Land Use Policy最新文献

{"title":"The transition towards carbon neutrality: Land use policy, resource and energy management modes, and spatial planning options","authors":"Tianren Yang,&nbsp;Haozhi Pan,&nbsp;Xiaoling Zhang","doi":"10.1016/j.landusepol.2025.107563","DOIUrl":"10.1016/j.landusepol.2025.107563","url":null,"abstract":"<div><div>This editorial paper synthesises the findings from the special issue dedicated to exploring the pivotal roles of land use policy, energy management, and spatial planning in achieving carbon neutrality. The eleven papers featured in this issue present innovative approaches and empirical studies that highlight crucial strategies for mitigating carbon emissions and promoting sustainable urban development. The papers in this issue explore topics ranging from the impact of urban centre layout on household carbon emissions in Chinese cities to the feasibility of 15-minute cities in the United States, and from the non-linear effects of land conveyance on urban carbon emissions to the simulations of land use carbon neutrality scenarios. Collectively, these studies provide a comprehensive overview of the complex relationships between urban form, land use, resource management, and carbon emissions. Furthermore, the issue advances our understanding of the pathways towards carbon neutrality, emphasising innovative spatial policies, governance, and implementation instruments that foster environmental and social co-benefits.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107563"},"PeriodicalIF":6.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupled impact of climate change and human activities on farmland loss on the Tibetan Plateau","authors":"Tianyuan Zhang ,&nbsp;Changxiu Cheng ,&nbsp;Shi Shen ,&nbsp;Yongxia Yang ,&nbsp;Sijing Ye","doi":"10.1016/j.landusepol.2025.107558","DOIUrl":"10.1016/j.landusepol.2025.107558","url":null,"abstract":"<div><div>The Tibetan Plateau’s scarce farmland plays an important role in the livelihoods of its inhabitants. In the Yarlung Zangbo River Basin (YZRB), a key agricultural region on the plateau, the intricate natural environment and various human activities pose serious threats to the quantity and quality of farmland. Therefore, identifying the mechanisms behind farmland loss is essential to address these challenges effectively. Herein, we aimed to describe the spatial-temporal pattern of farmland change and assess the impact of natural and socioeconomic factors on farmland loss in the YZRB. We assessed the area of farmland loss based on the land use/land cover data with a resolution of 30 m. Given the diverse natural and socioeconomic environments within the YZRB, we employed geographically weighted logistic regression to explore the mechanisms of farmland loss across different ecogeographical regions. The findings revealed a steady decline in farmland area since 2000; significant farmland was lost to water and urban areas, while farmland replenished from grassland and forest was relatively minimal. The analysis highlighted the coupled impact of climate change and human activities on farmland loss in the main YZRB, particularly in agriculturally developed areas such as the shrub-steppe region. Socioeconomic development, administration, and policies influenced farmland loss in less agriculturally developed regions such as the alpine steppe, coniferous forest, and broadleaved forest regions. This research focuses on the critical issue of farmland loss in typical agricultural regions of the Tibetan Plateau and emphasizes the apparent spatial heterogeneity in the loss mechanisms, which could support the region-specific strategies in the management and decision-making of YZRB farmland.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107558"},"PeriodicalIF":6.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The diffusion of digital technologies in landscape planning – A scoping literature review","authors":"Beata Dreksler ,&nbsp;Katarzyna Rędzińska ,&nbsp;Piotr Rędziński ,&nbsp;Salpy Nalbandian","doi":"10.1016/j.landusepol.2025.107549","DOIUrl":"10.1016/j.landusepol.2025.107549","url":null,"abstract":"<div><div>This study investigates digital technologies (DT) in landscape planning (LP). The aim, was to systematically map and assess the degree of use of digital technologies in, landscape planning as well as propose guidance for further research, We performed a scoping review of 53,114 papers published from January 2012 until, May 2023. We followed the PRISMA-ScR framework, combined with semi-automated, data charting and bibliometric analysis. This approach allowed us to identify and, classify relevant literature, technology trends, and correlations between different DT.The algorithms we developed can be used to monitor DT in LP. By comprehensive, analysis, we identified trends and their dynamics over the last decade, the direction of technological evolution, and correlations between the technologies. We identified 35 technologies, which we grouped into 12 categories: Remote Sensing (RS); Geographical Information Systems (GIS); Other Digital Modelling (mathematical and statistical); Artificial Intelligence Related (AI-Related); Information and Communication Technologies (ICT); 3D Modelling; Data; Decision Support Systems (DSS); Robotic; Virtual Reality/Augmented Reality/Mixed Reality (VR/AR/MR); Social Media; and Computer Aided Design (CAD). Our analysis revealed that only a few are currently integral to the planning process (RS, GIS, Other Digital Modelling, AI-Related, and 3D Modelling), whereas others, such as AI and data technologies, now rapidly evolving, have started to expand their application. Machine Learning (ML) and RS are the most dynamically growing technologies while emerging technologies include Other ICT, BIM, VR/AR/MR, and Social Media. The most prominent reciprocal correlation is between Data – RS – AIRelated. This study's significance lies in its comprehensive mapping of digital technologies in landscape planning, which provides valuable insights for planners, policymakers, and researchers. Major conclusions reveal that more knowledge of technologies explicitly targeting the LP is needed, including understanding and associating their feasibility and application for different process phases and smooth overall workflow. While our scoping literature review provided comprehensive information on DT for the LP process, the next step is developing practical toolboxes</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107549"},"PeriodicalIF":6.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Factors influencing people’s knowledge, attitude, and practice in land use dynamics: A case study in Ca Mau province in the Mekong delta, Vietnam” [Land Use Policy 72 (2018) 227–238]","authors":"Hanh Tran ,&nbsp;Quoc Nguyen ,&nbsp;Matthieu Kervyn","doi":"10.1016/j.landusepol.2025.107564","DOIUrl":"10.1016/j.landusepol.2025.107564","url":null,"abstract":"","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107564"},"PeriodicalIF":6.0,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing global protected areas to address future land use threats to biodiversity","authors":"Running CHEN ,&nbsp;Yisong PENG ,&nbsp;Qiang REN ,&nbsp;Jiayu WU","doi":"10.1016/j.landusepol.2025.107560","DOIUrl":"10.1016/j.landusepol.2025.107560","url":null,"abstract":"<div><div>Biodiversity faces heightened threats due to increasing global urbanization and land use intensity. Protecting global biodiversity through optimized protected areas is essential, yet current studies encounter challenges in measuring biodiversity, analyzing threat effects, and defining optimization pathways. We propose a framework to assess the impact of future land use changes on biodiversity in protected areas. By simulating biodiversity changes under different pathways, we evaluate the potential of protected areas in covering hotspots of natural habitats and biodiversity loss. Three scenarios (enhance protection management, optimize spatial distribution, improve global coverage) are compared to mitigate biodiversity loss. Our results found that future land use changes will lead to a decrease of 0.84 % and 0.97 % in richness and abundance. Compared to improving coverage, enhancing management and spatial optimization can also improve protection effectiveness. This study aids in identifying threats and optimizing pathways for global conservation efforts, advancing our understanding and capacity to address future conservation needs.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107560"},"PeriodicalIF":6.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intrinsic and extrinsic attributes in real estate pricing: Insights for sustainable urban planning strategies","authors":"Maria Rosaria Guarini ,&nbsp;Antonella Roma ,&nbsp;Emma Sabatelli ,&nbsp;Alejandro Segura-de-la-Cal","doi":"10.1016/j.landusepol.2025.107543","DOIUrl":"10.1016/j.landusepol.2025.107543","url":null,"abstract":"<div><div>The research explores the relationship between extrinsic and intrinsic factors and housing prices in order to determine their effect in price formation in the housing market and consequently also on urban planning. Based on a sample of 3683 dwellings in Rome, the urban and structural variables influencing supply prices have been analyzed. The methodology used combined web scrapping, geo-referencing of dwellings, decision tree analysis and the use of variance analysis models in order to obtain scalable results for other European cities. The results describe a situation regarding the formation of asking prices in the real estate market, which outlines the relationship between primary real estate properties and public services considered essential for peoples quality of life. These findings provide insights that contribute to optimizing the options available to decision-makers in urban planning strategies and the real estate market.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"153 ","pages":"Article 107543"},"PeriodicalIF":6.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of farmer’s resources, capabilities and perceptions on reforestation and forest cover in the Atlantic Forest","authors":"Júlia Ramos Nardy ,&nbsp;Anna Duden ,&nbsp;Alexandre Camargo Martensen ,&nbsp;Kène Henkens ,&nbsp;Pita Verweij ,&nbsp;René Verburg","doi":"10.1016/j.landusepol.2025.107559","DOIUrl":"10.1016/j.landusepol.2025.107559","url":null,"abstract":"<div><div>In the context of the UN Decade of Ecosystem Restoration (2021–2030), insights are urgently needed on how to engage land users in reforestation efforts. This study examined the resources, capabilities and perspectives of land users, i.e., farmers, in relation to reforestation in the Brazilian Atlantic Forest (BAF), an ecoregion that hosts 70 % of the Brazilian population while is also a biodiversity hotspot with only 28 % of native vegetation cover remaining. 78 % of the territory of this ecoregion is occupied by rural private properties, indicating the importance of on-farm forest restoration. We studied the pathways of how variation in forest cover can be explained by farmers’ perceptions of incentives, like pro-nature attitudes, and farmers’ resources and capabilities to engage in reforestation. Data were collected through a quantitative survey involving 257 farmers and their properties and forest cover derived from geo-spatial imagery. Using multiple regression models that underlie a path analysis, we found small and non-significant effects of both positive and negative perceptions of farmers on forest cover, but in combination with farmers’ resources and capabilities, these models could explain up to 36 % of variation on forest cover. The capability “slope”, as a proxy for production suitability, and the resource “farm size”, as a proxy for available capital, were always highly positively associated with forest cover in the models excluding and including farmers’ perceptions. These results highlight that reforestation decision making of farmers is complex and should be assessed accordingly, since it does not only regard the perceptions of the forest itself, but also the available resources and capabilities for restoration. Forest conservation and restoration initiatives can benefit from considering the variables assessed in this study; resources, capabilities, and perceptions of incentives and pro-nature motivation, while potential solutions, such as positive policy mechanisms, need to consider the heterogeneity of land and different types of landowners.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107559"},"PeriodicalIF":6.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A land use policy analysis method for natural hazard risk management across a regional single-family housing inventory","authors":"Caroline J. Williams ,&nbsp;Rachel A. Davidson ,&nbsp;Joseph E. Trainor ,&nbsp;Meghan Millea ,&nbsp;Linda K. Nozick","doi":"10.1016/j.landusepol.2025.107554","DOIUrl":"10.1016/j.landusepol.2025.107554","url":null,"abstract":"<div><div>Managing a region’s natural hazard risk while also meeting demands for new development can be challenging. New development supports local governments’ tax revenues and other economic activities but may also lead to longer-term natural hazard losses if new construction is left unrestricted. Government entities commonly use land use policies to influence the location of new development. We developed a new land use policy analysis method that aims to assist planners and risk managers in disaster risk management by evaluating long-term housing development outcomes under different land use policy scenarios to reduce long-term natural hazard impacts. The computational method analyzes the spatial distribution of new housing, expected natural hazard losses, and property tax revenue impacts for a multidecadal projection period and multi-county region under alternative regional land use policy scenarios. While different risk management land use scenarios can be generated using this analysis method, we illustrate the method’s usefulness by comparing baseline housing development patterns with three disaster risk management land use policy scenarios in eastern North Carolina. These 30-year projections can inform planners and risk managers about how land use decisions can alter their region and their state’s vulnerabilities to natural hazard losses as well as the expected changes in property tax revenues.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"154 ","pages":"Article 107554"},"PeriodicalIF":6.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of urban growth dynamics using landscape expansion index: A study of 514 metropolitan cities from 1975 to 2020","authors":"Gajender Kumar Sharma,&nbsp;Vidya V. Ghuge","doi":"10.1016/j.landusepol.2025.107557","DOIUrl":"10.1016/j.landusepol.2025.107557","url":null,"abstract":"<div><div>Understanding urban growth dynamics is essential for assessing urbanization impacts, guiding long-term planning, and optimizing infrastructure development. This study examines urban growth across 514 metropolitan cities using Global Human Settlement Layer data from 1975, 1990, 2000, 2015, and 2020. The Landscape Expansion Index identifies three dominant growth patterns: edge expansion, infill growth, and outlying growth. The study findings reveal that edge expansion dominates North America and China, driven by policy and infrastructure investments. Infill growth is most prominent in South and Southeast Asia, particularly in high-density cities like Tokyo and Singapore, where rising land prices encourage vertical development. Outlying growth is widespread in African and Indian cities due to rapid population growth and affordable peripheral land. Europe and South America exhibit stable edge expansion from 1975 to 2020, reflecting slower urbanization. The Middle East and the Rest of Asia display mixed growth patterns influenced by ongoing urbanization and rising population demands. Oceania experienced outlying growth from 2015 to 2020 in expanding urban peripheries. The study highlights factors influencing urban growth, such as mean elevation, which negatively impacts urban growth, while proximity to water bodies increasingly facilitates expansion, particularly in coastal cities. Surrounding land availability limits outlying growth expansion and encourages densification. The analysis shows that edge expansion and infill growth exhibited significant vertical growth. The infill growth surged from 1.68 in 1990 to 3.21 in 2020, while edge expansion increased from 0.59 to 1.87 over the same period. Outlying growth displayed the lowest vertical growth, rising from 0.10 in 1990 to 0.90 by 2020. These findings highlight the need for strategic planning to balance growth and align development with environmental constraints for resilient cities. The present study provides valuable insights into the complex dynamics of urban growth and urban planning.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"153 ","pages":"Article 107557"},"PeriodicalIF":6.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in urban mapping of local climate zones for heat mitigation: A systematic review","authors":"G.A. Acosta-Fernández ,&nbsp;K.E. Martínez-Torres ,&nbsp;M.E. González-Trevizo ,&nbsp;M. Santamouris","doi":"10.1016/j.landusepol.2025.107540","DOIUrl":"10.1016/j.landusepol.2025.107540","url":null,"abstract":"<div><div>Local Climate Zones (LCZ) classification is an essential tool in addressing the environmental impacts of urbanization, particularly in mitigating Urban Heat Islands (UHI) and managing temperature variations. A systematic review was conducted using PSALSAR methodology, analyzing 126 publications from Scopus and Web of Science databases from 2018 to 2023. Recent advances in LCZ research were evaluated, with a focus on the increasing use of remote sensing and Geographic Information Systems (GIS) for landscape classification. The findings indicate that key urban geometry parameters, such as the Sky View Factor (SVF) and Height of Roughness Elements (HRE), are crucial for analyzing solar radiation and temperature control. The review highlights that 17.64 % of the studies are concentrated in high-income countries, underscoring the need for more representation from Latin American cities and other emerging economies. Despite data limitations, 15.68 % of the studies analyzed imperviousness and permeability. Research gaps in underrepresented regions emphasize the necessity of incorporating additional parameters such as Proportion of Woodland and Grass (PWG), Fraction of Vegetation Coverage (FVC), Normalized Difference Vegetation Index (NDVI), Built-up Area (BA), Floor Area Ratio (FAR), and Normalized Difference Building Index (NDBI) to enhance the LCZ classification framework. This research emphasizes the significant role of remote sensing and GIS in improving accuracy in local scale UHI studies. Integrating LCZ mapping into urban planning is essential for managing landscape heterogeneity and fostering sustainable development. Expanding access to open urban datasets and adopting innovative digital methods will further advance LCZ research globally.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"153 ","pages":"Article 107540"},"PeriodicalIF":6.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}