City and Environment Interactions最新文献

{"title":"Testing the drought and heat risk assessment framework for ecosystem Services of Urban Green Infrastructure","authors":"Raghid Shehayeb","doi":"10.1016/j.cacint.2026.100448","DOIUrl":"10.1016/j.cacint.2026.100448","url":null,"abstract":"<div><div>Urban green infrastructure (UGI) and their ecosystem services (ES) strengthen urban biodiversity and resilience—but are threatened by increasing drought and heat risks. This study applies the Drought and Heat Risk (DHR) Assessment Framework in an urban park in Plauen, Germany, using an indicator-based approach to assess multi-risks for selected ES. The risk system is first delineated by considering hazards, exposure, and vulnerability to define key endpoints and derive descriptors. Local stakeholders/experts in urban planning, UGI management, biodiversity conservation, water management, climate, meteorology, soil, and environmental science then appraise the system, select appropriate indicators, and define evaluation criteria with weights and thresholds. Risk indicators are calculated using station measurements, remote sensing, microclimate modeling, and GIS analysis. Multi-risks are evaluated with the TOPSIS method, aggregating risks for the provisioning, regulating, and cultural dimensions of ES. Empirical testing confirms that the framework is able to capture system complexity through interconnected multi-risk indicators with attributes from diverse tiers, while underscoring the need for flexible, multi-method approaches in the face of data limitations. The results, presented as sub-city spatial maps, offer decision makers valuable insights into the spatiotemporal risks affecting UGI's ES and support efforts to safeguard their benefits for both society and the environment.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100448"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Participatory environmentalism in practice: a mixed-methods analysis of stakeholder perceptions, participation and governance of urban green stewardship in a secondary city in Ghana","authors":"George Kwadwo Anane,&nbsp;Richmond Asamoah Sarfo","doi":"10.1016/j.cacint.2026.100458","DOIUrl":"10.1016/j.cacint.2026.100458","url":null,"abstract":"<div><div>Urban greening is increasingly recognised as a critical strategy for promoting environmental sustainability, climate resilience, and urban liveability, yet community participation remains poorly understood in rapidly urbanising secondary cities. This study examines stakeholders' perceptions, awareness, and participation, as well as the determinants of willingness to engage in urban greening in the Sunyani Municipality, Ghana. We used a convergent mixed-methods design, combining semi-structured interviews with planning officials and a KoBoToolbox survey of 129 residents. We analysed the data using descriptive statistics, Chi-square tests, binary logistic regression, and thematic analysis. The findings indicate low participation despite strong willingness to engage. Gender, educational attainment, and employment status significantly shaped willingness to participate, whereas limited awareness, weak institutional coordination, inadequate funding, and competing development priorities constrained engagement. The study concludes that strengthening participatory governance, environmental education, regulatory enforcement, and institutional collaboration is essential to advance sustainable urban green stewardship in Ghanaian secondary cities.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100458"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban green space engagement patterns and mental health in a Mediterranean City","authors":"Aikaterini Lilli,&nbsp;Athina Liana,&nbsp;Elisavet Tsekeri,&nbsp;Tryfon Daras,&nbsp;Dionysia Kolokotsa","doi":"10.1016/j.cacint.2026.100444","DOIUrl":"10.1016/j.cacint.2026.100444","url":null,"abstract":"<div><h3>Background</h3><div>Urbanization exacerbates mental health challenges, yet urban green spaces (GSs), including vegetated and coastal natural environments, offer potential mitigation through restorative effects. While structural GS indicators dominate research, patterns of actual use remain underexplored, particularly in Mediterranean contexts. This study examines associations between GS visitation patterns and mental well-being in a Mediterranean urban setting.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted among 718 adult residents of Chania, Greece. Data encompassed socio-demographics, GS accessibility and usage (frequency, duration, social context), and mental health via the General Health Questionnaire (GHQ-12). Analyses included descriptive statistics, chi-square tests, and ordinal logistic to examine associations between GS-related variables and mental health indicators.</div></div><div><h3>Results</h3><div>GS engagement was significantly associated with multiple mental health outcomes. Higher visit frequency, longer visit duration, and better perceived GS quality were generally linked to improved psychological well-being, including greater happiness, self-confidence, sleep stability, and daily functioning, as well as lower levels of stress, strain, depression, and feelings of worthlessness. GS-based physical activity was also associated with more favorable mental health indicators compared with gym-based activity.</div></div><div><h3>Conclusions</h3><div>Actual GS engagement, particularly frequent and prolonged visits, showed more consistent associations with favorable mental health indicators than GS availability alone. Urban planning strategies should therefore focus on creating accessible, attractive, and multifunctional GSs that promote regular and sustained use, thereby supporting mental well-being in Mediterranean urban environments. These findings underscore the need for behavior-focused interventions in GS–health research.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100444"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping urban heat risk in Tehran: a framework integrating hybrid downscaling, XAI, and fuzzy MCDM","authors":"Mohammad Ganjirad,&nbsp;Hossein Bagheri","doi":"10.1016/j.cacint.2026.100447","DOIUrl":"10.1016/j.cacint.2026.100447","url":null,"abstract":"<div><div>This study presents a framework for mapping urban heat stress risk in Tehran. It combines multi-year numerical simulations, machine learning downscaling, explainable AI, and multi-criteria decision-making. First, we produced 2-m air temperature (T2) fields using the Weather Research and Forecasting (WRF) model at 1-km resolution, driven by 0.25° boundary conditions. We then downscaled these fields to 100 m using XGBoost, with spectral indices, urban morphology, and topography as predictors. The XGBoost model achieved an R² of 0.96 on test data. When validated against independent weather stations, it improved R² from 0.73 (WRF alone) to 0.79, and reduced RMSE from 0.89 °C to 0.75 °C. SHapley Additive exPlanations (SHAP) analysis identified elevation, spatial coordinates, and slope as the dominant predictors. Next, we combined the multi-year downscaled T2 data (for heatwaves between 2019 and 2022) with demographic, socio-economic, and urban-structure indicators using a Fuzzy Analytic Hierarchy Process (FAHP). The resulting risk map reveals sharp spatial disparities. Northern districts—which have higher elevation and more green space—show very low to low risk. In contrast, central and southern districts face high to extreme risk. For example, District 10 has 84% of its area under extreme risk. Only 4% of Tehran's area falls into the very low risk category. This integrated framework offers a robust approach that can be adapted to other cities after context-specific recalibration (particularly of the FAHP weights). It supports the identification of high-risk zones and contributes to climate-resilient urban planning.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100447"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of China's Sponge City projects on urban thermal environments: a synthetic control approach","authors":"Yifu Ou,&nbsp;Xin Li,&nbsp;Anqi Zhang,&nbsp;Nan Xu,&nbsp;Kyung-Min Nam","doi":"10.1016/j.cacint.2026.100454","DOIUrl":"10.1016/j.cacint.2026.100454","url":null,"abstract":"<div><div>Various green development initiatives aiming at ecosystem restoration and natural disaster adaptation often highlight ancillary urban cooling effects as key co-benefits. However, the empirical literature on these cooling co-benefits and their underlying mechanisms remains limited. This study aims to fill this gap by focusing on China's Sponge City initiative as a case example. In particular, we examine the urban cooling effects associated with the initiative across a sample of 45 pilot cities over an 11-year period (2010 – 2020). Using a difference-in-differences design with 23 treated cities and 22 control cities, our group-level analysis reveals that the estimated cooling effects remain statistically insignificant overall. To account for potential intra-group heterogeneity, we further employ the synthetic control method, focusing on the 8 treated cities that demonstrate a satisfactory pre-treatment model fit. These city-specific results are consistent with our aggregate findings: in most cases, Sponge City projects do not yield statistically significant reductions in urban air temperature. The only exception is Xiamen, where summer-time urban air temperature declined by 0.18°C during the post-intervention period. A follow-up case study suggests that the urban cooling co-benefits of a given Sponge City project partly depend on consistent and systematic planning interventions for effective project scale-up and management. Given these findings, reaping the heat-mitigation potential of proposed Sponge City design concepts and principles seems to require increased efforts to promote best practices and mutual learning at multiple levels.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"31 ","pages":"Article 100454"},"PeriodicalIF":5.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographic scale in air quality clustering: A dynamic time warping approach for smarter city policies","authors":"Adam Booth ,&nbsp;Philip James ,&nbsp;Stephen McGough","doi":"10.1016/j.cacint.2026.100307","DOIUrl":"10.1016/j.cacint.2026.100307","url":null,"abstract":"<div><div>Toxic air pollutants such as PM2.5 and NO₂ have been linked to various health implications, including respiratory diseases, cardiovascular diseases, and cancers. With recent updates from the World Health Organisation introducing even stricter daily and annual exposure limits, the expectations placed upon governing bodies to better manage urban air quality have increased. It is suggested in this research that air quality may be better managed through the use of smart city infrastructure and data-driven techniques to introduce dynamic policy making. The primary goal of this study is to evaluate how clustering methods can be used to identify spatiotemporal patterns in air quality data that support more effective, location-specific interventions. In this research, it is proposed that agglomerative hierarchical clustering with dynamic time warping can provide a solution to identifying areas of similar spatiotemporal patterns, leading to targeted policies for each cluster. Three geographic areas are explored, which are mainland Taiwan, Beijing and Newcastle upon Tyne. These areas drastically differ in spatial scale, offering insight to the effectiveness of the method at different areas. Five pollutants are considered, which are CO, NO₂, O₃, PM2.5 and PM10. The results show that clustering is well-achieved in large spatial areas, however, the effectiveness degrades as the spatial scale decreases, suggesting that targeted policies at the city level may be most appropriate.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100307"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388283","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}

{"title":"Anthropogenic and urban controls on Japan’s surface warming over the past 130 years","authors":"Jihui Yuan ,&nbsp;Xiong Xiao ,&nbsp;Mostafa Mohajerani ,&nbsp;Fatemeh Salehipour Bavarsad ,&nbsp;Zhichao Jiao ,&nbsp;Jiale Chai ,&nbsp;Xiangfei Kong ,&nbsp;Yafeng Gao","doi":"10.1016/j.cacint.2026.100369","DOIUrl":"10.1016/j.cacint.2026.100369","url":null,"abstract":"<div><div>Japan has experienced substantial surface warming over the past 130 years, reflecting the combined influence of anthropogenic forcing, urbanization, and oceanic feedbacks. This study quantifies long-term relationships between decadal surface temperature anomalies and multiple environmental drivers—including greenhouse gases (CO₂), solar flux, land use (urban fraction, NDVI), aerosols (SO₂), urban morphology (building height, density, impervious surfaces), soil moisture, and sea surface temperature (SST)—from 1890 to 2020. Historical datasets from the Japan Meteorological Agency (JMA), CMIP6, MODIS, ERA5, and PLATEAU were integrated into a relational R–SQLite framework to ensure temporal consistency and reproducibility. Correlation and multivariate regression analyses revealed dominant positive associations with CO₂ (r = 0.991), urban fraction (r = 0.81), and SST (r = 0.92), which together explain &gt; 90% of the centennial-scale variance in a multiple regression model including these three drivers plus a linear time term (adjusted R² = 0.927). Urban morphological indicators (building height, population density, imperviousness) were positively associated with local warming, consistent with observed urban heat island (UHI) intensification. In contrast, soil moisture (r = –0.78) and aerosols (r = –0.172) provided transient cooling or masking effects. Vegetation greening (NDVI; r = 0.963) co-evolved strongly with warming but did not produce a detectable net mitigation effect at the national scale analyzed here, although localized cooling benefits remain likely—reflecting a “warming-induced greening” response. These results demonstrate that Japan’s long-term thermal evolution arises from synergistic interactions between greenhouse forcing and urban expansion, supporting the consideration of climate-adaptive urban morphology and land management policies (pending further validation through process-based modeling such as WRF-Urban).</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100369"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797479","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}

{"title":"Assessment of the impacts of urbanization on enhancing urban green space inequality and thermal condition of New Town, Kolkata, India","authors":"Basudeb Pyne ,&nbsp;Jaidul Islam ,&nbsp;Sasanka Ghosh ,&nbsp;Edris Alam","doi":"10.1016/j.cacint.2026.100363","DOIUrl":"10.1016/j.cacint.2026.100363","url":null,"abstract":"<div><div>The exponential growth of population over the past few decades has drastically changed the landscape, significantly impacting green space (GS) and ecosystem resilience. The urban expansion engulfs the GS and exerts a strong influence on land surface temperature (LST). This study aims to investigate the impact of urban expansion on GS loss and LST over the last 30 years using advanced GIS and RS techniques. The finding indicates a dramatic increase in built-up areas, from 0.01 km² to 25.14 km², while GS decreased 16.31% over the last 30 years, contributing to a LST rise from 28.35 °C to 44.67 °C. The land use dynamic degree index (LUDDI) highlights a haphazard urban development, with change intensity index (CII) showed an intensified development trend (1.55). Consequently, Per-Capita GS (PCGS_city) alarmingly declined from 8.87 m²/person in 2004 to 1.41 m²/person in 2024, aligning with the Gini index of inequality result. The findings reveal a positive correlation between GS loss and LST. The Green Space Land Index (GS_LandIndex) showing 9 mouzas fallen under &lt; 20% GS in New Town Action areas 1 and 2; this number is in an increasing trend, as a result of drastic LST change observed in the last decade, shifting from 32.82 °C to 44.67 °C, which exceeds the global typical UHI threshold and is directly related to global warming. Thus, the study portrays the urgent needs of GS management strategies, climate hazard management, and pollution control to ensure human health and urban sustainability in New Town, with broader implication for rapidly growing cities worldwide.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100363"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797482","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}

{"title":"Local climate zones as predictors of NO2 in Barcelona: Towards healthier and more sustainable cities","authors":"Wang Wenyu ,&nbsp;Moreno-Palmerola Natalia ,&nbsp;Termens Assumpció ,&nbsp;Maín-Nadal Aina ,&nbsp;Reche Cristina","doi":"10.1016/j.cacint.2026.100374","DOIUrl":"10.1016/j.cacint.2026.100374","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Although urban form shapes the neighbourhood-scale distribution of air pollutants, standard land-use datasets rarely capture this influence, and the mechanisms linking urban morphology to NO&lt;sub&gt;2&lt;/sub&gt; variability remain insufficiently understood.&lt;/div&gt;&lt;div&gt;This study evaluates the Local Climate Zone (LCZ) framework as a morphology-based approach to explain spatial variability in annual mean NO&lt;sub&gt;2&lt;/sub&gt; concentrations across the Metropolitan Area of Barcelona (Spain) in 2023. Twenty-two monitoring stations were buffered (500 m radius) and intersected with a high-resolution (100 m) LCZ map. Within each buffer, the relative cover of sixteen LCZ classes was summarized and analysed using principal component analysis (PCA), and the resulting components were regressed against measured NO&lt;sub&gt;2&lt;/sub&gt;.&lt;/div&gt;&lt;div&gt;The first principal component represents a dominant urban morphological gradient contrasting densely built environments (e.g., LCZ 2 – Compact Mid-rise; LCZ E – Bare Rock/Paved) with open and vegetated areas (e.g., LCZ 6 – Open Low-rise; LCZ A – Dense Trees; LCZ C – Scrubland). This gradient explains 59% of the spatial variance in NO&lt;sub&gt;2&lt;/sub&gt; (β = –2.62 µg m⁻&lt;sup&gt;3&lt;/sup&gt;, p &lt; 0.001), highlighting the central role of urban form in shaping pollutant distribution.&lt;/div&gt;&lt;div&gt;To further investigate the drivers of NO&lt;sub&gt;2&lt;/sub&gt; variability, an extended model incorporating process-based variables (building density, road density, and distance to coastline) was developed. This approach improved the explained variance to 72% and enhanced predictive performance (LOOCV R&lt;sup&gt;2&lt;/sup&gt; = 0.58; RMSE = 4.65 µg m⁻&lt;sup&gt;3&lt;/sup&gt;; MAE = 3.84 µg m⁻&lt;sup&gt;3&lt;/sup&gt;), highlighting the importance of explicitly accounting for emission-related and structural factors. Road density emerged as the most influential predictor, reinforcing the role of traffic-related emissions in shaping local NO&lt;sub&gt;2&lt;/sub&gt; patterns.&lt;/div&gt;&lt;div&gt;Application of the calibrated model to the LCZ composition produced a continuous NO&lt;sub&gt;2&lt;/sub&gt; surface (1–57 µg m⁻&lt;sup&gt;3&lt;/sup&gt; at 100 m resolution). Most urban land (∼56%) falls within the 20–30 µg m⁻&lt;sup&gt;3&lt;/sup&gt; range, while higher concentrations (&gt;40 µg m⁻&lt;sup&gt;3&lt;/sup&gt;) are associated with compact urban areas and traffic-intensive areas. While both models reproduce the general spatial structure of NO&lt;sub&gt;2&lt;/sub&gt;, the extended model captures greater spatial variability and a higher representation of local high-concentration areas, whereas the LCZ-based model produces smoother gradients.&lt;/div&gt;&lt;div&gt;These findings should be interpreted as spatial associations rather than direct causal effects, as urban morphology co-occurs with other factors such as traffic intensity, transport infrastructure, land-use functions, and long-term urban development patterns.&lt;/div&gt;&lt;div&gt;These results demonstrate that LCZ composition can be reduced to a physically interpretable morphological gradient that explains a substantial fraction of NO&lt;sub&gt;2&lt;/sub&gt; spatial","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100374"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147957041","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}

{"title":"Supporting urban planning with high-resolution climate data: development and testing of a new low-cost and user-oriented meteorological device (UrbanMobiClim) for mobile measurements and thermal comfort mapping","authors":"Claire Gallacher ,&nbsp;Paul Gallacher ,&nbsp;Valeri Goldberg ,&nbsp;Astrid Ziemann","doi":"10.1016/j.cacint.2026.100384","DOIUrl":"10.1016/j.cacint.2026.100384","url":null,"abstract":"<div><div>Addressing urban heat and its impact on outdoor spaces and human well-being is critical for developing sustainable cities, particularly in the context of climate change, which is increasing both the frequency and severity of heatwaves. Traditional climate monitoring devices which are used to measure meteorological variables affecting thermal comfort are often expensive and require significant technical expertise to operate, limiting their accessibility. In response to these challenges, this study presents the development of UrbanMobiClim, a low-cost and user-oriented meteorological device, designed for mobile measurements of thermal comfort. Built on an Arduino platform microcontroller with low-cost sensors and guided by German standards for meteorological devices, UrbanMobiClim aims to empower urban planners and other stakeholders with accessible data to inform evidence-based urban adaptation strategies. UrbanMobiClim was statistically compared against two reputable high-end devices from the Dresden University of Technology’s Chair of Meteorology and Arizona State University’s Sensable Heatscapes and Digital Environments (SHaDE) lab, demonstrating its suitability for measuring thermal comfort in both stationary and mobile applications. This study presents the results of these comparisons, alongside a comprehensive technical framework for replicating the device. By establishing a baseline for future iterations, UrbanMobiClim contributes to the development of accessible, reliable, and easy-to-use tools that facilitate citizen science initiatives and support local stakeholders to make informed decisions for enhancing urban livability and sustainability.</div></div>","PeriodicalId":52395,"journal":{"name":"City and Environment Interactions","volume":"30 ","pages":"Article 100384"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991025","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}