Pub Date : 2025-09-13DOI: 10.1016/j.cacint.2025.100246
Martina Garcia de Cezar , Séverine Tomas , Bruno Cheviron , Laurent Aprin
Accurately modelling urban microclimates is essential for developing effective mitigation strategies against urban overheating. This study assesses the potential of ANSYS Fluent to simulate an experimental urban canyon with vegetated planters, using three different simulation methods. The analysis focuses on accuracy, operational suitability, and an improved understanding of the physical mechanisms operating at the scale of an urban canyon. Numerical results related to radiative, thermal, and aerodynamic fluxes, are evaluated based on (i) experimental data obtained from a dense network of sensors and (ii) the physical consistency obtained in the spatial distribution of the variables analysed. Despite some discrepancies in spatial and temporal variations, the model demonstrated strong agreement with experimental data, with absolute errors in air temperature and relative humidity below 3 % on average (maximum 11 %). Radiation, as the most sensitive factor for daytime thermal comfort variation in the study area, highlights the importance of improving radiative exchange in the proposed models. While certain software limitations require user-defined functions, such as representation of average radiant temperature, thermal comfort indices and multiple vegetation heat source terms, the study underscores the tool’s capacity to generate detailed and high-resolution microclimate data. This rich numerical database improves our understanding of urban heat dynamics, paving the way for more efficient urban climate solutions.
{"title":"Exploring computational fluid dynamics to assess the role of vegetated planters in urban canyon microclimate regulation","authors":"Martina Garcia de Cezar , Séverine Tomas , Bruno Cheviron , Laurent Aprin","doi":"10.1016/j.cacint.2025.100246","DOIUrl":"10.1016/j.cacint.2025.100246","url":null,"abstract":"<div><div>Accurately modelling urban microclimates is essential for developing effective mitigation strategies against urban overheating. This study assesses the potential of ANSYS Fluent to simulate an experimental urban canyon with vegetated planters, using three different simulation methods. The analysis focuses on accuracy, operational suitability, and an improved understanding of the physical mechanisms operating at the scale of an urban canyon. Numerical results related to radiative, thermal, and aerodynamic fluxes, are evaluated based on (i) experimental data obtained from a dense network of sensors and (ii) the physical consistency obtained in the spatial distribution of the variables analysed. Despite some discrepancies in spatial and temporal variations, the model demonstrated strong agreement with experimental data, with absolute errors in air temperature and relative humidity below 3 % on average (maximum 11 %). Radiation, as the most sensitive factor for daytime thermal comfort variation in the study area, highlights the importance of improving radiative exchange in the proposed models. While certain software limitations require user-defined functions, such as representation of average radiant temperature, thermal comfort indices and multiple vegetation heat source terms, the study underscores the tool’s capacity to generate detailed and high-resolution microclimate data. This rich numerical database improves our understanding of urban heat dynamics, paving the way for more efficient urban climate solutions.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100246"},"PeriodicalIF":3.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-13DOI: 10.1016/j.cacint.2025.100243
Jean-Philippe Antoni , Tudal Sinsin , Igor Agbossou , Gilles Vuidel , Edouard Patault
The No Net Land Take (NNLT) policy seeks to halt the expansion of urbanised land to preserve soil quality and biodiversity. In France, this involves achieving zero net increase in artificial surfaces by 2050, with a mid-term objective of halving land take by 2030. This study examines the implications of NNLT for urban development and environmental preservation through a case study of two southeastern French territories: Grand Rovaltain and Aire Gapençaise. A data-driven cellular automata (CA) simulation model is employed to explore multiple development scenarios. This model integrates soil quality classifications (from 1 to 5) to assess the spatial dynamics of land use under NNLT constraints. The results indicate that while the policy restricts the spatial distribution of new developments, it does not inhibit overall housing and economic growth. Instead, development pressures tend to concentrate in rural and suburban transition zones, particularly those already vulnerable to sprawl. Soil quality thresholds significantly shape the spatial allocation of new growth, reinforcing the role of environmental parameters in guiding sustainable urban planning. The study offers three main contributions. First, it demonstrates the effectiveness of CA-based models in visualising land use outcomes under ecological constraints. Second, it highlights the potential to reconcile socio-economic development with environmental protection. Third, it stresses the importance of territorial dialogue to mitigate spatial inequalities that may emerge from the rigid application of NNLT policy. Overall, the study underscores the value of simulation-based planning tools in informing land use decisions and balancing competing territorial objectives under ambitious sustainability frameworks.
{"title":"Are soil conservation and “No Net Land Take” suitable for urban development? modeling and assessment in two French cases","authors":"Jean-Philippe Antoni , Tudal Sinsin , Igor Agbossou , Gilles Vuidel , Edouard Patault","doi":"10.1016/j.cacint.2025.100243","DOIUrl":"10.1016/j.cacint.2025.100243","url":null,"abstract":"<div><div>The No Net Land Take (NNLT) policy seeks to halt the expansion of urbanised land to preserve soil quality and biodiversity. In France, this involves achieving zero net increase in artificial surfaces by 2050, with a mid-term objective of halving land take by 2030. This study examines the implications of NNLT for urban development and environmental preservation through a case study of two southeastern French territories: Grand Rovaltain and Aire Gapençaise. A data-driven cellular automata (CA) simulation model is employed to explore multiple development scenarios. This model integrates soil quality classifications (from 1 to 5) to assess the spatial dynamics of land use under NNLT constraints. The results indicate that while the policy restricts the spatial distribution of new developments, it does not inhibit overall housing and economic growth. Instead, development pressures tend to concentrate in rural and suburban transition zones, particularly those already vulnerable to sprawl. Soil quality thresholds significantly shape the spatial allocation of new growth, reinforcing the role of environmental parameters in guiding sustainable urban planning. The study offers three main contributions. First, it demonstrates the effectiveness of CA-based models in visualising land use outcomes under ecological constraints. Second, it highlights the potential to reconcile socio-economic development with environmental protection. Third, it stresses the importance of territorial dialogue to mitigate spatial inequalities that may emerge from the rigid application of NNLT policy. Overall, the study underscores the value of simulation-based planning tools in informing land use decisions and balancing competing territorial objectives under ambitious sustainability frameworks.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100243"},"PeriodicalIF":3.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-11DOI: 10.1016/j.cacint.2025.100242
Prince Owusu, Benjamin Wiafe Asare, Bridget Aikins, Prince Yakohene Dogbe, Derrick Werekoh Asaah
Urban areas in Ghana are increasingly affected by the Urban Heat Island (UHI) phenomenon, driven by rapid urbanization and declining green spaces. This study examined public perceptions, awareness, and willingness to pay (WTP) for urban heat island mitigation through increased tree coverage in Accra and Kumasi. The study utilized a cross-sectional mixed-methods approach and incorporated the Contingent Valuation Method (CVM) to assess respondents WTP to mitigate the UHI. A structured questionnaire was administered to a total of 240 participants to gather their responses. Findings revealed that majority of the respondents acknowledged rising urban temperatures and viewed urban trees as important in temperature regulation. Approximately 88.75 % of respondents expressed willingness to pay for improved tree coverage, with a mean WTP of GHȼ26.78 (=$2.04, May 2025 exchange rate). Factors such as age, household size, and occupation negatively and significantly influenced WTP, while income had a positive effect. However, some respondents stated unemployment, mistrust in fund use, and poor tree maintenance as key barriers to contributing financially. These findings highlight the potential for citizen-supported financing mechanisms to enhance urban greening initiatives. Integrating such willingness into urban policy can strengthen climate resilience, support nature-based solutions, and advance global sustainability commitments, especially SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), and SDG 15 (Life on Land).
{"title":"Willingness to pay for urban heat Island mitigation through increased tree coverage: A contingent valuation study in Accra and Kumasi, Ghana","authors":"Prince Owusu, Benjamin Wiafe Asare, Bridget Aikins, Prince Yakohene Dogbe, Derrick Werekoh Asaah","doi":"10.1016/j.cacint.2025.100242","DOIUrl":"10.1016/j.cacint.2025.100242","url":null,"abstract":"<div><div>Urban areas in Ghana are increasingly affected by the Urban Heat Island (UHI) phenomenon, driven by rapid urbanization and declining green spaces. This study examined public perceptions, awareness, and willingness to pay (WTP) for urban heat island mitigation through increased tree coverage in Accra and Kumasi. The study utilized a cross-sectional mixed-methods approach and incorporated the Contingent Valuation Method (CVM) to assess respondents WTP to mitigate the UHI. A structured questionnaire was administered to a total of 240 participants to gather their responses. Findings revealed that majority of the respondents acknowledged rising urban temperatures and viewed urban trees as important in temperature regulation. Approximately 88.75 % of respondents expressed willingness to pay for improved tree coverage, with a mean WTP of GHȼ26.78 (=$2.04, May 2025 exchange rate). Factors such as age, household size, and occupation negatively and significantly influenced WTP, while income had a positive effect. However, some respondents stated unemployment, mistrust in fund use, and poor tree maintenance as key barriers to contributing financially. These findings highlight the potential for citizen-supported financing mechanisms to enhance urban greening initiatives. Integrating such willingness into urban policy can strengthen climate resilience, support nature-based solutions, and advance global sustainability commitments, especially SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), and SDG 15 (Life on Land).</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100242"},"PeriodicalIF":3.8,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-02DOI: 10.1016/j.cacint.2025.100241
Nisreen Abuwaer , Safi Ullah , Buri Vinodhkumar , Sami G. Al-Ghamdi
Summer is ideal for outdoor activities like walking; however, as extreme heat rises, these pleasant walks may gradually be overtaken by heat stress, compromising pedestrians’ comfort and safety at risk. This study investigates the implications of climate change on pedestrian thermal comfort by estimating future changes in thermal discomfort days and their potential impacts on walkability across Saudi Arabia and its major cities. The study uses the outputs of 27 bias-corrected high-resolution models from NASA’s NEX-GDDP-CMIP6 program to estimate projected changes in discomfort days with different thermal stress ranges during the near-future (2021–2040), mid-future (2041–2060), and far-future (2081–2100) periods under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. The study also estimates future urban population exposure to discomfort days in Saudi Arabia under the selected SSP scenarios. Future projections under various SSPs indicate a significant increase in very uncomfortable days across most parts of Saudi Arabia, with impacts intensifying inland by the end of the 21st century. Coastal regions, though expected to experience fewer uncomfortable days, will see an increase in days falling into higher discomfort ranges. Under the SSP5-8.5 scenario, the projected rise in extremely uncomfortable days, particularly across coastal and inland areas of Saudi Arabia, is predicted to substantially affect walkability and limit outdoor activity. In terms of urban environments, Jeddah, Dammam, and Madinah are projected to experience the highest levels of discomfort, reaching up to 35 °C under the SSP5-8.5 scenario by 2100. The projected urban population exposure is likely to be 1–8 million people-days in Saudi Arabia, with coastal cities experiencing the highest exposure in the future periods, particularly under high-emission scenarios. Our findings emphasize the critical need for adaptive urban planning to ensure outdoor spaces remain accessible and comfortable for pedestrians in a warming climate.
夏天是户外活动的理想季节,比如散步;然而,随着极端高温的上升,这些愉快的散步可能会逐渐被热应激所取代,从而危及行人的舒适和安全。本研究通过估算沙特阿拉伯及其主要城市未来热不适天数的变化及其对步行性的潜在影响,探讨了气候变化对行人热舒适的影响。该研究利用NASA nex - gdp - cmip6项目27个经过偏倚校正的高分辨率模型的输出,估算了在SSP1-2.6、SSP2-4.5和SSP5-8.5情景下,近未来(2021-2040)、中未来(2041-2060)和远未来(2081-2100)不同热应力范围下的不适日数的预估变化。该研究还估计了在选定的SSP情景下,沙特阿拉伯未来城市人口暴露于不适天数的情况。各种ssp的未来预测表明,沙特阿拉伯大部分地区非常不舒服的天气将显著增加,到21世纪末,对内陆的影响将加剧。沿海地区,虽然预计会经历更少的不舒服的日子,但会有更多的日子陷入更高的不适范围。在SSP5-8.5的情景下,预计极端不舒服天气的增加,特别是在沙特阿拉伯的沿海和内陆地区,预计将严重影响步行能力并限制户外活动。在城市环境方面,吉达、达曼和麦地那预计将经历最严重的不适,在SSP5-8.5情景下,到2100年将达到35°C。预计沙特阿拉伯的城市人口暴露量可能为100万至800万人日,沿海城市在未来一段时间内的暴露量最高,特别是在高排放情景下。我们的研究结果强调了适应性城市规划的迫切需要,以确保在气候变暖的情况下,室外空间对行人保持可达性和舒适性。
{"title":"Walkability under the influence of extreme temperatures: the impact of climate change on outdoor thermal discomfort in Saudi Arabia","authors":"Nisreen Abuwaer , Safi Ullah , Buri Vinodhkumar , Sami G. Al-Ghamdi","doi":"10.1016/j.cacint.2025.100241","DOIUrl":"10.1016/j.cacint.2025.100241","url":null,"abstract":"<div><div>Summer is ideal for outdoor activities like walking; however, as extreme heat rises, these pleasant walks may gradually be overtaken by heat stress, compromising pedestrians’ comfort and safety at risk. This study investigates the implications of climate change on pedestrian thermal comfort by estimating future changes in thermal discomfort days and their potential impacts on walkability across Saudi Arabia and its major cities. The study uses the outputs of 27 bias-corrected high-resolution models from NASA’s NEX-GDDP-CMIP6 program to estimate projected changes in discomfort days with different thermal stress ranges during the near-future (2021–2040), mid-future (2041–2060), and far-future (2081–2100) periods under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. The study also estimates future urban population exposure to discomfort days in Saudi Arabia under the selected SSP scenarios. Future projections under various SSPs indicate a significant increase in very uncomfortable days across most parts of Saudi Arabia, with impacts intensifying inland by the end of the 21st century. Coastal regions, though expected to experience fewer uncomfortable days, will see an increase in days falling into higher discomfort ranges. Under the SSP5-8.5 scenario, the projected rise in extremely uncomfortable days, particularly across coastal and inland areas of Saudi Arabia, is predicted to substantially affect walkability and limit outdoor activity. In terms of urban environments, Jeddah, Dammam, and Madinah are projected to experience the highest levels of discomfort, reaching up to 35 °C under the SSP5-8.5 scenario by 2100. The projected urban population exposure is likely to be 1–8 million people-days in Saudi Arabia, with coastal cities experiencing the highest exposure in the future periods, particularly under high-emission scenarios. Our findings emphasize the critical need for adaptive urban planning to ensure outdoor spaces remain accessible and comfortable for pedestrians in a warming climate.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100241"},"PeriodicalIF":3.8,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Climate change is bringing attention to low-impact mitigation solutions such as textile solar shading systems that could be more widely used or at least taken into consideration when taking actions to improve the urban environment. In fact, these systems have great potential, especially in historic centres and in areas with high population density. The main aim of this study is to provide a clear and complete picture on the use of textile solar shading in urban areas, critically analysing the most interesting literature with special attention to the impact on the liveability and usability of the urban environment and on the possible energy saving associated with air conditioning, in different climatic locations. From the collection of the research activities, the main considerations for a better design of this type of solar shading systems were summarized. Furthermore, in support of critical analysis of literature, quantitative indicators relating to the impact of textile solar shading systems on the reduction of the summer heat load on buildings, on the reduction of pedestrian thermal stress and on the reduction of pedestrian exposure to UV radiation were proposed and calculated in the three Mediterranean locations (Rome, Athens, Tripoli). From the simplified evaluations proposed, considering a perfectly horizontal and continuous sun sail, with a transmission coefficient equal to 0.1, compared to the case of absence of solar shading systems, an average reduction in the incoming heat flow between 50 % and 60 %; an average reduction in the thermal stress index between 10 % and 40 %; and a reduction in the Standard Erythemal Dose (SED) of nearly 90 % were obtained, for the aforementioned locations.
{"title":"Textile solar shading systems for reducing the negative impacts of solar radiation in urban areas: a critical review","authors":"Michele Rocca , Giacomo Salvadori , Francesco Leccese , Fabio Bisegna","doi":"10.1016/j.cacint.2025.100240","DOIUrl":"10.1016/j.cacint.2025.100240","url":null,"abstract":"<div><div>Climate change is bringing attention to low-impact mitigation solutions such as textile solar shading systems that could be more widely used or at least taken into consideration when taking actions to improve the urban environment. In fact, these systems have great potential, especially in historic centres and in areas with high population density. The main aim of this study is to provide a clear and complete picture on the use of textile solar shading in urban areas, critically analysing the most interesting literature with special attention to the impact on the liveability and usability of the urban environment and on the possible energy saving associated with air conditioning, in different climatic locations. From the collection of the research activities, the main considerations for a better design of this type of solar shading systems were summarized. Furthermore, in support of critical analysis of literature, quantitative indicators relating to the impact of textile solar shading systems on the reduction of the summer heat load on buildings, on the reduction of pedestrian thermal stress and on the reduction of pedestrian exposure to UV radiation were proposed and calculated in the three Mediterranean locations (Rome, Athens, Tripoli). From the simplified evaluations proposed, considering a perfectly horizontal and continuous sun sail, with a transmission coefficient equal to 0.1, compared to the case of absence of solar shading systems, an average reduction in the incoming heat flow between 50 % and 60 %; an average reduction in the thermal stress index between 10 % and 40 %; and a reduction in the Standard Erythemal Dose (SED) of nearly 90 % were obtained, for the aforementioned locations.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100240"},"PeriodicalIF":3.8,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144916451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-22DOI: 10.1016/j.cacint.2025.100239
Simon William Mkasimongwa , Stephen J. Livesley , Robert G. Ryan , Robyn Schofield
Air pollution events pose significant challenges to public health in Melbourne and Sydney, Australia’s most populous cities. This study evaluates publicly available data to understand the frequency of air pollution exceedance events beyond World Health Organization (WHO) guidelines, as well as national and state standards. The air quality of both cities generally complies with national standards but consistently fails to meet WHO air quality guidelines. Since 2000, Sydney recorded single-pollutant events on 43% of monitored days and multi-pollutant events on 14% of monitored days. In Melbourne, single-pollutant events were recorded on 42% of monitored days, and multi-pollutant events on 8%. In Sydney, NO2 exceeded WHO guidelines on 52% of monitored days, PM2.5 on 13%, PM10 on 4%, and O3 on 6%. In Melbourne, NO2 exceeded on 47% of monitored days, PM2.5 on 4%, PM10 on 6%, and O3 on 2%. Evaluating long-term, city-scale air quality is challenging due to significant variations in spatial and temporal data coverage, especially in Melbourne. Many monitoring stations have limited temporal coverage and do not consistently monitor all key pollutants, meaning the true extent of air pollution is likely not fully captured. Since 2017, Melbourne has had only five active monitoring stations, compared to over 15 in Sydney. This study demonstrates the urgent need for expanded air pollution monitoring networks in Australia’s largest cities and highlights the need for ongoing research into the impacts of multi- as well as single-pollutant exceedance events.
{"title":"Air pollution exceedance events in Melbourne and Sydney, Australia, between 2000 and 2024","authors":"Simon William Mkasimongwa , Stephen J. Livesley , Robert G. Ryan , Robyn Schofield","doi":"10.1016/j.cacint.2025.100239","DOIUrl":"10.1016/j.cacint.2025.100239","url":null,"abstract":"<div><div>Air pollution events pose significant challenges to public health in Melbourne and Sydney, Australia’s most populous cities. This study evaluates publicly available data to understand the frequency of air pollution exceedance events beyond World Health Organization (WHO) guidelines, as well as national and state standards. The air quality of both cities generally complies with national standards but consistently fails to meet WHO air quality guidelines. Since 2000, Sydney recorded single-pollutant events on 43% of monitored days and multi-pollutant events on 14% of monitored days. In Melbourne, single-pollutant events were recorded on 42% of monitored days, and multi-pollutant events on 8%. In Sydney, NO<sub>2</sub> exceeded WHO guidelines on 52% of monitored days, PM<sub>2.5</sub> on 13%, PM<sub>10</sub> on 4%, and O<sub>3</sub> on 6%. In Melbourne, NO<sub>2</sub> exceeded on 47% of monitored days, PM<sub>2.5</sub> on 4%, PM<sub>10</sub> on 6%, and O<sub>3</sub> on 2%. Evaluating long-term, city-scale air quality is challenging due to significant variations in spatial and temporal data coverage, especially in Melbourne. Many monitoring stations have limited temporal coverage and do not consistently monitor all key pollutants, meaning the true extent of air pollution is likely not fully captured. Since 2017, Melbourne has had only five active monitoring stations, compared to over 15 in Sydney. This study demonstrates the urgent need for expanded air pollution monitoring networks in Australia’s largest cities and highlights the need for ongoing research into the impacts of multi- as well as single-pollutant exceedance events.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100239"},"PeriodicalIF":3.8,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-21DOI: 10.1016/j.cacint.2025.100236
Patrick Bogaert , Noémie Huvelle , Axel Briffault , Olivier Brasseur
Air pollution caused by NO emissions related to traffic is a major environmental issue in the Brussels-Capital region. Using a large set of measurements collected from a citizen science campaign, this paper shows how such data help us to get an overview of the spatial distribution of NO levels over the region. Using two land use regression techniques, these levels were related to spatial proxies collected at the measurement locations. Comparing the proxies selected by each regression method offers deeper insights into the NO-proxies relationships and helps identify proxies that may have been overlooked in a simpler multilinear regression model. Results show that the multiple linear regression model is able to explain a major part of the variance of the data, while random forest regression performs slightly better, with performances that are on par with those found in the literature. However, both models tend to underestimate high concentrations that are occurring locally. Thanks to a comparison with the prediction results from a physics-based model, this could be related to the quality of the input traffic data, that are expected to play a major role as most of nitrogen oxides emissions in the Brussels-Capital region originate from road traffic.
{"title":"Modeling nitrogen dioxide concentrations using citizen science data: The case of the Brussels-Capital Region","authors":"Patrick Bogaert , Noémie Huvelle , Axel Briffault , Olivier Brasseur","doi":"10.1016/j.cacint.2025.100236","DOIUrl":"10.1016/j.cacint.2025.100236","url":null,"abstract":"<div><div>Air pollution caused by NO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions related to traffic is a major environmental issue in the Brussels-Capital region. Using a large set of measurements collected from a citizen science campaign, this paper shows how such data help us to get an overview of the spatial distribution of NO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> levels over the region. Using two land use regression techniques, these levels were related to spatial proxies collected at the measurement locations. Comparing the proxies selected by each regression method offers deeper insights into the NO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>-proxies relationships and helps identify proxies that may have been overlooked in a simpler multilinear regression model. Results show that the multiple linear regression model is able to explain a major part of the variance of the data, while random forest regression performs slightly better, with performances that are on par with those found in the literature. However, both models tend to underestimate high concentrations that are occurring locally. Thanks to a comparison with the prediction results from a physics-based model, this could be related to the quality of the input traffic data, that are expected to play a major role as most of nitrogen oxides emissions in the Brussels-Capital region originate from road traffic.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100236"},"PeriodicalIF":3.8,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-15DOI: 10.1016/j.cacint.2025.100235
Rahaf Yousef, István Valánszki
Green spaces (GS) promote positive people–place relationships, especially in residential areas. Availability of GS in Middle Eastern cities has been influenced by their unique political, socio-economic, cultural and environmental conditions. Despite this, research on GS availability in relation to city development context is still limited. This study examines the patterns of GS availability in Damascus’s residential areas and analyses its correlation with these areas’ development context. It classifies districts by urbanisation context and GS metrics, using content analysis, secondary data and NDVI analysis. Results showed that GS availability in Damascus is significantly influenced by urban history, geography and political-economic systems, underscoring current urban challenges faced by other major Middle Eastern cities. In Damascus, district groups were highly influenced by their historical background from the pre-mid-20th century and the political-economic system that developed later. The study revealed significant disparities between planned northern and western districts with better GS availability, and informal eastern and southern ones. These findings highlight the need for context-sensitive, multidisciplinary strategies to address GS disparities in Middle Eastern urban residential areas, including governance tools such as local GS councils and equity audits, to promote equitable access and strengthen people–place relationships.
{"title":"Beyond greens: Urban development and green space availability in residential areas of Damascus","authors":"Rahaf Yousef, István Valánszki","doi":"10.1016/j.cacint.2025.100235","DOIUrl":"10.1016/j.cacint.2025.100235","url":null,"abstract":"<div><div>Green spaces (GS) promote positive people–place relationships, especially in residential areas. Availability of GS in Middle Eastern cities has been influenced by their unique political, socio-economic, cultural and environmental conditions. Despite this, research on GS availability in relation to city development context is still limited. This study examines the patterns of GS availability in Damascus’s residential areas and analyses its correlation with these areas’ development context. It classifies districts by urbanisation context and GS metrics, using content analysis, secondary data and NDVI analysis. Results showed that GS availability in Damascus is significantly influenced by urban history, geography and political-economic systems, underscoring current urban challenges faced by other major Middle Eastern cities. In Damascus, district groups were highly influenced by their historical background from the pre-mid-20th century and the political-economic system that developed later. The study revealed significant disparities between planned northern and western districts with better GS availability, and informal eastern and southern ones. These findings highlight the need for context-sensitive, multidisciplinary strategies to address GS disparities in Middle Eastern urban residential areas, including governance tools such as local GS councils and equity audits, to promote equitable access and strengthen people–place relationships.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100235"},"PeriodicalIF":3.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-14DOI: 10.1016/j.cacint.2025.100237
Nazmul Huda , Tasnim Ahmed , Mahmud Hussain Masum , Nafis Faruque , Md. Shahinoor Islam
The present experimental research focuses on surface water quality adjacent to an urban landfill, Dhaka, Bangladesh, where collected samples were analysed in laboratories by assessing 19 physicochemical parameters, and advanced statistical techniques were performed to establish a Water Quality Index (WQI). Providing valuable insights into the spatial extent and characteristics of surface water pollution, the study intends to support local authorities in identifying high-risk zones for targeted water quality and in developing policies for monitoring waterbodies to ensure sustainable landfill management. Results indicated moderate total dissolved solids (TDS) (about 400 mg/L), low dissolved oxygen (DO) (less than 4 mg/L), and significant pollutant variability. Clustering indicated that the first one consisted of samples collected nearer to the landfill, exhibiting excessive chemical oxygen demand (COD), biochemical oxygen demand (BOD), and total suspended solids (TSS), while the second one contained samples collected farther away from the landfill, demonstrating superior water quality. The WQI categorized three samples as very bad 405 (WQI < 31) and seven as bad (WQI between 31 and 51.9), with the lowest value recorded as a WQI of 1.85 from a sewer. Principal component analysis (PCA) identified five principal components (PCs), with PC1, PC2, and PC3 accounting for 38.5 %, 21.38 %, and 16.35 of the total variance, respectively. These findings indicate the necessity for immediate measures: the establishment of engineered landfills, leachate treatment, and the enforcement of more stringent waste restrictions to mitigate health and environmental hazards around the urban landfill. The study’s scientific significance resides in its provision of a comprehensive WQI and specific pollution data, thereby augmenting the understanding of urban landfill effects on water quality in densely populated areas. The study has the potential to guide the development of policies for sustainable waste management, presenting a framework for reducing urban surface water pollution.
{"title":"Assessment of surface water quality using advanced statistical techniques around an urban landfill: A multi-parameter analysis","authors":"Nazmul Huda , Tasnim Ahmed , Mahmud Hussain Masum , Nafis Faruque , Md. Shahinoor Islam","doi":"10.1016/j.cacint.2025.100237","DOIUrl":"10.1016/j.cacint.2025.100237","url":null,"abstract":"<div><div>The present experimental research focuses on surface water quality adjacent to an urban landfill, Dhaka, Bangladesh, where collected samples were analysed in laboratories by assessing 19 physicochemical parameters, and advanced statistical techniques were performed to establish a Water Quality Index (WQI). Providing valuable insights into the spatial extent and characteristics of surface water pollution, the study intends to support local authorities in identifying high-risk zones for targeted water quality and in developing policies for monitoring waterbodies to ensure sustainable landfill management. Results indicated moderate total dissolved solids (TDS) (about 400 mg/L), low dissolved oxygen (DO) (less than 4 mg/L), and significant pollutant variability. Clustering indicated that the first one consisted of samples collected nearer to the landfill, exhibiting excessive chemical oxygen demand (COD), biochemical oxygen demand (BOD), and total suspended solids (TSS), while the second one contained samples collected farther away from the landfill, demonstrating superior water quality. The WQI categorized three samples as <em>very bad</em> 405 (WQI < 31) and seven as <em>bad</em> (WQI between 31 and 51.9), with the lowest value recorded as a WQI of 1.85 from a sewer. Principal component analysis (PCA) identified five principal components (PCs), with PC1, PC2, and PC3 accounting for 38.5 %, 21.38 %, and 16.35 of the total variance, respectively. These findings indicate the necessity for immediate measures: the establishment of engineered landfills, leachate treatment, and the enforcement of more stringent waste restrictions to mitigate health and environmental hazards around the urban landfill. The study’s scientific significance resides in its provision of a comprehensive WQI and specific pollution data, thereby augmenting the understanding of urban landfill effects on water quality in densely populated areas. The study has the potential to guide the development of policies for sustainable waste management, presenting a framework for reducing urban surface water pollution.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100237"},"PeriodicalIF":3.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-13DOI: 10.1016/j.cacint.2025.100234
Ali Najah Ahmed , Nouar AlDahoul , Nurhanani A. Aziz , Y.F. Huang , Mohsen Sherif , Ahmed El-Shafie
With the global population now exceeding 8 billion and 4.5 billion of whom residing in urban areas, rapid urbanization has contributed to a range of environmental and ecological challenges, notably the Urban Heat Island (UHI) effect. According to statistical data, the ten hottest years on record occurred between 2013 and 2022, underscoring the urgency of addressing urban heat issues. This study provides a comprehensive review of research on the UHI effect, analysing and classifying studies that utilize a variety of input–output datasets. It also examines predictive methods used to estimate UHI intensity, categorizing them into conventional machine learning (ML) algorithms, deep learning (DL) models, and hybrid approaches. While conventional ML algorithms remain widely used, DL and hybrid models have shown superior performance in predictive accuracy. This review aims to enhance understanding of recent advancements in UHI prediction techniques, identify limitations in current methodologies, and propose directions for future research.
{"title":"The urban heat Island effect: A review on predictive approaches using artificial intelligence models","authors":"Ali Najah Ahmed , Nouar AlDahoul , Nurhanani A. Aziz , Y.F. Huang , Mohsen Sherif , Ahmed El-Shafie","doi":"10.1016/j.cacint.2025.100234","DOIUrl":"10.1016/j.cacint.2025.100234","url":null,"abstract":"<div><div>With the global population now exceeding 8 billion and 4.5 billion of whom residing in urban areas, rapid urbanization has contributed to a range of environmental and ecological challenges, notably the Urban Heat Island (UHI) effect. According to statistical data, the ten hottest years on record occurred between 2013 and 2022, underscoring the urgency of addressing urban heat issues. This study provides a comprehensive review of research on the UHI effect, analysing and classifying studies that utilize a variety of input–output datasets. It also examines predictive methods used to estimate UHI intensity, categorizing them into conventional machine learning (ML) algorithms, deep learning (DL) models, and hybrid approaches. While conventional ML algorithms remain widely used, DL and hybrid models have shown superior performance in predictive accuracy. This review aims to enhance understanding of recent advancements in UHI prediction techniques, identify limitations in current methodologies, and propose directions for future research.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"28 ","pages":"Article 100234"},"PeriodicalIF":3.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}