How to balance protection and development? A comprehensive analysis framework for territorial space utilization scale, function and pattern.

The harmonious coexistence of man and nature is a universally recognized standard to test the rational utilization of multifunctional territorial space, and the planning of territorial space adapted to nature is a scientific guide to balance ecological protection and human development. This study focuses on the inevitable relationship between the scale, function and pattern of territorial space utilization (TSU), and puts forward a process research framework of "background evaluation-advantage comparison-optimization conduction". Based on the evaluation of resource and environment suitability, this paper determines the scale of multifunctional territorial space through the potential conflict identification model of TSU. The location entropy method is used to identify the advantageous functions of the county level, and the matching characteristics of the research results and the current situation are obtained by comparing them with the current plan. Finally, from the county functional zoning to the regional TSU pattern, the corresponding optimization conduction path is designed to form a new development and protection pattern. The empirical results of research area show that: (1) The study area is suitable for urban construction and agricultural production as a whole. The ecological protection is mainly at the general important level, and there is a moderate potential conflict between the development and protection of territorial space. The space scale of urban construction, agricultural production and ecological protection are accounted for 8.77%, 78.71% and 12.52%, respectively. (2) The advantageous function of TSU in county-level administrative units is dominated by single advantageous function, and the number of composite advantageous functions is generally small. The advantageous functional types determined by this research have a high matching with the current plan. (3) Based on the analysis of the scale structure and functional use of territorial space, this paper defines the ecological space that should be strictly protected and the agricultural and urban space that should be moderately developed for production and construction, and sets up elastic development areas. Finally, a strategic pattern of "one corridor, two screens, three circles and four zones" is conducive to the realization of the beautiful vision of the unification of protection and development.

The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model.

Based on the interrelationship between the built environment and spatial-temporal distribution of population density, this paper proposes a method to predict the spatial-temporal distribution of urban population density using the depth residual network model (ResNet) of neural network. This study used the time-sharing data of mobile phone users provided by the China Mobile Communications Corporation to predict the time-space sequence of the steady-state distribution of population density. Firstly, 40 prediction databases were constructed according to the characteristics of built environment and the spatial-temporal distribution of population density. Thereafter, the depth residual model ResNet was used as the basic framework to construct the behaviour-environment agent model (BEM) for model training and prediction. Finally, the average percentage error index was used to evaluate the prediction results. The results revealed that the accuracy rate of prediction results reached 76.92% in the central urban area of the verification case. The proposed method can be applied to prevent urban public safety incidents and alleviate pandemics. Moreover, this method can be practically applied to enable the construction of a "smart city" for improving the efficient allocation of urban resources and traffic mobility.

Assessment of ecological resilience in Nanchang based on "risk-connectivity-potential".

With the rapid development of urban construction, land for construction continues to expand and the ecological land is shrinking. There are various risks and degradation phenomena. The evaluation of urban ecological resilience thus becomes particularly important. From the perspective of urbanization-induced landscape changes, we evaluated the ecological resilience level of Nanchang from 2005 to 2020 by means of "risk-connectivity-potential" model, spatial autocorrelation model and kernel density assessment, as well as its spatial-temporal variations. The results showed that from 2005 to 2020, the spatial pattern of risk, connectivity, and potential subsystems in the study area was stable, with significant differences. The ecological risk was high in the middle and low in the east and west, while the spatial distribution of connectivity and ecological potential was opposite to the ecological risk, showing a pattern of low in the middle and high in the east and west. The overall level of ecological resilience was not high, with medium and low resilience levels as the main body. The low level continued to grow, and high value areas gradually decreased. The "high-high" cluster type of ecological resilience was decreasing, while the "low-low" cluster type was gradually increasing. Results of Kernel density assessment showed that the overall resilience level of Nanchang had little change, with obvious spatial difference. The number and distribution of different landscape types should be adjusted according to the characteristics of the ecological resilience level of different regions, in combination with the urban planning layout. The connectivity and agglomeration of spatial distribution of different landscape types should be changed to achieve the optimization and improvement of the overall regional ecological resilience level. The results could provide a theoretical basis for urban spatial planning and layout.

Evaluation of socio-economic-ecological environmental benefits of urban renewal projects based on the coupling coordination degree.

The success of urban renewal projects is attributed to the synergistic development of economic, social, and environmental sustainability. However, people often seek unilateral economic benefits and ignore the coupling and coordination degree of economy-social ecological and environmental benefits. This paper attempts to evaluate the success and sustainability of urban renewal projects based on the coupling coordination degree (CCD) of economic-social-ecological benefits. Firstly, this study relies on a literature review and structural interviews to build a coupling indicator system of economic-social-ecological benefits of urban renewal projects and calculates the weight of evaluation indicators based on the entropy method. Taking 15 urban renewal projects in Guangzhou as objects, this research measures their CCD and explores the coupling relationship. The research results show that (1) among the 60 comprehensive benefit evaluation indicator elements of urban renewal projects, the indicator element with a larger weight is " Education support facilities," the economic benefit indicator element with greater weight is "Regional housing price of renewal areas," and the ecological benefit indicator element with a large weight is "Vitality, and health of the urban landscape, and the characteristics of meeting the needs of residents of all ages." (2) From the project dimension, the evaluation value of the social, economic, and ecological environment benefits of different reconstruction projects have certain differences. From the perspective of the regional dimension, the CCD of comprehensive benefits of urban renewal projects has obvious regional differences. The projects with a high CCD are mostly distributed in the most economically developed regions. The economic and social benefits of the renewal projects located in the economic core of the city center are usually higher, but their eco-environmental benefits are not necessarily the highest. (3) The government should innovate the reconstruction mode of diversified development, improve the public participation mechanism, and build an efficient urban renewal ecosystem. This study concludes that the government should introduce relevant urban renewal policies to provide a theoretical basis and guidance for enterprises to participate in urban renewal projects.

The Role of the COVID-19 Crisis in Shaping Urban Planning for Improved Public Health: A Triangulated Study.

This paper aims to assess the impact of the COVID-19 pandemic on the link between urban planning practices and public health. A triangulated study was conducted to gain a comprehensive understanding of the topic. The first phase consisted of semi-structured interviews with health and urban planning experts, which were analyzed with the aid of Artificial Intelligence tools. The second phase involved an on-site investigation in the city of Algiers, including a survey, site visits, and a thorough analysis of the master plan for land use and urban planning. The findings emphasize the critical importance of a comprehensive health-centric approach to city design, improved governance and management practices, community involvement, and political commitment to prioritize health in urban planning. Furthermore, the results proved a strong correlation between prioritizing public health in urban planning practices and residents' satisfaction with the city's response to the COVID-19 pandemic. In conclusion, it is necessary to consider public health as a priority in urban planning practices and as a need for all stakeholders to work towards a healthier and more equitable urban environment.

Quantifying and analyzing the impact assessment on land use change of urban growth using a timeline.

Land use change occurs by altering natural landscape to manmade built environment. Rapid urban growth is the main factor for land use change at global level. Addis Ababa is one of the recent rapidly growing urban areas in Africa. Since 1983, the population has increased by nearly three times. However, the spatial expansion of the urban area has been much greater with urban sprawl, informal settlement, industry, condominium housing, and real estate development. The demand for urban land has been increasing at alarming rate both by city government, investors, and its residents. The city is primate and the population nine times the second largest city in the country. This study focused on quantifying and analyzing impact assessment of urban growth on land use change from 1986 to 2019. The study assessed the major change in extent and determinants of land use change through 33 years (1986-2019) and future growth scenario the next 30 years from 2019 to 2049. This study used Landsat image, base map of 1986, 1998, 2008, and 2019, to analyze built-up growth and land use change. Observation and interview have also taken to explore more on major urban growth and land use change driving factor from concerned bodies. The last, land use efficiency method was applied to measure land consumption rate and population growth rate. The result showed that in 1986, 1998, 2008, and 2019, built-up covered 21.83%, 42.31%, 59.42%, and 81.20% respectively. This shows that the agriculture and open space were rapidly changed to built-up by 32,486.67 hectares for housing, manufacturing, and infrastructure development. The result from concerned bodies has portrayed that the key determinants for urban land use change in the city were population growth at 4.2% per annum. Government led condominium housing, real estate development, and industrial development expansion including informal settlement has been rapidly reducing agriculture and open space through time. Therefore, unconventional planning approach could be exercised based on community interest for affordable high-rise building. Moreover, disseminate or decentralize industries beyond capital city in regional capital to reduce migration rate and rapid change of urban land use by creating employment opportunity and urban-urban linkage in the reginal capital rather than the capital city.

Mapping environmentally sustainable urban development within six US cities through object-based image change analysis of aerial orthoimagery.

The rapid expansion of cities and continuous urban population growth underscores a need for sustainable urban development. Sustainable development is that which addresses human needs, contributes to well-being, is economically viable, and utilizes natural resources at a degree sustainable by the surrounding environmental systems. Urban green spaces, green roofs, and solar panels are examples of environmentally sustainable urban development (ESUD), or development that focuses on environmental impact, but also presents the potential to achieve social and economic sustainability. The aim of this study was to map and compare amounts of ESUD c. 2010 and c. 2019 through an object-based image analysis (OBIA) approach using National Agricultural Imagery Program (NAIP) aerial orthoimagery for six mid- to large-size cities in the USA. The results of this study indicate a hybrid OBIA and manual interpretation approach applied to NAIP orthoimagery may allow for reliable mapping and areal estimation of urban green space and green roof changes in urban areas. The reliability of OBIA-only mapping and estimation of areal extents of existing green roofs, and new and existing solar panels, is inconclusive due to low mapping accuracy and coarse spatial resolution of aerial orthoimagery relative to some ESUD features. The three urban study areas in humid continental climate zones (Dfa) were estimated to have greater areal extent of new and existing urban green space and existing green roofs, but less areal extent of new green roofs and existing solar panels compared to the three study areas in humid subtropical climate zones (Cfa).

Long-term exposure to PM2.5 and O3 with cardiometabolic multimorbidity: Evidence among Chinese elderly population from 462 cities.

Cardiometabolic multimorbidity (CMM) refers to the presence of multiple cardiovascular and metabolic diseases (CMDs), such as hypertension, diabetes, and cardio-cerebrovascular diseases (CCVD), in the same individual, and has emerge as a significant global health concern due to population aging. Although previous research has demonstrated the association between cardiovascular and metabolic diseases and air pollutants, evidence on the link between CMM and air pollution exposure among Chinese older adults is limited. To address this research gap, we conducted a national representative survey of 222,179 adults aged 60 and older to investigate the epidemiology of CMM and its association with long-term exposure to PM2.5 and O3 in China's elderly population. We found that the prevalence of CMM among Chinese older adults was 16.9%, and hypertension and CCVD were the most common CMM cluster (10.8%). After adjusting for confounding variables, we observed a significant positive association between PM2.5 exposure and the prevalence of hypertension, diabetes, and CCVD, with a respective excess risk increase of 3.2%, 3.6%, and 5.5% for every 10-unit increase. Moreover, every 10-unit increase in PM2.5 was linked to a higher risk of hypertension and diabetes (2.2%), hypertension and CCVD (5.4%), diabetes and CCVD (5.6%), and hypertension, diabetes, and CCVD combined (7.6%). We also found a U-shaped curve relationship between O3 exposure and the occurrence of hypertension, diabetes, and CCVD, as well as different subtypes of CMM, with the lowest risk of O3 exposure was observed near 75-80 µg/m3. Furthermore, we identified that female and rural residents are more vulnerable to the health risks of air pollution than male and urban residents. Given the increasing aging of the population and rising prevalence of multimorbidity, policymakers should focus more attention on the female and rural elderly population to prevent and control CMM. This study provides compelling evidence that reducing air pollution levels can be an effective strategy to prevent and manage CMM among older adults.

Life Expectancy and Built Environments in the U.S.: A Multilevel Analysis.

INTRODUCTION: The purpose of this study is to examine the associations between built environments and life expectancy across a gradient of urbanicity in the U.S. METHODS: Census tract‒level estimates of life expectancy between 2010 and 2015, except for Maine and Wisconsin, from the U.S. Small-Area Life Expectancy Estimates Project were analyzed in 2022. Tract-level measures of the built environment included: food, alcohol, and tobacco outlets; walkability; park and green space; housing characteristics; and air pollution. Multilevel linear models for each of the 4 urbanicity types were fitted to evaluate the associations, adjusting for population and social characteristics. RESULTS: Old housing (built before 1979) and air pollution were important built environment predictors of life expectancy disparities across all gradients of urbanicity. Convenience stores were negatively associated with life expectancy in all urbanicity types. Healthy food options were a positive predictor of life expectancy only in high-density urban areas. Park accessibility was associated with increased life expectancy in all areas, except rural areas. Green space in neighborhoods was positively associated with life expectancy in urban areas but showed an opposite association in rural areas. CONCLUSIONS: After adjusting for key social characteristics, several built environment characteristics were salient risk factors for decreased life expectancy in the U.S., with some measures showing differential effects by urbanicity. Planning and policy efforts should be tailored to local contexts.

Social capital and women's narratives of homelessness and multiple exclusion in northern England.

Women experiencing three or more co-occurring issues (homelessness, substance misuse, mental health) are a highly vulnerable population associated with multimorbidity. Taking women's life stories of trajectories into social exclusion in the north of England as its focus, this paper aims to explore the complexity of social contexts in which women navigate extreme health inequalities. Of the few studies that have examined women's experiences of homelessness through the lens of social capital, most have focused on network size, rather than the quality and influence of the relationships which precipitate or contextualise experiences of social exclusion. We utilise case studies to offer a theoretically-grounded analysis which illustrates the relationship between social capital and homelessness within this population. Our results illustrate how structural contexts, and specifically social capital accrual and social bonding processes particularly pertinent to women can act to both ameliorate and perpetuate social exclusion. We conclude by arguing that health inequalities cannot be tackled as single-issue processes but instead are multi-layered and complex.

Quantitative spatial assessment of the impact of urban growth on the landscape network of Türkiye's coastal cities.

This study aims to evaluate the impact of urban spatial expansion on the landscape patterns of coastal cities in Türkiye through the use of spatio-temporal indices. To this end, temporal samples covering a period of approximately 30 years (1986-2000 and 2000-2015) were analyzed for six selected coastal cities in Türkiye. The urban spatial growth patterns in these cities were characterized using 17 geospatial indices, and Pearson's correlation coefficient and principal component analysis were employed to assess the quantitative relationships between urban spatial development and the fragmentation of landscape networks. The results of the study demonstrated that the patterns of landscape fragmentation caused by the spatial growth patterns of the selected coastal cities can be divided into two categories: disconnected landscape connections and perforated landscape patterns. Leapfrog development was identified as a major factor in the fragmentation of landscape continuity, leading to the formation of perforated green structures. The findings of this research can serve as spatial guidelines for addressing disconnected landscapes, a crucial factor in enhancing urban sustainability in Türkiye's coastal cities. Furthermore, the outcomes of this study may be useful for informing the national well-being strategy for urban planning and natural mitigating policies in Türkiye's coastal regions.

Healthy City Community Space-Oriented Structural Planning and Management Optimization under COVID-19.

This work studies ways of Healthy City Construction (HCC) and Urban Governance Optimization (UGO) during the COVID-19 pandemic. The specific urban community space planning structure is proposed following a literature review on the healthy city's theoretical basis and historical development. Then, the proposed HCC-oriented community space structure is tested by surveying residents' physical and mental health and infectious risk using a questionnaire survey and Particle Swarm Optimization (PSO). Specifically, the particle fitness is calculated according to the original data conditions, and the community space with the highest fitness is determined. Based on the calculation, the community space's neighbors are investigated from different aspects through a questionnaire survey on patients' daily activities and community health security coverage. The results showed that: (1) The score of daily activities of community patients with respiratory diseases was 2312 before the implementation of the proposed community structure and 2715 after the implementation. Therefore, the service quality of residents increases after implementation. (2) The proposed HCC-oriented community space structure improves the physical self-control ability of chronic patients and helps them reduce their pain. This work aims to create a people-oriented healthy city community space, improve the city's "immune system," and regenerate the energy and environmental sustainability of the urban living environment.

Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements.

Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of "how to dynamically judge the different thresholds of different indicators of PLES" plays an indispensable role in the studies of the multi-scenario simulation of land space changes and needs to be tackled in an appropriate way, given that the process simulation of key elements that affect the evolution of urban systems is yet to achieve complete coupling with PLES utilization configuration schemes. In this paper, we developed a scenario simulation framework combining the dynamic coupling model of Bagging-Cellular Automata (Bagging-CA) to generate various environmental element configuration patterns for urban PLES development. The key merit of our analytical approach is that the weights of different key driving factors under different scenarios are obtained through the automatic parameterized adjustment process, and we enrich the study cases for the vast southwest region in China, which is beneficial for balanced development between eastern and western regions in the country. Finally, we simulate the PLES with the data of finer land use classification, combining a machine learning and multi-objective scenario. Automatic parameterization of environmental elements can help planners and stakeholders understand more comprehensively the complex land space changes caused by the uncertainty of space resources and environment changes, so as to formulate appropriate policies and effectively guide the implementation of land space planning. The multi-scenario simulation method developed in this study has offered new insights and high applicability to other regions for modeling PLES.

Can new energy demonstration city policy reduce carbon emissions? A quasi-natural experiment from China.

Against achieving carbon peaking by 2030 and carbon neutrality by 2060 context in China, the new energy demonstration city policy (NEDCP) has a crucial function to perform in promoting resource utilization efficiency, building the green development policy system, and facilitating carbon emission reduction. However, existing research has rarely investigated the contribution of NEDCP on carbon reduction. To investigate the policy effect of NEDCP, the differences-in-differences (DID) model is introduced to quantify the influence of NEDCP on carbon reduction, taking a statistical sample of 285 Chinese cities over the period 2005-2017 on the basis of exploring the intrinsic mechanism of NEDCP on carbon emissions. The statistical results reveal that NEDCP significantly inhibits carbon emissions. NEDCP's dampening impact on carbon reduction is more pronounced in the eastern area but not in other areas. City size and resource endowment heterogeneity results suggest that NEDCP significantly inhibits the output of carbon emissions in non-resource-based and large cities but insignificantly in resource-based and small- and medium-sized cities. Finally, we conclude that policy-makers should not only broaden the scope of NEDCP implementation continuously but also design relevant policy combination tools following the basic characteristics of each city to provide institutional guarantees for achieving carbon emission reduction.

Linking Urban Planning, Community Environment, and Physical Activity: A Socio-Ecological Approach.

Lack of physical activity is a growing concern among public health advocates and urban planners. Our socio-ecological model incorporates urban planning and World Health Organization actions on physical activity to identify key factors related to leisure-time physical activity at the community level. Our 2019 nationwide US survey of 1312 communities enables examination of the influence of individual, community, and policy levels on physical activity. Individual factors-poverty, aging, minority population, and longer commuting time-result in lower physical activity. Community-level factors have both positive and negative effects. Physical activity is lower in rural and suburban communities, but higher in communities with more transportation services, recreation and social activities, and safety. Communities with mixed-use neighborhoods and complete streets also show higher levels of physical activity. At the policy level, zoning and cross-agency collaboration have an indirect effect on physical activity by increasing these community-level factors. This suggests an alternative approach to promoting physical activity. Local governments can promote transportation, recreation and safety, especially in rural and minority communities lacking active-friendly built environments and facing challenges from aging population, poverty, and longer commuting time. This socio-ecological approach can assess multilevel factors related to physical activity in other countries.

Community Environment Co-Production and Environmental Satisfaction of Older Urban Residents in Shanghai, China.

OBJECTIVE: Many factors may affect the environmental satisfaction of elderly people, including their sense of involvement. This study examined the associations between community environment co-production and environmental satisfaction in older urban residents in China. METHODS: A cross-sectional survey was conducted in four age-friendly communities in Shanghai, China. Co-production and environmental satisfaction were assessed through a self-developed questionnaire. General health status was measured through the EuroQol-Visual Analogue Scale (EQ-VAS). Data on affective commitment for the community demographic and health-related factors were also collected. Multilevel linear regression was used to detect the associations. RESULTS: In total, 480 older urban residents completed the survey. On average, the environment satisfaction score was 76.82/90, 8/10 for co-production, and 87.5/100 for EQ-VAS. Univariate analysis demonstrated environmental satisfaction was associated with educational background, party membership, physical activity, community location, age, sleep hours, co-production, affective commitment, and EQ-VAS. After controlling for confounding factors, the co-production score was significantly associated with higher environmental satisfaction (ß = 4.68, p < 0.001). Multiple linear regression revealed that effective commitment for the community (ß = 6.17, p < 0.001) and EQ-VAS (ß = 0.06, p = 0.002) were also significantly associated with environment satisfaction. CONCLUSION: Community environment co-production was positively associated with environmental satisfaction among older urban residents in Shanghai. Environmental co-production should be encouraged when developing age-friendly communities for the elderly.

A Survey of the Landscape Visibility Analysis Tools and Technical Improvements.

Visual perception of the urban landscape in a city is complex and dynamic, and it is largely influenced by human vision and the dynamic spatial layout of the attractions. In return, landscape visibility not only affects how people interact with the environment but also promotes regional values and urban resilience. The development of visibility has evolved, and the digital landscape visibility analysis method allows urban researchers to redefine visible space and better quantify human perceptions and observations of the landscape space. In this paper, we first reviewed and compared the theoretical results and measurement tools for spatial visual perception and compared the value of the analytical methods and tools for landscape visualization in multiple dimensions on the principal of urban planning (e.g., complex environment, computational scalability, and interactive intervention between computation and built environment). We found that most of the research was examined in a static environment using simple viewpoints, which can hardly explain the actual complexity and dynamic superposition of the landscape perceptual effect in an urban environment. Thus, those methods cannot effectively solve actual urban planning issues. Aiming at this demand, we proposed a workflow optimization and developed a responsive cross-scale and multilandscape object 3D visibility analysis method, forming our analysis model for testing on the study case. By combining the multilandscape batch scanning method with a refined voxel model, it can be adapted for large-scale complex dynamic urban visual problems. As a result, we obtained accurate spatial visibility calculations that can be conducted across scales from the macro to micro, with large external mountain landscapes and small internal open spaces. Our verified approach not only has a good performance in the analysis of complex visibility problems (e.g., we defined the two most influential spatial variables to maintain good street-based landscape visibility) but also the high efficiency of spatial interventions (e.g., where the four recommended interventions were the most valuable), realizing the improvement of intelligent landscape evaluations and interventions for urban spatial quality and resilience.

'Harnessing the power of the law': a qualitative analysis of the legal determinants of health in English urban planning and recommendations for fairer and healthier decision-making.

BACKGROUND: Urban environments impact negatively on the risks of non-communicable diseases and perpetuate health inequalities. Against this, law could play a critical role, notably through implementing and securing visions of health and well-being, and evidence-based interventions. METHODS: Seven teams conducted 123 interviews with 132 actors in urban planning in England. Teams had expertise in urban planning, transport, real estate, public health, public policy, administration, and management. An additional team with expertise in law analysed data from all interviews to explore how the law is perceived and used to promote health in urban planning. RESULTS: Six issues were identified as preventing actors from using the law to improve health in urban planning: (i) density and complexity of the law; (ii) weak and outdated regulatory standards; (iii) absence of health from legal requirements in the decision-making process; (iv) inconsistent interpretations by actors with competing interests; (v) lack of strong health evidence-based local planning policies; and (vi) inertia of the law. CONCLUSIONS: The legal determinants of health listed in the Lancet-O'Neill Commission's report need to be strengthened at the local level to effectively deploy law in English urban development. The findings call for strong, evidence-based local planning policies and decision-making frameworks, placing health as (one of the) core value(s) of urban planning and showing what types of development benefit health, i.e., prevent NCDs risks and reduce health inequalities on the long term. The legal capacity of local government should be strengthened to empower decision-makers in shaping urban development that promotes health for everyone.

Our Souls Look Back and Wonder: Reflections on Belonging and Being Invisible in Medicine.

Addressing the unequal impact of health disparities on historically marginalized communities is a top public health priority. Diversifying the work force has been lauded as key to addressing this challenge. Contributing to diversity in the workforce is the recruitment and retention of health professionals previously excluded and underrepresented in medicine. A major obstacle to retention, however, is the unequal way in which health professionals experience the learning environment. Through this perspective of 4 generations of physicians and medical students, the authors seek to highlight the similarities that have persisted over 40 years in the experiences of being underrepresented in medicine. Through a series of conversations and reflective writing, the authors reveal themes that spanned generations. Two common themes among the authors are the feeling of not belonging and feeling invisible. This is experienced in various aspects of medical education and academic careers. The lack of representation, unequal expectations, and over taxation contributes to the feeling of not belonging, leading to emotional, physical, and academic fatigue. Feeling invisible, yet paradoxically being hyper-visible, is also common. Despite the challenges, the authors conclude with a sense of hope for the future, if not for them, for the generations to come.

Variations of Urban Thermal Risk with Local Climate Zones.

Due to the differences in land cover and natural surroundings within cities, residents in various regions face different thermal risks. Therefore, this study combined multi-source data to analyze the relationship between urban heat risk and local climate zones (LCZ). We found that in downtown Shenyang, the building-type LCZ was mainly found in urban centers, while the natural- type LCZ was mainly found in suburbs. Heat risk was highest in urban centers, gradually decreasing along the suburban direction. The thermal risk indices of the building-type LCZs were significantly higher than those of the natural types. Among the building types of LCZs, LCZ 8 (open middle high-rise) had the highest average thermal risk index (0.48), followed by LCZ 3 (0.46). Among the natural types of LCZs, LCZ E (bare rock and paved) and LCZ F (bare soil and sand) had the highest thermal risk indices, reaching 0.31 and 0.29, respectively. This study evaluated the thermal risk of the Shenyang central urban area from the perspective of LCZs and combined it with high-resolution remote sensing data to provide a reference for thermal risk mitigation in future urban planning.