Evaluation of Urban Resilience and Its Influencing Factors: A Case Study of the Yichang–Jingzhou–Jingmen–Enshi Urban Agglomeration in China DOI Open Access
Zhilong Zhao,

Zengzeng Hu,

Xu Han

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7090 - 7090

Published: Aug. 18, 2024

With the increasing frequency of various uncertainties and disturbances faced by urban systems, resilience is one vital components sustainability modern cities. An indicator system constructed to measure levels Yichang–Jingzhou–Jingmen–Enshi (YJJE) agglomeration during 2010–2023 based on four domains—economy, ecology, society, infrastructure. This paper analyzes spatiotemporal differentiation in YJJE conjunction with entropy weight method, Getis–Ord Gi* model, robustness testing. Then, factor contribution model used discern key driving elements resilience. Finally, CA-Markov implemented predict 2030. The results reveal that values increase at a rate 3.25%/a continue rise, differences among cities narrowing over examined period. Furthermore, exhibits significant spatially heterogeneity distribution, Xiling, Wujiagang, Xiaoting, Yidu, Zhijiang, Dianjun, Dangyang, Yuan’an, Yiling, Duodao being high-value agglomerations resilience, Hefeng, Jianli, Shishou, Wufeng low-value marked reflects disparity economic progress across study area. total amount social retail, financial expenditure per capita, GDP park green space area, disposable income number buses 10,000 people surface as influencing factors relation within will reach medium level or higher than Yuan’an remain hot spots while Jianli cold spot. In nutshell, this can provide scientific references policy recommendations for policymakers, planners, researchers aspects sustainable city.

Language: Английский

Energy optimization using hybrid demand response, renewable energy, and storage battery: A tri-objective optimization approach DOI
Kalim Ullah, Ghulam Hafeez, Imran Khan

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106145 - 106145

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Innovative Sustainable Multi-Energy Management Framework for Full Renewable Grid-Tied Microgrids Under the Transactive Energy Paradigm DOI
Mohammadreza Daneshvar, Behnam Mohammadi‐Ivatloo, Kazem Zare

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106167 - 106167

Published: Jan. 1, 2025

Language: Английский

Citations

0
Advanced Supply-Demand Optimization in Renewable-Powered Microgrids DOI Creative Commons
Aravind Karrothu, H. Pal Thethi,

Bheemsain Rao

et al.

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 619, P. 02002 - 02002

Published: Jan. 1, 2025

As natural disasters become more frequent and severe threatening modern power grids, increasing the resilience of electric supply systems has grown increasingly important. Several approaches for assessing system have been proposed in literature but no effective methods developed to incorporate advanced technologies, renewable energy, cybersecurity measures cost frameworks. This paper presents a comprehensive review state art methodologies frameworks taking into account pre post event phases order learn from their preparedness ability recover. study also provides opportunities apply machine learning, AI, big data analytics planning, identifies role microgrids, policy frameworks, energy integration, categorizes all existing techniques characteristics shortcomings. Moreover, discusses emerging challenges such as need enhanced networks ways which social environmental impacts can potentially influence water supply. The work aims provide holistic understanding distribution resilience, present future research directions, help develop efficient strengthen grid improve restoration following disruptions.

Language: Английский

Citations

0
Evaluation of Urban Resilience and Its Influencing Factors: A Case Study of the Yichang–Jingzhou–Jingmen–Enshi Urban Agglomeration in China DOI Open Access
Zhilong Zhao,

Zengzeng Hu,

Xu Han

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7090 - 7090

Published: Aug. 18, 2024

With the increasing frequency of various uncertainties and disturbances faced by urban systems, resilience is one vital components sustainability modern cities. An indicator system constructed to measure levels Yichang–Jingzhou–Jingmen–Enshi (YJJE) agglomeration during 2010–2023 based on four domains—economy, ecology, society, infrastructure. This paper analyzes spatiotemporal differentiation in YJJE conjunction with entropy weight method, Getis–Ord Gi* model, robustness testing. Then, factor contribution model used discern key driving elements resilience. Finally, CA-Markov implemented predict 2030. The results reveal that values increase at a rate 3.25%/a continue rise, differences among cities narrowing over examined period. Furthermore, exhibits significant spatially heterogeneity distribution, Xiling, Wujiagang, Xiaoting, Yidu, Zhijiang, Dianjun, Dangyang, Yuan’an, Yiling, Duodao being high-value agglomerations resilience, Hefeng, Jianli, Shishou, Wufeng low-value marked reflects disparity economic progress across study area. total amount social retail, financial expenditure per capita, GDP park green space area, disposable income number buses 10,000 people surface as influencing factors relation within will reach medium level or higher than Yuan’an remain hot spots while Jianli cold spot. In nutshell, this can provide scientific references policy recommendations for policymakers, planners, researchers aspects sustainable city.

Language: Английский

Citations

3