Land-use allocation models can effectively support sustainable land use. A large number of studies solve the problems of land-use planning by constructing models, such as mathematical models and spatial analysis models. However, these models fail to fully and comprehensively consider three uncertain factors of land-use systems: randomness, interval and fuzziness. 33Therefore, through the study of the watershed land-use system, this paper develops a land-use allocation model considering the regional land-society-economy-environment system under uncertain conditions. On the basis of this model, an interval fuzzy two-stage random land-use allocation model (IFTSP-LUAM) combining social, economic and ecological factors is proposed to provide sustainable development strategies at the basin level. In addition, the proposed IFTSP-LUAM takes into account the above three uncertainties and multistage, multiobjective, dynamic, systematic and complex characteristics of typical land-use planning systems. The results showed that the model considers more socioeconomic and ecological factors and can effectively reflect the quantitative relationship between the increase in economic benefits and the decrease in environmental costs of a land-use system. The model was applied to land-use planning of Nansihu River Basin in Shandong Province. The results provided a series of suitable land-use patterns and environmental emission scenarios under uncertain conditions, which can help the watershed environmental protection bureau and watershed land-use decision-makers to formulate appropriate land-use policies, so as to balance social and economic development and ecological protection. The simulation results can provide support for an in-depth analysis of land-use patterns and the trade-off between economic development and ecological environment protection.
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http://dx.doi.org/10.3390/ijerph182413411 | DOI Listing |
Heliyon
January 2025
Guangzhou Xinhua University, School of Resources and Planning, Guangzhou, 510520, China.
Emergency shelters are multifunctional spaces that provide safe refuge, essential life protection, and rescue command for residents in case of urban disaster. These shelters constitute crucial components of urban public safety. This study, with Tianhe District in Guangzhou City as a case study, used data from emergency evacuation sites and other socio-economic sources to construct an evaluation system for spatial suitability evaluation and layout optimization of emergency shelters.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Land Science and Technology, China University of Geosciences, 29 Xueyuan Road, Haidian District, 100083, Beijing, People's Republic of China.
Limiting adverse consequences of mining activities requires ecosystem restoration efforts, whose arrangement around mining areas is poorly designed. It is unclear, however, where best to locate ecological projects to enhance ecosystem services cost-effectively. To answer this question, we conducted an optimized ecological restoration project planning by the Resource Investment Optimization System (RIOS) model to identify the restoration priority areas in the Pingshuo Opencast Coal Mine region in Shanxi Province.
View Article and Find Full Text PDFSci Rep
December 2024
Center for Decentralization & Participatory Development Research, Faculty of Social and Political Sciences, Universitas Padjadjaran, Bandung, Indonesia.
This study explores land use change plans to be utilized fairly, sustainably, and resiliently for the benefit of rural community life in Tarumajaya Village, Indonesia. This study uses a qualitative method, with a case study approach to describe the land use change plan that can be utilized for the benefit of community livelihoods in Tarumajaya Village, Indonesia. This study indicates the need to increase access to land ownership for the Village government and local community.
View Article and Find Full Text PDFJ Ind Ecol
December 2024
Industrial Ecology Programme, Department of Energy and Process Engineering Norwegian University of Science and Technology Trondheim Norway.
Extending multi-regional input-output (MRIO) models with spatially explicit life cycle impact assessment (LCIA) models allows practitioners to quantify biodiversity impacts at every step of global supply chains. Inconsistencies may be introduced, however, when high-resolution characterization factors (CFs) are aggregated so as to match the low spatial granularity of MRIO models. These aggregation errors are greater when CFs are aggregated via proxies, such as ecoregion land shares, instead of based on spatially explicit elementary stressor flows.
View Article and Find Full Text PDFSci Total Environ
January 2025
Professor, Department of Civil Engineering, Toronto Metropolitan University, Toronto M5B 2K3, Ontario, Canada.
In recent years, the impact of transportation activities on carbon (CO) emissions has gained global attention. In China, the severity of CO emissions from transportation is a pressing issue, necessitating the development of effective emission reduction strategies. This study uses taxi GPS data from Xi'an, China, to explore the spatial patterns and influencing factors of CO2 emissions.
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