Urban resilience evaluation based on the DRIVING FORCE-PRESSURE-STATE-IMPACT-RESPONSE (DPSIR) framework and BP NEURAL NETWORK: A case study of Hubei Province DOI Creative Commons
Liang Yan, Yingsong Cheng, Fu Ren

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 22, 2024

Abstract Building resilient cities has become an emerging risk management strategy, thus it is necessary to make a scientific evaluation on urban resilience. In this study, both the Driving Force-Pressure-State-Impact-Response (DPSIR) framework and BP neural network were innovatively adopted construct comprehensive resilience model. Prefecture-level in Hubei Province examined for empirical analysis. The results showed that: (1) Urban dynamic process of change. level was influenced primarily by two major factors: driving force response. (2) had been improving steadily from 2015 2021, but there spatial negative correlation among them. Owing uneven development within Province, can be apparently seen that Wuhan, provincial capital, holds dominant position. (3) Resource environmental pressure main obstacle construction Wuhan. primary limiting factors other are degree socioeconomic growth capacity government handle affairs. This study not only enriched theory methods evaluation, also important reference value formulate effective sustainable strategies.

Язык: Английский

Exploring the Path of Balanced Development: The Decoupling Evaluation of Agricultural Production Efficiency and Land Carrying Capacity DOI
Yihang Hu, Junbiao Zhang, Qiqi Liu

и другие.

Land Degradation and Development, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 16, 2024

ABSTRACT High‐quality development in agriculture is crucial for maintaining the harmonious balance between human society and natural environment, promoting this model one of key measures to alleviate land degradation issues. This study, grounded PRED theory (Population, Resources, Environment, Development theory) framework, establishes an evaluation system high‐quality agricultural by selecting 128 cities within Yangtze River Economic Belt as its samples. It quantifies carrying capacity, utilizes Stochastic Frontier Analysis (SFA) assess production efficiency, applies Tapio decoupling analyze interplay these two factors. The results reveal that resource index has risen from 1.245 1.70, indicating escalating tension population food resources. Furthermore, efficiency seen a 16.56% increase, reflecting positive advancements across region. Spatial distribution analysis shows standard deviation ellipse concentrated mid lower reaches, centered Changde, Hunan, expanding westward, with broader coverage area perimeter. Additionally, relationship capacity primarily manifests three forms: strong negative decoupling, weak expansive decoupling. research offers significant insights effectively mitigating strain growth resource‐environmental capacity.

Язык: Английский

Процитировано

1
Urban resilience assessment framework and spatiotemporal dynamics in Hubei, China DOI Creative Commons
Liang Yan, Yingsong Cheng, Fu Ren

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 28, 2024

Building resilient cities has become an emerging risk management strategy, thus it is necessary to make a scientific evaluation on urban resilience. In this study, both the Driving Force-Pressure-State-Impact-Response (DPSIR) framework and BP neural network are innovatively adopted construct comprehensive resilience system. Prefecture-level in Hubei Province examined for empirical analysis. The results show that: (1) exhibits intermittent growth pattern, progressing west-to-east direction. This characterized by three years of advancement followed one-year period stagnation. (2) There spatial negative correlation. Owing uneven development within Province, can be seen that Wuhan, provincial capital, holds dominant position. (3) Resource environmental pressure main obstacle construction Wuhan. primary limiting factors other degree socioeconomic capacity government handle affairs. based process-oriented nature resilience, constructs indicator system under DPSIR framework, fully reflecting characteristics It not only enriches theory methodology but also offers valuable references governments formulate effective strategies sustainable development.

Язык: Английский

Процитировано

1
Decoupling Analysis between Socio-Economic Growth and Air Pollution in Key Regions of China DOI Open Access

Manru Wei,

Xiaoming Chuai,

Yisai Li

и другие.

Sustainability, Год журнала: 2024, Номер 16(17), С. 7571 - 7571

Опубликована: Сен. 1, 2024

The coordinated development of atmospheric pollution and socio-economic growth plays a core role in the sustainable cities regions. relationship between air can be described using decoupling analysis. seven key regions China (168 cities), including Beijing–Tianjin–Hebei its surrounding areas (BTHSR), Yangtze River Delta region (YRDR), Fen-Wei Plain (FWP), Chengdu–Chongqing (CCR), urban agglomeration middle reaches (MLRYR), Pearl (PRDR), other provincial capitals municipalities with specialized plans (OPCCSP) were taken as targets to investigate spatiotemporal evolution characteristics AQI values PM2.5 concentrations from 2014 2022. Then, AQI/PM2.5 index (SEGI) these was deeply researched by Tapio model. main results follows: (1) Although continuous improvement quality observed China, concentration BTHSR FWP still higher than 35 μg·m−3. showed spatial pattern high north low south, distribution east west. (2) degree relatively PRDR YRDR. In contrast, poor OPCCSP. states primarily influenced industrial structure, energy consumption, urbanization. (3) strong state throughout majority study period, achieving comparatively ideal 2018. However, overall not sustainable, stability poor. During research changed unstable.

Язык: Английский

Процитировано

0
Urban resilience evaluation based on the DRIVING FORCE-PRESSURE-STATE-IMPACT-RESPONSE (DPSIR) framework and BP NEURAL NETWORK: A case study of Hubei Province DOI Creative Commons
Liang Yan, Yingsong Cheng, Fu Ren

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 22, 2024

Abstract Building resilient cities has become an emerging risk management strategy, thus it is necessary to make a scientific evaluation on urban resilience. In this study, both the Driving Force-Pressure-State-Impact-Response (DPSIR) framework and BP neural network were innovatively adopted construct comprehensive resilience model. Prefecture-level in Hubei Province examined for empirical analysis. The results showed that: (1) Urban dynamic process of change. level was influenced primarily by two major factors: driving force response. (2) had been improving steadily from 2015 2021, but there spatial negative correlation among them. Owing uneven development within Province, can be apparently seen that Wuhan, provincial capital, holds dominant position. (3) Resource environmental pressure main obstacle construction Wuhan. primary limiting factors other are degree socioeconomic growth capacity government handle affairs. This study not only enriched theory methods evaluation, also important reference value formulate effective sustainable strategies.

Язык: Английский

Процитировано

0