-term economic resilience of cities, while the influencing factors of short-term economic resilience differed from period to period.

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“…Some progress has been made in assessing the level of community resilience to disasters. "The PEOPLE Resilience Framework" and The Localized Disaster-Resilience Index, designed from the perspective of community components [14,15], take into account the contributions of external factors to community resilience. Some scholars have focused on the community itself, emphasizing the ability of families, community capital, and external forces to work together in response to disasters.…”

Section: Introductionmentioning

confidence: 99%

Community Resilience Assessment and Identification of Barriers in the Context of Population Aging: A Case Study of Changchun City, China

Zhao

Wang

et al. 2023

Sustainability

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As a susceptible demographic, elderly individuals are more prone to risks during sudden disasters. With the exacerbation of aging, new challenges arise for urban disaster reduction and prevention. To address this, the key is to establish a community-scale resilience assessment framework based on the aging background and to summarize factors that influence the resilience level of communities. This approach is a crucial step towards seeking urban disaster prevention and reduction from the bottom up, and serves as an important link to enhance the capacity of urban disaster reduction. This paper explores community resilience evaluation indicators under the background of aging, builds a community resilience evaluation index system based on the Pressure–State–Response, uses the entropy weight method to weigh the indicators, and carries out a resilience evaluation of 507 communities in the main urban area of Changchun. The empirical results indicate significant spatial differentiation of community resilience in the main urban area of Changchun. Moreover, the regional development is unbalanced, showing a spatial distribution pattern of weakness in the middle and strength in the periphery. The ring road network highlights the difference between the new and old urban areas. The high contribution indexes of community resilience in the main urban area of Changchun were concentrated on disaster relief materials input, community self-rescue ability, and disaster cognition ability. Finally, strategies to improve community resilience are proposed from the perspectives of stress, state, and response, emphasizing community residents’ participation, conducting disaster prevention and reduction training, and improving community response-ability.

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Research Progress on the Theory and Practice of Foreign Community Resilience

Cited by 17 publications

References 1 publication

Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics

Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics

Spatial Pattern Evolution Characteristics and Influencing Factors in County Economic Resilience in China

Community Resilience Assessment and Identification of Barriers in the Context of Population Aging: A Case Study of Changchun City, China

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