Identification of Land Use Conflict Based on Multi-Scenario Simulation—Taking the Central Yunnan Urban Agglomeration as an Example DOI Open Access
Guoqin Wu, Yilin Lin,

Junsan Zhao

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 10043 - 10043

Published: Nov. 18, 2024

Land use conflict is an inevitable and objective phenomenon during regional development, with significant impacts on both economic growth ecological security. Scientifically assessing the spatiotemporal evolution of these conflicts essential to optimize land structures promote sustainable resource utilization. This study employs multi-period use/land cover remote sensing data from China develop a model for measurement perspective landscape risk. By applying optimal scale method determine most appropriate analysis scale, this research investigates characteristics in Central Yunnan Urban Agglomeration 2000 2020. Furthermore, by integrating Patch-Generating Use Simulation (PLUS) Multi-Objective Programming (MOP) algorithm, simulates spatial patterns 2030 under four scenarios: Natural Development (ID), Economic (ED), Ecological Conservation (PD), Sustainable (SD). The findings reveal that, 2020, proportion areas strong moderately levels increased 2.19%, while weak decreased 1.45%, underscoring growing severity conflict. predictions suggest that pattern various scenarios will largely reflect trends observed Under ID scenario, constitute 57.5% region; increases 0.85% SD scenario. Conversely, experiencing levels, which stand at 33.02% decrease 1.04% These projections indicate aims balance conservation effectively mitigates conflict, making it viable strategy future development.

Language: Английский

Defining Rural Types Nearby Large Cities from the Perspective of Urban–Rural Integration: A Case Study of Xi’an Metropolitan Area, China DOI Creative Commons
Xiji Jiang,

Jiaxin Sun,

Tianzi Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 602 - 602

Published: March 13, 2025

Urban–rural integration (URI) is essential to achieving sustainable development. However, the rural areas surrounding large cities typically have a scale and significant differences in development conditions. It necessary formulate policies by category better promote integrated between urban areas, stimulate vitality, create more opportunities for This study constructs an evaluation system under URI, using Xi’an metropolitan area as case study. A clustering algorithm enhanced random forest (RF)–principal component analysis (PCA)–partitioning around medoids (PAM) method applied evaluate comprehensively. Key findings this include following: (i) URI should be decoupled from administrative divisions, considering complex impacts of multi-town functional spillover; (ii) ecological environment, economic development, public service allocation, construction land supply are key factors influencing URI; (iii) overall index presents “high center, low east west” pattern. The with high Xianyang, while other show insufficient communication neighboring villages; (iv) can categorized into four types integration: ecological, ecological–economic, ecological–social–spatial, ecological–economic–social–spatial, which exhibit outward expansion layers extension along east–west axis spatial structure integration. Finally, differential suggestions promoting urban–rural put forward because different villages. paper provides framework formulating policies, significantly deepening

Language: Английский

Citations

0

Environmental Assessment of Dust Pollution in Point-Pattern Housing Development DOI Creative Commons
Svetlana Manzhilevskaya

Buildings, Journal Year: 2025, Volume and Issue: 15(9), P. 1466 - 1466

Published: April 25, 2025

In megacities, the rapid development of construction entails threats to environment, in particular, health urban residents. One main sources danger is microscopic dust particles PM2.5 and PM10, resulting from projects that can seriously impair people’s health. To minimize these risks, it necessary actively implement control over level air carry out scientific work study impact on environment. These measures should become mandatory aspects planning modern cities, given degree pollution large cities has already reached critical levels. where intensive and, some places, very dense, there a key importance environmental audit territories intended for construction, creating effective safe projects. The lack adequate risk during stages lead not only emergencies, but also have harmful natural It worth noting hazards vary significantly depending unique characteristics each specific site. As result an in-depth analysis ecological state region, which included assessment various levels their residents, was found areas city worsens situation. with active exceeds regulatory indicators by two times, indicates serious problem. data highlight need targeted actions improve quality reduce emissions. Thus, raises alarm about point-pattern housing as source high underlines strategies purification city. PM10 contamination 671.6 micrograms per cubic meter, while at 368.2 meter. indicate cause local exposure.

Language: Английский

Citations

0

Identification of Land Use Conflict Based on Multi-Scenario Simulation—Taking the Central Yunnan Urban Agglomeration as an Example DOI Open Access
Guoqin Wu, Yilin Lin,

Junsan Zhao

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 10043 - 10043

Published: Nov. 18, 2024

Land use conflict is an inevitable and objective phenomenon during regional development, with significant impacts on both economic growth ecological security. Scientifically assessing the spatiotemporal evolution of these conflicts essential to optimize land structures promote sustainable resource utilization. This study employs multi-period use/land cover remote sensing data from China develop a model for measurement perspective landscape risk. By applying optimal scale method determine most appropriate analysis scale, this research investigates characteristics in Central Yunnan Urban Agglomeration 2000 2020. Furthermore, by integrating Patch-Generating Use Simulation (PLUS) Multi-Objective Programming (MOP) algorithm, simulates spatial patterns 2030 under four scenarios: Natural Development (ID), Economic (ED), Ecological Conservation (PD), Sustainable (SD). The findings reveal that, 2020, proportion areas strong moderately levels increased 2.19%, while weak decreased 1.45%, underscoring growing severity conflict. predictions suggest that pattern various scenarios will largely reflect trends observed Under ID scenario, constitute 57.5% region; increases 0.85% SD scenario. Conversely, experiencing levels, which stand at 33.02% decrease 1.04% These projections indicate aims balance conservation effectively mitigates conflict, making it viable strategy future development.

Language: Английский

Citations

1