Pub Date : 2026-03-01Epub Date: 2025-11-25DOI: 10.1016/j.landurbplan.2025.105539
Shiqi Wei , Yihang Wang , Tianfang Xu , Vanessa R. Buzzard , Grant McCormick , Bo Yang , Tianlu Xia , Zhi-Hua Wang
Desert cities are simultaneously faced with the stress of excessive heat and water resource shortage. Urban greening and strategic irrigation are proven effective heat mitigation strategies through shading and evapotranspiration. For sustainable urban development, smart urban irrigation schemes are required to maintain an intricate balance of water conservation with cooling efficiency, a challenge particularly acute in arid regions. While urban land surface models are capable of simulating these trade-offs, their computational complexity and steep learning curve hinder practical application in urban planning. In this study, we develop a machine learning-based protocol driven by a physical urban land surface model to optimize irrigation of urban trees in arid cities with field measurements. An artificial neural network surrogate was trained and validated, yielding high fidelity to the physical model simulations of canopy temperature (R2 = 0.972) and soil moisture (R2 = 0.989). We then adopted a genetic algorithm to find Pareto solutions by optimizing both the cooling and water use efficiencies of urban irrigation. The results of multi-objective optimization show that low-height trees with expansive crowns maximize shading-dominant cooling while dramatically reducing irrigation demand. These results challenge the reliance on water-intensive cooling strategies (e.g. lawns) and provide a scalable pathway to urban resilience to extreme heat and water scarcity.
{"title":"Machine learning-based multi-objective optimization of smart irrigation of urban trees in Arizona","authors":"Shiqi Wei , Yihang Wang , Tianfang Xu , Vanessa R. Buzzard , Grant McCormick , Bo Yang , Tianlu Xia , Zhi-Hua Wang","doi":"10.1016/j.landurbplan.2025.105539","DOIUrl":"10.1016/j.landurbplan.2025.105539","url":null,"abstract":"<div><div>Desert cities are simultaneously faced with the stress of excessive heat and water resource shortage. Urban greening and strategic irrigation are proven effective heat mitigation strategies through shading and evapotranspiration. For sustainable urban development, smart urban irrigation schemes are required to maintain an intricate balance of water conservation with cooling efficiency, a challenge particularly acute in arid regions. While urban land surface models are capable of simulating these trade-offs, their computational complexity and steep learning curve hinder practical application in urban planning. In this study, we develop a machine learning-based protocol driven by a physical urban land surface model to optimize irrigation of urban trees in arid cities with field measurements. An artificial neural network surrogate was trained and validated, yielding high fidelity to the physical model simulations of canopy temperature (R<sup>2</sup> = 0.972) and soil moisture (R<sup>2</sup> = 0.989). We then adopted a genetic algorithm to find Pareto solutions by optimizing both the cooling and water use efficiencies of urban irrigation. The results of multi-objective optimization show that low-height trees with expansive crowns maximize shading-dominant cooling while dramatically reducing irrigation demand. These results challenge the reliance on water-intensive cooling strategies (e.g. lawns) and provide a scalable pathway to urban resilience to extreme heat and water scarcity.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"267 ","pages":"Article 105539"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145584616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-01DOI: 10.1016/j.landurbplan.2025.105542
Piotr Krajewski, Justyna Weidgang, Joanna Lipsa, Monika Lebiedzińska
Understanding public preferences regarding landscapes is vital for effective spatial planning and landscape management. This study investigates the combined use of social media data (specifically Instagram images) and traditional surveys to identify socially valued landscapes in six diverse municipalities in Poland. A total of 48,386 Instagram images published in 2022 tagged with the names of selected localities in Lower Silesia were collected, of which 7,022 landscape-related, geolocated images were selected for content analysis. These data were complemented by a survey conducted among 126 residents. The results indicate a clear and consistent preference for forested and historic urban landscapes. Across the study area, 15,183 landscape elements were identified, with technical infrastructure being the most frequently occurring (3,271 instances, or 22%), followed by vegetation (19%), buildings (16%), and forest (11%). While Instagram users tended to highlight visual and aesthetic qualities, survey participants expressed a broader range of views, including concerns about environmental degradation and infrastructural shortcomings. This dual-method approach offers a more nuanced and comprehensive perspective on how different landscape types meet social, cultural, and recreational needs. By combining crowd-sourced visual data with residents’ qualitative insights, the study provides a robust evaluation of the most socially valued landscape types. The findings demonstrate the potential of integrating digital and conventional methods to support landscape policy development and participatory planning practices.
{"title":"Integrating social media and survey data to map social landscape value in diverse municipal contexts","authors":"Piotr Krajewski, Justyna Weidgang, Joanna Lipsa, Monika Lebiedzińska","doi":"10.1016/j.landurbplan.2025.105542","DOIUrl":"10.1016/j.landurbplan.2025.105542","url":null,"abstract":"<div><div>Understanding public preferences regarding landscapes is vital for effective spatial planning and landscape management. This study investigates the combined use of social media data (specifically Instagram images) and traditional surveys to identify socially valued landscapes in six diverse municipalities in Poland. A total of 48,386 Instagram images published in 2022 tagged with the names of selected localities in Lower Silesia were collected, of which 7,022 landscape-related, geolocated images were selected for content analysis. These data were complemented by a survey conducted among 126 residents. The results indicate a clear and consistent preference for forested and historic urban landscapes. Across the study area, 15,183 landscape elements were identified, with technical infrastructure being the most frequently occurring (3,271 instances, or 22%), followed by vegetation (19%), buildings (16%), and forest (11%). While Instagram users tended to highlight visual and aesthetic qualities, survey participants expressed a broader range of views, including concerns about environmental degradation and infrastructural shortcomings. This dual-method approach offers a more nuanced and comprehensive perspective on how different landscape types meet social, cultural, and recreational needs. By combining crowd-sourced visual data with residents’ qualitative insights, the study provides a robust evaluation of the most socially valued landscape types. The findings demonstrate the potential of integrating digital and conventional methods to support landscape policy development and participatory planning practices.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"267 ","pages":"Article 105542"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-30DOI: 10.1016/j.landurbplan.2025.105543
Miao Li , Huimin Liu
{"title":"Corrigendum to “Enhancing the cooling effect of urban green infrastructure: An empirical analysis of interactive impacts and optimizing pathways over 310 Chinese cities” [Landscape Urban Plann. 259 (2025) 105344]","authors":"Miao Li , Huimin Liu","doi":"10.1016/j.landurbplan.2025.105543","DOIUrl":"10.1016/j.landurbplan.2025.105543","url":null,"abstract":"","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"267 ","pages":"Article 105543"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145619635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-21DOI: 10.1016/j.landurbplan.2025.105536
Yi-Ya Hsu , Hoon Han
High-density and compact urban development have become popular globally, leading to volumetric changes in the built environment. However, knowledge of space use interaction in cities remains horizontally dominated. Therefore, beyond traditional land use study, this research aims to study how urban space use mixed within the 3D built environment. We explore the pattern of space uses in the 3D context from the scales of floors, buildings to local area, to better understand how volumetric urbanism shape cities. The City of Sydney in Australia is selected to capture the characteristics of 15 uses with a three-stage approach. The mixed-use degree, based on the Shannon Diversity Index, is crucial in determining the composition of uses within floors and buildings. The hidden pull and push dynamics among space uses illustrate the co-exist and spatial interaction of uses at floor and building scales. The co-agglomeration pattern of space uses from colocation analysis via ArcGIS Pro indicates neighbouring relationships, providing a foundation for the spatial interrelationship of uses for future 3D urban use modelling; while local colocation results indicate the geographical differences, enabling the identification of functional deficiencies in cities. For instance, green and open space was colocated with residential use but shows a local isolation pattern around the CBD, while office use was isolated from residential use but shows a local colocation pattern on the CBD edge. This research contributes to monitoring urban dynamics, supports sustainable governance practices, and advances volumetric perspectives, highlighting the essential transition from land use mix to floor use mix.
{"title":"Volumetric landscape: The mix characteristics and co-agglomeration of 3D space use in compact cities","authors":"Yi-Ya Hsu , Hoon Han","doi":"10.1016/j.landurbplan.2025.105536","DOIUrl":"10.1016/j.landurbplan.2025.105536","url":null,"abstract":"<div><div>High-density and compact urban development have become popular globally, leading to volumetric changes in the built environment. However, knowledge of space use interaction in cities remains horizontally dominated. Therefore, beyond traditional land use study, this research aims to study how urban space use mixed within the 3D built environment. We explore the pattern of space uses in the 3D context from the scales of floors, buildings to local area, to better understand how volumetric urbanism shape cities. The City of Sydney in Australia is selected to capture the characteristics of 15 uses with a three-stage approach. The mixed-use degree, based on the Shannon Diversity Index, is crucial in determining the composition of uses within floors and buildings. The hidden pull and push dynamics among space uses illustrate the co-exist and spatial interaction of uses at floor and building scales. The co-agglomeration pattern of space uses from colocation analysis via ArcGIS Pro indicates neighbouring relationships, providing a foundation for the spatial interrelationship of uses for future 3D urban use modelling; while local colocation results indicate the geographical differences, enabling the identification of functional deficiencies in cities. For instance, green and open space was colocated with residential use but shows a local isolation pattern around the CBD, while office use was isolated from residential use but shows a local colocation pattern on the CBD edge. This research contributes to monitoring urban dynamics, supports sustainable governance practices, and advances volumetric perspectives, highlighting the essential transition from land use mix to floor use mix.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"266 ","pages":"Article 105536"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145567396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-12DOI: 10.1016/j.landurbplan.2025.105534
Michelangelo Vuono , Domenico Paolo Di Lonardo , Christophe Schwartz , Fabio Terribile
Urbanization is projected to surpass 65% of the global population by 2050 and urban soils remain an overlooked yet crucial component for a sustainable development.
Here we present an analysis of the current state of research on urban soil health, focusing specifically on soils embedded within strictly urban environments (urban-affected soils).
Based on scientific literature review, this study systematically investigates 63 scientific papers published between 2008 and early 2025, examining various aspects of soil health research in urban environment including geographical distribution, land use, sampling depths, and soil health indicators. The results indicate a growing interest in urban soil health, particularly in recent years. The prevalence of research on this topic in specific regions of the world may be the result of the distribution of metropolitan areas, with the consequent enhance of awareness and importance of soil health in those regions.
The emphasis on chemical properties, particularly soil contamination, in the literature is consistent with historical trends, while the limited attention given to physical and biological properties calls for a more balanced approach. Ecosystem services, despite their recognized importance, are underutilized, urging a deeper exploration of specific services that contribute directly to human health. Sampling depth at soil profile scale emerged as a crucial factor, with a significant proportion of studies limited to the topsoil at depths of 20 cm or less. Considering the correlation between soil depth and ecosystem services, the findings emphasize the need for future research to explore greater sampling depths for a more comprehensive understanding of urban soil health.
Despite the growing interest in the field, urban soil health research remains shallow, both literally and conceptually. This work highlights the need for stronger collaboration between soil scientists and urban stakeholders, such as policymakers, planners, and the citizens. Bridging this communication gap will help shape research agendas and policies that address urban challenges, inform planning, and promote sustainable development.
{"title":"Advancing urban soil health: challenges, knowledge gaps, and future research perspectives","authors":"Michelangelo Vuono , Domenico Paolo Di Lonardo , Christophe Schwartz , Fabio Terribile","doi":"10.1016/j.landurbplan.2025.105534","DOIUrl":"10.1016/j.landurbplan.2025.105534","url":null,"abstract":"<div><div>Urbanization is projected to surpass 65% of the global population by 2050 and urban soils remain an overlooked yet crucial component for a sustainable development.</div><div>Here we present an analysis of the current state of research on urban soil health, focusing specifically on soils embedded within strictly urban environments (urban-affected soils).</div><div>Based on scientific literature review, this study systematically investigates 63 scientific papers published between 2008 and early 2025, examining various aspects of soil health research in urban environment including geographical distribution, land use, sampling depths, and soil health indicators. The results indicate a growing interest in urban soil health, particularly in recent years. The prevalence of research on this topic in specific regions of the world may be the result of the distribution of metropolitan areas, with the consequent enhance of awareness and importance of soil health in those regions.</div><div>The emphasis on chemical properties, particularly soil contamination, in the literature is consistent with historical trends, while the limited attention given to physical and biological properties calls for a more balanced approach. Ecosystem services, despite their recognized importance, are underutilized, urging a deeper exploration of specific services that contribute directly to human health. Sampling depth at soil profile scale emerged as a crucial factor, with a significant proportion of studies limited to the topsoil at depths of 20 cm or less. Considering the correlation between soil depth and ecosystem services, the findings emphasize the need for future research to explore greater sampling depths for a more comprehensive understanding of urban soil health.</div><div>Despite the growing interest in the field, urban soil health research remains shallow, both literally and conceptually. This work highlights the need for stronger collaboration between soil scientists and urban stakeholders, such as policymakers, planners, and the citizens. Bridging this communication gap will help shape research agendas and policies that address urban challenges, inform planning, and promote sustainable development.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"266 ","pages":"Article 105534"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-17DOI: 10.1016/j.landurbplan.2025.105535
Su Jin Du, Seung Hoon Lee, Yong Un Ban
Urban areas, as centers of dense human activity, are responsible for approximately 80% of global greenhouse gas (GHG) emissions. During the COVID-19, governments worldwide introduced social distancing policies that altered urban energy consumption patterns, particularly in high-density cities. This study investigated how the interaction between the intensity of social distancing policies and urban building density influenced GHG emissions in Seoul from January 2020 to December 2022. Using monthly panel data and fixed effects models, we analyzed five types of social distancing restrictions, categorized into facility-based and person-based limitations, in conjunction with building density measured by the floor area ratio at the building polygon level. The analysis results revealed that accounting for the spatial heterogeneity in policy effects is critical. By explicitly modeling the interaction between policy intensity and built environment characteristics, we found that (1) stricter restrictions on non-essential and group event facilities were associated with increased GHG emissions in high-density areas; (2) restrictions on essential facilities and private meetings decreased GHG emissions as density increased; and (3) policy intensity’s effects on GHG emissions varied nonlinearly depending on the restriction type and the city’s spatial structure. These results demonstrate that the urban form significantly conditions the environmental effectiveness of social distancing policies, suggesting that increased regulatory intensity does not uniformly translate into lower emissions across all urban contexts. To ensure more effective urban environmental governance during public health crises, governments can optimize both infection control and environmental outcomes by designing policies that consider urban density and morphology.
{"title":"Interactive effects of COVID-19 social distancing policies and building density and their impact on GHG emissions in Seoul","authors":"Su Jin Du, Seung Hoon Lee, Yong Un Ban","doi":"10.1016/j.landurbplan.2025.105535","DOIUrl":"10.1016/j.landurbplan.2025.105535","url":null,"abstract":"<div><div>Urban areas, as centers of dense human activity, are responsible for approximately 80% of global greenhouse gas (GHG) emissions. During the COVID-19, governments worldwide introduced social distancing policies that altered urban energy consumption patterns, particularly in high-density cities. This study investigated how the interaction between the intensity of social distancing policies and urban building density influenced GHG emissions in Seoul from January 2020 to December 2022. Using monthly panel data and fixed effects models, we analyzed five types of social distancing restrictions, categorized into facility-based and person-based limitations, in conjunction with building density measured by the floor area ratio at the building polygon level. The analysis results revealed that accounting for the spatial heterogeneity in policy effects is critical. By explicitly modeling the interaction between policy intensity and built environment characteristics, we found that (1) stricter restrictions on non-essential and group event facilities were associated with increased GHG emissions in high-density areas; (2) restrictions on essential facilities and private meetings decreased GHG emissions as density increased; and (3) policy intensity’s effects on GHG emissions varied nonlinearly depending on the restriction type and the city’s spatial structure. These results demonstrate that the urban form significantly conditions the environmental effectiveness of social distancing policies, suggesting that increased regulatory intensity does not uniformly translate into lower emissions across all urban contexts. To ensure more effective urban environmental governance during public health crises, governments can optimize both infection control and environmental outcomes by designing policies that consider urban density and morphology.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"266 ","pages":"Article 105535"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145546283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-10-23DOI: 10.1016/j.landurbplan.2025.105522
Caitlin L. McLaughlin , Tijana Blanuša , Ross Cameron , Martin Lukac , Simone Pfuderer , Jacob Bishop
Domestic gardens worldwide cover approximately 15–30 % of residential urban space and with the appropriate plant composition, have potential to help manage urban water flows, regulate temperatures and air-pollution. However, the provision of these regulating ecosystem services depends upon the preferences and willingness of private garden owners to adopt environmentally beneficial planting, with associated traits that confer these benefits. This study tested whether the way information on beneficial plant traits is presented influences taxa choices. In an experimental online survey, participants were divided into two groups: one received only ‘system information’ (basic facts about environmental problems: climate change, urban flooding, and poor air quality, n = 208), while the other also received ‘action-related information’ (how to potentially address environmental problems by choosing plants with certain traits, n = 211). Receiving ‘action-related information’ significantly influenced plant taxa selection; fewer choices were made for ornamental plants without traits that are beneficial for flood or pollution mitigation. Additionally, participants concerned about climate change were more willing to choose environmentally beneficial taxa, regardless of information group. These findings indicate that pro environmental planting choices in domestic gardens can be encouraged by providing actionable information and linking to existing climate change concerns.
{"title":"Actionable information and climate change awareness drive consumer selection of environmentally beneficial garden plants","authors":"Caitlin L. McLaughlin , Tijana Blanuša , Ross Cameron , Martin Lukac , Simone Pfuderer , Jacob Bishop","doi":"10.1016/j.landurbplan.2025.105522","DOIUrl":"10.1016/j.landurbplan.2025.105522","url":null,"abstract":"<div><div>Domestic gardens worldwide cover approximately 15–30 % of residential urban space and with the appropriate plant composition, have potential to help manage urban water flows, regulate temperatures and air-pollution. However, the provision of these regulating ecosystem services depends upon the preferences and willingness of private garden owners to adopt environmentally beneficial planting, with associated traits that confer these benefits. This study tested whether the way information on beneficial plant traits is presented influences taxa choices. In an experimental online survey, participants were divided into two groups: one received only ‘system information’ (basic facts about environmental problems: climate change, urban flooding, and poor air quality, n = 208), while the other also received ‘action-related information’ (how to potentially address environmental problems by choosing plants with certain traits, n = 211). Receiving ‘action-related information’ significantly influenced plant taxa selection; fewer choices were made for ornamental plants without traits that are beneficial for flood or pollution mitigation. Additionally, participants concerned about climate change were more willing to choose environmentally beneficial taxa, regardless of information group. These findings indicate that pro environmental planting choices in domestic gardens can be encouraged by providing actionable information and linking to existing climate change concerns.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"266 ","pages":"Article 105522"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145340656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-14DOI: 10.1016/j.landurbplan.2025.105533
Thi-Thanh-Hien Pham, Ugo Lachapelle
Cities have increasingly been implementing greening initiatives in conjunction with residents and local community organizations, yet little is known about the household characteristics of people involved in greening small-scale and ordinary spaces. In this study, we investigate involvement in and uses of the Green Alleys of Montréal. These greening programs, originating with and maintained by residents, are not determined by city planning but rather by volunteers. We conducted a survey of residents (N = 400) living adjacent to 66 Green Alleys in one borough of the city. Between 20 % and 29 % of respondents were involved in vegetation planting, meetings, and Green Alley committees in the past, and are currently involved in maintenance. Walking and cycling, talking with neighbours, playing with children, and driving along alleys to park cars are the most frequent uses of Green Alleys. Common variables that are significant in involvement and usage include having children, being homeowners, and having alley-based friendships. Income is not the most important variable but, advanced levels of education, being part of a visible minority and parking-space ownership were of greater significance. This is because Green Alleys require no financial outlay from residents, but instead draw upon their skill sets, their sense of social cohesion, and their interests in long-term benefits. The Green Alley Programs are hence determined by localized social factors and raise questions about green space connectivity and who may not join the programs. We call for customizing the programs to address these questions, making the programs accessible for more neighbourhoods.
{"title":"Who particiates in greening everyday urban space? Understanding community-led urban greening through the case of the Green Alleys of Montréal (Canada)","authors":"Thi-Thanh-Hien Pham, Ugo Lachapelle","doi":"10.1016/j.landurbplan.2025.105533","DOIUrl":"10.1016/j.landurbplan.2025.105533","url":null,"abstract":"<div><div>Cities have increasingly been implementing greening initiatives in conjunction with residents and local community organizations, yet little is known about the household characteristics of people involved in greening small-scale and ordinary spaces. In this study, we investigate involvement in and uses of the Green Alleys of Montréal. These greening programs, originating with and maintained by residents, are not determined by city planning but rather by volunteers. We conducted a survey of residents (N = 400) living adjacent to 66 Green Alleys in one borough of the city. Between 20 % and 29 % of respondents were involved in vegetation planting, meetings, and Green Alley committees in the past, and are currently involved in maintenance. Walking and cycling, talking with neighbours, playing with children, and driving along alleys to park cars are the most frequent uses of Green Alleys. Common variables that are significant in involvement and usage include having children, being homeowners, and having alley-based friendships. Income is not the most important variable but, advanced levels of education, being part of a visible minority and parking-space ownership were of greater significance. This is because Green Alleys require no financial outlay from residents, but instead draw upon their skill sets, their sense of social cohesion, and their interests in long-term benefits. The Green Alley Programs are hence determined by localized social factors and raise questions about green space connectivity and who may not join the programs. We call for customizing the programs to address these questions, making the programs accessible for more neighbourhoods.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"266 ","pages":"Article 105533"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-03DOI: 10.1016/j.landurbplan.2025.105531
Haochun Guan , Wenting Zhang , Bo Huang , Yuan Xu , Wuyang Hong
Given accelerated urbanization and increasing residential mobility, optimizing urban environments to encourage low-carbon travel has attracted considerable attention. However, within complex urban systems, further research is needed to clarify how urban street-scape visual features interact with factors such as residents’ travel distances and origin-point characteristics—thereby influencing low-carbon travel behavior and associated carbon emissions. Taking Shenzhen—a megacity in China—as an example, this research integrates multi-source data to explore the underlying mechanisms influencing residents’ low-carbon travel behaviors. Specifically, we analyzed survey questionnaires collected from 3,976 urban park visitors and utilized deep learning algorithms to extract urban street-scape visual features from 137,000 street-view images. Moreover, localized carbon emission intensities for different transportation modes were applied to estimate the probabilities of residents’ travel mode choices and associated carbon emissions at a spatial grid scale across various urban locations. Our findings indicate that socio-demographic attributes, urban street-scape environmental features, neighborhood environmental characteristics, and travel distance significantly increase the likelihood of residents adopting low-carbon travel behaviors. Additionally, per capita carbon emissions of urban park visitors show a significant negative correlation with the green view index among urban street-scape visual features. Based on these findings, improving street-level green view index can effectively contribute to carbon emission reductions, and prioritizing enhancements in densely populated urban areas can yield even greater emission reduction benefits. This study offers a novel methodology and empirical evidence to support low-carbon development strategies in megacities.
{"title":"How urban street-scape visual features influence carbon emissions from residents visiting urban parks: A case study of Shenzhen, China","authors":"Haochun Guan , Wenting Zhang , Bo Huang , Yuan Xu , Wuyang Hong","doi":"10.1016/j.landurbplan.2025.105531","DOIUrl":"10.1016/j.landurbplan.2025.105531","url":null,"abstract":"<div><div>Given accelerated urbanization and increasing residential mobility, optimizing urban environments to encourage low-carbon travel has attracted considerable attention. However, within complex urban systems, further research is needed to clarify how urban street-scape visual features interact with factors such as residents’ travel distances and origin-point characteristics—thereby influencing low-carbon travel behavior and associated carbon emissions. Taking Shenzhen—a megacity in China—as an example, this research integrates multi-source data to explore the underlying mechanisms influencing residents’ low-carbon travel behaviors. Specifically, we analyzed survey questionnaires collected from 3,976 urban park visitors and utilized deep learning algorithms to extract urban street-scape visual features from 137,000 street-view images. Moreover, localized carbon emission intensities for different transportation modes were applied to estimate the probabilities of residents’ travel mode choices and associated carbon emissions at a spatial grid scale across various urban locations. Our findings indicate that socio-demographic attributes, urban street-scape environmental features, neighborhood environmental characteristics, and travel distance significantly increase the likelihood of residents adopting low-carbon travel behaviors. Additionally, per capita carbon emissions of urban park visitors show a significant negative correlation with the green view index among urban street-scape visual features. Based on these findings, improving street-level green view index can effectively contribute to carbon emission reductions, and prioritizing enhancements in densely populated urban areas can yield even greater emission reduction benefits. This study offers a novel methodology and empirical evidence to support low-carbon development strategies in megacities.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"266 ","pages":"Article 105531"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145434981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-07DOI: 10.1016/j.landurbplan.2025.105530
Yihao Wu , Jinpeng Yang , Zhenhua Li
Cities worldwide are experiencing unprecedented climate pressures that call for evidence-based adaptation planning and design strategies. An active area of research has emerged to explore how various adaptation policies mitigate the adverse economic impacts and help build resilience following adverse climate events. Following the PRSIMA protocol, this review systematically screened extensive relevant literature and ultimately include 108 original papers for bibliometric analysis. We reveal critical gaps in geographical coverage, hazard diversity, property types, and cascading impacts. Furthermore, a random-effects meta-analysis is conducted to compile 44 estimates of treatment effects on property values reported by quasi-experimental studies. We find that magnitude of vulnerability to hazard exposure decreased by 7.7% on average when equipped with adaptation measures. The results are robust to using implementation of adaptation as an alternative treatment definition. However, our review also reveals substantial heterogeneity, and even opposing effects amplifying vulnerability, where adaptation practices can trigger unintended consequences, prove cost-inefficient, or exacerbate preexisting inequalities. By synthesizing these empirical findings, we propose a four-quadrant policy matrix to explain the heterogeneity of adaptation effects, which is informative for policymakers designing concerted policy portfolios. Our review also outlines a roadmap for future research to unpack information channels and the interplay between different climate adaptation activities.
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