How can low-carbon help high-quality urban development?-Empirical evidence from low-carbon city pilot policies.

High-quality development is the paramount task for comprehensively building a socialist modernized country. The low-carbon city pilot policy, with cities as the unit of action, provides new opportunities for high-quality economic transformation. Based on panel data from 261 cities between 2005 and 2018, this study calculates the level of high-quality economic development in Chinese cities, constructs a multi-period difference-in-differences model, analyzes the impact of the low-carbon city pilot policy on high-quality economic development, and explores the policy's heterogeneous effects on high-quality development in different types of cities and its transmission mechanism. The research findings show that the low-carbon city pilot policy can significantly promote high-quality economic development in cities and has heterogeneous effects in terms of regional differences, city types, and city scale. The effects are relatively greater in the eastern region, non-resource-based cities, and mega-cities. The low-carbon city pilot policy promotes high-quality economic development through mechanisms such as technological progress effects, resource agglomeration effects, and government action improvement effects. Combining theoretical analysis with empirical results, this study proposes policy recommendations to enhance the effectiveness of the low-carbon city pilot policy in promoting high-quality development.

Mobility census for monitoring rapid urban development.

Monitoring urban structure and development requires high-quality data at high spatio-temporal resolution. While traditional censuses have provided foundational insights into demographic and socio-economic aspects of urban life, their pace may not always align with the pace of urban development. To complement these traditional methods, we explore the potential of analysing alternative big-data sources, such as human mobility data. However, these often noisy and unstructured big data pose new challenges. Here, we propose a method to extract meaningful explanatory variables and classifications from such data. Using movement data from Beijing, which are produced as a by-product of mobile communication, we show that meaningful features can be extracted, revealing, for example, the emergence and absorption of subcentres. This method allows the analysis of urban dynamics at a high-spatial resolution (here 500 m) and near real-time frequency, and high computational efficiency, which is especially suitable for tracing event-driven mobility changes and their impact on urban structures.

Urban amenity and urban economic resilience: evidence from China.

Under the influence of multiple uncertain factors at home and abroad, urban amenities, as the underlying support for urban renewal activities, are of great significance in enhancing urban economic resilience. The panel data of Chinese cities from 2011 to 2019 is used in this study. Urban amenity is measured from artificial amenities and climate amenities, respectively. By using a two-way fixed effects model, we empirically test the impact of urban amenities on urban economic resilience. The key findings of this study are as follows. (1) Urban amenities can significantly enhance urban economic resilience. (2) Heterogeneity analysis shows that there are regional differences in the role of urban amenities in promoting urban economic resilience, with cities in the eastern region, strong environmental regulations, and high urbanization rates benefiting more. (3) We further find that urban amenities mainly enhance economic resilience by promoting population agglomeration, attracting labor migration, improving the quality of human capital, and stimulating urban innovation. Our conclusions recommend to rationally allocate and optimize urban amenity resources, strengthen urban planning and construction management, and create a more livable urban environment, thereby enhancing urban economic resilience.

Sustainability outcomes and policy implications: Evaluating China's "old urban neighborhood renewal" experiment.

Globally, old urban neighborhood transformation has become a new urban sustainability focus for its significant contribution to the United Nation's Sustainable Development Goal 11. A regeneration-oriented approach is particularly important for Chinese cities with a dwindling land supply, obsoleting infrastructure, and inadequate standard of living. Using a mixed-methods approach informed by BREEAM Communities, we examined two Chinese initiatives-old urban neighborhood renewal (OUNR) and sponge city development (SCD)-through a comprehensive study of pilot project sustainability, policy emphases and gaps, and broader governance implications. We found that SCD's top-down technocratic management was highly efficient in enhancing neighborhood hydrological functions and physical environment. However, successes were undermined by the lack of climate considerations and civic participation. Besides actionable recommendations for applied scholarship and policymaking in China, we provide insight into how the OUNR/SCD initiatives may broadly inform worldwide urban regeneration practices through project and policy experimentations that build adaptive capacity.

Urban densification in the Netherlands and its impact on mental health: An expert-based causal loop diagram.

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals' mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary expert knowledge in a causal loop diagram via group model building techniques. Six subsystems were identified: five subsystems describing mechanisms on how changes in the urban system caused by urban densification may impact mental health, and one showing how changes in mental health may alter urban densification. The new insights can help to develop resilient, healthier cities for all.

National Hospital Care Survey Demonstration Projects: Examination of Maternal Health Outcomes by Housing Assistance Status.

Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.

Can access to urban networks promote urban development? Evidence from the Yangtze River Delta region of China.

The regional networking strategy is widely implemented in China as a normative policy aimed at fostering cohesion and enhancing competitiveness. However, the empirical basis for this strategy remains relatively weak due to limitations in measurement methods and data availability. This paper establishes the urban networks by the enterprise investment data, and then accurately measures the network's external effects of each city by the method of MGWR model. The results show that: (1) Regional networking plays a significant role in urban development, although it is not the dominant factor. (2) The benefits of network connections may vary depending on the location and level of cities. (3) The major cities assume a pivotal role in the urban network. Based upon the aforementioned research conclusions, this paper presents strategic measures to enhance the network's external impacts, aiming to offer insights for other regions in formulating regional development strategies and establishing regional urban networks.

Assessment of network structure characteristics and factors of corporate flows in Guangdong Province.

With the rapid development of the world city network, the traditional location theory has gradually been disproven, and the advantages of the flow space over the traditional vertical organizational structure are gradually being revealed. Therefore, from corporate branch networks and corporate investment networks, 21 cities in urban agglomerations of Guangdong are taken as case studies for this paper. Furthermore, in this paper, 5 representative types of corporate contact data (catering service, financial service, life service, sports and leisure and accommodation service) are selected, the social network analysis (SNA) method is used to quantitatively analyze the network structure characteristics of urban agglomerations, and a spatial interaction model is constructed to explore the factors influencing. The results indicate that secondary networks have developed in Guangdong. The financial service network is the most complex, followed by the life services, sports and leisure and catering networks. The accommodation service network structure is the simplest. Among all kinds of networks, Guangzhou and Shenzhen have the highest status. The catering and accommodation corporations in Yangjiang in the west have a relatively major external development. Shantou in the east has many branches of various types, while most of the capital exchange in the region is concentrated in Heyuan and Qingyuan in the north. The coefficients of geographical proximity and the urban development level play a significant role in promoting the development of networks. However, administrative capacity limits the attractiveness of origin cities to a certain extent.

Using fs/QCA to explore the influencing factors of urban green infrastructure development and its combinational drivers: the case of the Yangtze River Delta region of China.

High levels of urban green infrastructure (UGI) development can help mitigate the climate, biodiversity, and habitat crises faced by cities and support the achievement of sustainable urban development. Based on the relevant data of 41 cities in the Yangtze River Delta region obtained from 2011 to 2020, this study measured the development level of natural and geographic conditions, economic development, urban construction, social and cultural development, and eco-environment quality and urban green infrastructure (UGI); evaluated the development trend of UGI in the region during the 12th Five-Year Plan and 13th Five-Year Plan by using entropy TOPSIS; and used fs/QCA to explain the high-level development path of each city toward the achievement of a green infrastructure. The results showed that (1) the development level of UGI in the Yangtze River Delta region decreases from southeast to northwest, and gradually decreases from Shanghai, Hangzhou, and other central cities. (2) There were several different configurations of high levels and non-high levels of UGI development drivers across regions, confirming the existence of multiple causality and asymmetry indices in the drivers of UGI. (3) During the "12th Five-Year Plan" and the "13th Five-Year Plan" period, the conditions needed to achieve a high level of UGI gradually became stricter, expanding from nature-social culture and urban construction-eco-environmental drivers to nature-urban construction, nature-social culture-eco-environmental, urban construction-economy-social culture-eco-environmental drivers. Research findings can provide greater guidance and implications for future sustainable urban development.

Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nanjing, China.

The urban thermal environment undergoes significant influences from changes in land use/land cover (LULC). This article uses CA-ANN and ANN algorithms to forecast LULC and changes in the urban thermal environment in Nanjing for the years 2030 and 2040. It investigates the interplay between LULC changes, land surface temperature (LST), and the urban thermal field variance index (UTFVI). The findings reveal that urban land exhibited a significant expansion trend from 2000 to 2019, reaching 1083.43 km2 in 2019. The forecast indicates that urban land may increase by 8.79% and 10.92% by 2030 and 2040, respectively. Conversely, vegetation and bare land may decrease. The LST is likely to continue to rise, accompanied by a significant expansion of the high temperature range and a contraction of the low temperature range. By 2030 and 2040, the area with LST<20 °C is likely to decrease by 2.17% and 3.19%, while the area with LST>30 °C is likely to expand by 5.68% and 8.08%, respectively. The UTFVI area of urban land may decrease at none and middle levels but may notably expand at stronger and strongest levels. The areas with UTFVI at none, weak, and middle levels show a declining trend, while the increase in UTFVI at the strong level may exceed 46.29% and the strongest level of UTFVI may continue to expand. This study offers new insights into urban sustainable development and thermal environment governance.

Analysis on the impact of smart city construction on urban greenness in China's megacities.

Urban greenness serves as a key indicator of sustainable urban development, with smart city construction emerging as a primary strategy for its enhancement. However, there is little empirical evidence considering multi-dimension between urban greenness and smart city construction on the city level. This study focuses on the impact on urban greenness of smart city construction in megacities, using the difference-in-differences regression model to evaluate the impact based on urban development conditions in various aspects from 2010 to 2021 in 10 megacities in China. The results of panel data of different indicator samples show unique conclusions. First, smart city pilot policy in megacities has significant impact on urban greenness, primarily due to demographic and economic developments. Second, the impact is different between the megacity and national level, and different factors of urban greenness have different effects on smart city construction. Third, the effects are time-lagged and lasted for years, and regional heterogeneity divided by building climate zones is existed, where the effect is more obvious in city agglomeration. These findings of smart city construction reveal the unique influences on megacity greenness, and can be generalized to cities with similar characteristics accordingly.

Examining changes in groundwater PFAS contamination from legacy landfills over a three-year period at Australia's largest urban renewal site.

Understanding groundwater contamination from legacy landfills, including fate and transport of Per- and polyfluoroalkyl substances (PFAS), is a critical challenge for sustainable urban renewal. We analysed groundwater within and surrounding legacy landfills at Fishermans Bend for PFAS and complementary hydrochemical indicators. Sampling in 2017 revealed extensive PFAS contamination from the landfills. We re-examined concentrations after a 3-year period, to assess natural source attenuation and evolution of the contaminant plumes. Total PFAS (∑38PFAS) ranged from 88 to 973 ng/L, with relatively high concentrations (mean = 500 ng/L, n = 4) in samples directly within the waste mass of a large legacy municipal and industrial landfill (Port Melbourne Tip). Two samples on the boundary of a former construction and demolition waste landfill also had elevated PFAS concentrations (∑38PFAS = 232 and 761.5 ng/L). Down-gradient of the landfills, groundwater showed reductions in total PFAS, though still maintained considerable loads (∑PFAS = 107.5-207.5 ng/L). Long-chained PFAS showed greatest reductions relative to chloride concentrations down-gradient of the landfills, consistent with sorption as the predominant removal mechanism. The dominant mass fractions detected were similar in 2017 and 2020 (median: PFOS > PFHxS > PFHxA > PFOA); comprising the widely known, persistent 'legacy' PFAS. Re-sampled bores returned similar concentrations of these PFAS in 2017 and 2020 (median %RPDs of 0.0, 9.3 and 15.4, for PFOS, PFOA, and PFHxS, respectively). However, there were marked increases in concentrations of certain PFAS in three bores - including a previously un-impacted background site. The results show limited attenuation of legacy landfill PFAS contamination in groundwater over a 3-year period.

The intersection of health and housing: Analysis of the research portfolios of the National Institutes of Health, Centers for Disease Control and Prevention, and U.S. Department of Housing and Urban Development.

BACKGROUND: Housing is a major social determinant of health that affects health status and outcomes across the lifespan. OBJECTIVES: An interagency portfolio analysis assessed the level of funding invested in "health and housing research" from fiscal years (FY) 2016-2020 across the National Institutes of Health (NIH), the United States Department of Housing and Urban Development (HUD), and the Centers for Disease Control and Prevention (CDC) to characterize the existing health and housing portfolio and identify potential areas for additional research and collaboration. METHODS/RESULTS: We identified NIH, HUD, and CDC research projects that were relevant to both health and housing and characterized them by housing theme, health topic, population, and study design. We organized the assessment of the individual housing themes by four overarching housing-to-health pathways. From FY 2016-2020, NIH, HUD, and CDC funded 565 health and housing projects combined. The Neighborhood pathway was most common, followed by studies of the Safety and Quality pathway. Studies of the Affordability and Stability pathways were least common. Health topics such as substance use, mental health, and cardiovascular disease were most often studied. Most studies were observational (66%); only a little over one fourth (27%) were intervention studies. DISCUSSION: This review of the research grant portfolios of three major federal funders of health and housing research in the United States describes the diversity and substantial investment in research at the intersection between housing and health. Analysis of the combined portfolio points to gaps in studies on causal pathways linking housing to health outcomes. The findings highlight the need for research to better understand the causal pathways from housing to health and prevention intervention research, including rigorous evaluation of housing interventions and policies to improve health and well-being.

Historical changes in tree and impervious surface cover following urban renewal in a small postindustrial city.

Changes in tree cover and impervious surfaces have been observed across many cities in the United States over the past 70 years. Many municipalities are implementing tree planting programs in efforts to increase tree cover. A detailed understanding of historical changes in land cover can inform urban forest management. I applied a convolutional neural network image segmentation approach to historical aerial imagery to delineate changes in land cover in 1957, 1974, and 2017 in Utica, New York, a small, postindustrial city. The model predicted tree, pavement, and building land cover in each year with overall accuracies ranging from 82-87%. From 1957 to 2017, tree cover declined in many areas and impervious surface cover (buildings and pavement) increased. Tree cover gains largely occurred in uninhabited, natural areas; whereas, the greatest declines in tree coverage occurred in many residential areas following the start of the urban renewal efforts in 1957. Current tree planting efforts targeted at homeowners could drive disparities in future tree cover since several areas of Utica with low tree have a high proportion of renter occupied homes and a low median household income. Convolutional Neural Network approaches for image segmentation of aerial imagery are a helpful tool in understanding patterns in changes in tree and impervious surfaces. A better understanding of the legacies of historical policies and neighborhood-scale changes in land cover can assist in highlighting priorities for urban forest management and justice-oriented urban forestry approaches to urban tree planting.

Factors influencing abundance of 3 tick species across a gradient of urban development intensity in the US Great Plains.

Urbanization alters abiotic conditions, vegetation, and wildlife populations in ways that affect tick abundance and tick-borne disease prevalence. Likely due to such changes, tick abundance has increased in many US urban areas. Despite growing public health importance of tick-borne diseases, little is known about how ticks are influenced by urbanization in North America, especially in the central United States where several pathogens occur at or near their highest incidences. To identify factors influencing tick abundance across a gradient of urbanization intensity, we used CO2 traps and flagging to sample ticks at 16 parks across Oklahoma City, Oklahoma, USA over 2 yr, conducted vegetation surveys, and used trail cameras to estimate a deer abundance index. Our results indicate there is a risk of encountering ticks across the entire urbanization gradient from exurban areas to the urban core, although some species (Dermacentor variabilis (Say)) appear less-common in heavily-urbanized areas. Vegetation variables were also associated with tick abundance. For example, Amblyomma maculatum Koch decreased with increasing woody plant and leaf litter cover, and there was a weak positive relationship between D. variabilis abundance and cover of understory eastern redcedar (Juniperus virginiana L.), indicating this native encroaching tree may increase tick populations in urban areas of the Great Plains. The deer abundance index was positively correlated with A. maculatum and D. variabilis abundance but unrelated to A. americanum (L.) abundance. Public health officials and land managers can use such information about parks/greenspaces and their surroundings to focus public education and land management efforts designed to reduce tick-borne disease prevalence.

Life funds, urban development, and the experimental practices of financial sociology.

How did the Norwich Union, a life and general insurance company, come to see itself as a 'local developer with people always at the centre of our planning'? This article explores how a small number of insurance companies, capitalising on their long history of property investment, used their investment funds, or 'life funds', to transform the built environment of UK in the twentieth century. In the postwar period life funds were contracted by local governments to finance, plan and develop solutions to urban issues that paralleled those targeted by post-war welfare reforms. This involved companies in developing expertise, working practices, instruments and collaborative arrangements that are not adequately represented as financial investment. Ventures into development on this scale had also to be ventures in futures planning, calculated bets on how people would - and how they should - live, work and spend. These are enterprises that I characterise as 'experimental practices of financial sociology' as a provocation that acknowledges first, that non-sociologists sometimes devise huge sociological experiments and second, that the separation of economics from sociology, and of finance from society, is a disciplinary move that is far less strictly enacted outside the academy.

A participatory system map of the adverse influence of urban environments on population health: integrating urban development and preventive health expertise.

OBJECTIVES: A growing number of urban development and public health professionals are developing expertise in how urban environments influence population health to support preventive health (PH) planning, implementation and outcomes. This study aimed to address the growing interest among these experts in Sydney, Australia, to move beyond silo-based approaches to PH planning and urban development by developing a preliminary mapping of the complex adaptive system. This is a network of agents and parts that collectively relate and interact, where they seek to intervene by meshing the disparate knowledge of their multidisciplinary expertise. This mapping will help experts to better integrate PH approaches by linking primordial and primary prevention within urban environments, collectively prioritising areas for intervention within the complex adaptive system, and developing a better understanding of relations between multiple factors at play within it. METHODS: The system map was developed using a unique participatory system-mapping (PSM) process involving a modified Delphi technique consisting of three rounds between October 2019 and August 2020 and 15 urban development and public health experts engaged in PH in Sydney's urban environment. RESULTS: The final system map encompassed features of the local environment, determinants of health and wellbeing in urban environments, pre-clinical health and wellbeing impacts, and clinical health outcomes, providing a comprehensive map of the adverse effects of urban environments on population health. There was a high level of agreement among experts on the final system map. While experts from different disciplines generally agreed on priority areas for intervention, consensus was higher among those from similar disciplinary backgrounds. CONCLUSIONS: The study highlights how the collective intelligence of experts from diverse disciplines can generate PSM. Furthermore, it illustrates how using systems mapping can help experts interested in complex public health problems to take a broader view of the complex adaptive system for PH planning, support collaborative prioritisation, and offer valuable insights for targeted interventions.

[Urban Epidemiology as an Integrative Approach to Sustainable and Healthy Urban Development]. / Stadtepidemiologie als integrativer Ansatz für eine nachhaltige, gesundheitsfördernde Stadtentwicklung.

Understanding the complex relationships between the physical and social environment and health in urban areas is essential for the development of appropriate measures of health promotion, disease prevention, and health protection. This article aims to characterize the comparatively new approach of urban epidemiology with its relevance for research and practice of urban health. Research in urban epidemiology provides important data and methodological foundations for integrated reporting, health impact assessments, and evaluation of interventions. Current challenges and solutions are outlined and initial recommendations for research, practice, and education and training are presented for discussion. Methods and findings of urban epidemiology can contribute in many ways to health-promoting, sustainable urban development.

Connotation of urban ecological quality and the construction of its core index system.

Urban ecological quality is a necessary attribute for a healthy urban ecological state. In the period of urban development from large-scale incremental construction to stock improvement and quality transformation and incremental structural adjustment, there are many gaps between urban ecological quality construction and the requirements of the new stage. There is an urgent need to understand and integrate multiple needs, and construct an indicator system to promote the balance between supply and demand of ecological resources and efficient use to enhance urban ecological quality. We used the analysis methods of CiteSpace literature analysis, relevant policy collation and questionnaire survey to systematically sort out the key points of concern and differences in understanding among the three perspectives of science, government, and the public. The results showed that all the three perspectives, i.e., science, government, and public, were more concerned with indicators related to urban green space, gray infrastructure, and policy control. The concerns of science and public addressed indicators related to urban green space the most, while government being most concerned with indicators related to gray infrastructure. Based on those findings, we developed a core urban ecological quality index system with a total of 25 indicators, covering 10 major types of urban green space, environmental quality, gray infrastructure, and so on.

Differences in the evolution of urban and rural surface thermal environment and their responses to urban renewal in Shanghai, China.

The rapid and extensive urbanization has profound impacts on urban thermal environment. It is of great significance to comprehensively understand how urbanization affects the evolution of urban thermal environment for urban ecological safety, environmental quality, and residents' health. Based on daily land surface temperature (LST) products of MODIS Aqua satellite in the summer of 2002-2020, we investigated the evolution of urban-rural differences in surface summer thermal environment in Shanghai during 2002-2020 and its response to urban spatial renewal. We used normalized land surface temperature (NLST) and urban heat island ratio index (URI) as the surface thermal environment measurement indicators, by combining vegetation index and impervious surface cove-rage, and used M-K trend analysis and interpretation analysis. The results showed that the linear growth rate of LST in Shanghai was 0.09 ℃·a-1 (2002-2020), and that URI showed a trend of first increasing (2002-2010) and then decreasing (2010-2020). The mean summer LST was generally in the order of urban core>suburban>rural. 1.6% of the areas showed a significant cooling trend, of which 54.0% were distributed in the urban core. 39.5% of the regions showed a significant warming trend, of which 77.6% were distributed in the suburban. In general, there were concentrated significant cooling areas in the highly urbanized urban areas, while there was a significant warming trend in the suburban. The transformation from urban expansion to urban renewal was the main reason for the emergence of concentrated and significant cooling areas in the urban. Nearly 20% of the urban area showed a signi-ficant increase of vegetation coverage. Urban renewal projects such as gathering vegetation or dispersing impervious surfaces in highly urbanized areas are important ways to effectively improve the urban residential thermal environment.