Spatio-temporal patterns of Chinese urban recovery and system resilience under the pandemic new normal

Fu, Haiyue; Hong, Nana; Liao, Chuan

doi:10.1016/j.cities.2023.104385

Cited by 15 publications

(3 citation statements)

References 29 publications

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“…Focuses on the dynamic fabric of civic life within the Municipality of Patras, Greece. Aligns with the existing literature [4,[6][7][8][9][10][11][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28], which highlights the significance of temporal analysis of urban data in informing planning and decision-making.…”

Section: Discussionmentioning

confidence: 55%

“…Urban planners, armed with this temporal awareness, can tailor strategies that align with the rhythm of the city, ensuring that interventions and developments are synchronized with the evolving needs of the community. Local authorities stand to benefit immensely from this temporal perspective, as they navigate the intricacies of resource allocation, infrastructure development, and policy formulation [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis

Gkontzis,

Kotsiantis,

Feretzakis

et al. 2024

BDCC

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In an epoch characterized by the swift pace of digitalization and urbanization, the essence of community well-being hinges on the efficacy of urban management. As cities burgeon and transform, the need for astute strategies to navigate the complexities of urban life becomes increasingly paramount. This study employs time series analysis to scrutinize citizen interactions with the coordinate-based problem mapping platform in the Municipality of Patras in Greece. The research explores the temporal dynamics of reported urban issues, with a specific focus on identifying recurring patterns through the lens of seasonality. The analysis, employing the seasonal decomposition technique, dissects time series data to expose trends in reported issues and areas of the city that might be obscured in raw big data. It accentuates a distinct seasonal pattern, with concentrations peaking during the summer months. The study extends its approach to forecasting, providing insights into the anticipated evolution of urban issues over time. Projections for the coming years show a consistent upward trend in both overall city issues and those reported in specific areas, with distinct seasonal variations. This comprehensive exploration of time series analysis and seasonality provides valuable insights for city stakeholders, enabling informed decision-making and predictions regarding future urban challenges.

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Section: Discussionmentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis

Gkontzis,

Kotsiantis,

Feretzakis

et al. 2024

BDCC

View full text Add to dashboard Cite

show abstract

“…Bakkensen et al, emphasize the importance of focusing on the ability of cities and urban systems to recover and reconstruct after public disasters [20]. Fu et al, also contend, via the geographical detector model and geographic weighted regression model, that urban resilience is a key factor in enhancing preparedness for public health challenges [21]. Various factors influence the degree of urban resilience.…”

Section: Resilience In the Face Of Public Health Crisesmentioning

confidence: 99%

Measuring the Urban Resilience Abased on Geographically Weighted Regression (GWR) Model in the Post-Pandemic Era: A Case Study of Jiangsu Province, China

Liu

et al. 2023

Land

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Since China declared that the post-epidemic era would begin in April 2020, the prevention and control of epidemics have become routine. The capacity of cities to respond to future public health emergencies will be enhanced if the resilience of cities is accurately measured and an emphasis is placed on improving resilience levels. Under the 4R framework, this study quantifies and analyzes the level of resilience of the cities in Jiangsu Province from both subjective and objective perspectives. By selecting explanatory variables and developing a GWR model, the spatial distribution characteristics of the quantified scores of resilience and the spatial characteristics of the influencing factors are analyzed. The results indicate that cities in southern Jiangsu should invest more in economic development and medical resources in the post-epidemic period. Northern Jiangsu should prioritize boosting the health and social work sector’s gross domestic product. Coastal cities must enhance their capacity for innocuous waste treatment.

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Study on the resilience recovery of civil airport infrastructure under weather extremes

Huang,

Yang,

et al. 2024

Nat Hazards

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Spatio-temporal patterns of Chinese urban recovery and system resilience under the pandemic new normal

Cited by 15 publications

References 29 publications

Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis

Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis

Measuring the Urban Resilience Abased on Geographically Weighted Regression (GWR) Model in the Post-Pandemic Era: A Case Study of Jiangsu Province, China

Study on the resilience recovery of civil airport infrastructure under weather extremes

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