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.

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.

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.

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.

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.

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.

Effect of COVID-19 prevention as part of an urban renewal programme.

OBJECTIVES: To address existing inequalities, the Barcelona City Council launched a Neighbourhood Plan in 2016-2020. During the first wave of the COVID-19 pandemic, the Neighbourhood Plan interventions were intensified. This study aimed to assess the effect of the plan on the incidence of COVID-19 during the first wave of the pandemic in Barcelona. STUDY DESIGN: We used a quasi-experimental design with 16 intervention neighbourhoods and 17 neighbourhoods in the comparison group with similar socioeconomic characteristics. METHODS: We calculated the cumulative incidence rate (CIR) of COVID-19 per 100,000 inhabitants by sex, age groups, and neighbourhood of residence. Poisson regression models were fitted to estimate the crude relative risk and relative risk adjusted by socioeconomic status (cRR and aRR) and their 95% confidence intervals (CIs). RESULTS: The CIR of COVID-19 was lower in the intervention neighbourhoods (CIR: 841 per 100,000 inhabitants) than in the comparison group (CIR: 973 per 100,000 inhabitants). On multivariate analysis, the aRR was 0.77 (CI: 0.70-0.83) for men and 0.89 (CI: 0.83-0.96) for women. Among men older than 75 years (aRR = 0.73; CI: 0.62-0.86), statistically significant differences were found in the intervention neighbourhoods compared to the comparison group. This pattern was not observed in women older than 75 years (aRR = 1.13; CI: 0.99-1.30). CONCLUSION: This research finds positive short-term effect in the intervention neighbourhoods. We conclude that the COVID-19 control and prevention interventions are likely to explain the better performance in the neighbourhoods included in the Neighbourhood Plan.

Construction and planning application of blue-green ecological network in Ruzhou City based on morphological spatial pattern analysis (MSPA).

Land space planning is an important way to realize the construction of ecological civilization. It is important to improve the ecological service capacity of urban blue-green space during land space planning and combine it with planning strategies. With Ruzhou City from Henan Province as the research area, we constructed the current blue-green ecological network by morphological spatial pattern analysis (MSPA), connectivity analysis and minimum cumulative resistance model, and explored the application of corridor construction in land spatial planning. The results showed that there were seven first-level core patches, which were mainly distributed in the mountain forest space in the southwest and northeast of the city and the belt ecological space formed by Ruhe River in the middle. There were nine second-level core patches. A total of 256 ecological corridors and 135 ecological nodes were screened out. Most of the corridors crossed Ruhe River, so we should focus on protecting Ruhe River and its surrounding environment, providing temporary habitat for biological migration from north to south, improving the stability of overall ecological network, and concerning the restoration of the corridor breakpoints on the west and south sides of the city. It could guide the division of urban development boundaries, and provide scientific basis for the functional orientation and classified management and control of corridors from the perspective of planning.

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.

How robust are current narratives to deal with the urban energy-water-land nexus?

Current energy, water, and land (EWL) nexus research treats all resources equally, causing bias in complicated nexus studies. To make the analysis robust, we consider resource endowment and significance. Here, we provide a methodological framework where the urban industrial resource nexus strength is constructed and assign weights to resources according to policies, describing resource efficiency and representing it in ternary diagrams to assess the urban industrial nexus innovatively. Results showed that energy drives urban development under all weights, with energy resource efficiency exceeding 60%. From consumption-based accounting, energy continues to dominate most industries under physical weightings but emphasizes the significance of water and land. While, under economic weightings, land supplants energy's dominance in specific sectors. Setting weights helps understand resource interaction, establish synergy based on urban development objectives, and minimize robustness. Our findings provide quantitative evidence for assessing urban resource efficiency to highlight priority sectors for intervention in urban decision-making.

Features and spatial effects of urban development and decline in resource-oriented cities: The case of Jilin, China.

Transforming resource-based cities into sustainable economic development is a great challenge for policy-makers in many countries. However, the economic-centered evaluation system tends to breed the undesirable view of "GDP only" or "brown growth" in the previous case studies which is inconsistent with the long-run and sustainable development of resource-based cities. To fill in this research gap, this paper takes Jilin province in northeast China as a case study to explore urban development problems faced by major resource-based cities during resource depletion. This research constructs a stratified indicator system and conducts an in-depth analysis of the features and spatial effects of urban decline. For this analysis, this paper jointly uses the methods of entropy-weighted TOPSIS, analytic hierarchical process (AHP), and spatial effect model based on a database from 2000 to 2019. The findings of this study show that the current transformation of resource-based cities in Jilin province is generally ineffective and difficult to maintain long-run and sustainable development due to its historical reasons and industrial development background. According to the results, the resource-based cities in Jilin province show an unstable development because of factors such as barriers to the physical renewal of resources, rigid industrial structure, insufficient backup resources, and institutional and policy constraints. Also, the transformation of these cities into sustainable economic development is still facing demographic, social, and ecological difficulties.

Creating building-level, three-dimensional digital models of historic urban neighborhoods from Sanborn Fire Insurance maps using machine learning.

Sanborn Fire Insurance maps contain a wealth of building-level information about U.S. cities dating back to the late 19th century. They are a valuable resource for studying changes in urban environments, such as the legacy of urban highway construction and urban renewal in the 20th century. However, it is a challenge to automatically extract the building-level information effectively and efficiently from Sanborn maps because of the large number of map entities and the lack of appropriate computational methods to detect these entities. This paper contributes to a scalable workflow that utilizes machine learning to identify building footprints and associated properties on Sanborn maps. This information can be effectively applied to create 3D visualization of historic urban neighborhoods and inform urban changes. We demonstrate our methods using Sanborn maps for two neighborhoods in Columbus, Ohio, USA that were bisected by highway construction in the 1960s. Quantitative and visual analysis of the results suggest high accuracy of the extracted building-level information, with an F-1 score of 0.9 for building footprints and construction materials, and over 0.7 for building utilizations and numbers of stories. We also illustrate how to visualize pre-highway neighborhoods.

Unveiling urban marathon development characteristics and urban growth strategies in China: Insights from time series analysis of Baidu Search Index.

The strategic exploration of urban sports tourism resources and the pursuit of novel trajectories for urban growth are pivotal for resource integration and competitive enhancement within cities. This investigation concentrates on Chinese city marathons and compiles daily search index data from Baidu for 38 city marathons across the nation, spanning from January 1st, 2012 to May 3rd, 2022. Employing time series clustering to evaluate the data, and in conjunction with indices related to urban tourism resources and city development, we delve into the characteristics of how Chinese city marathons propel urban growth. The findings illustrate that the search index data for the 38 city marathons can be clustered into three categories, with Xi'an, Fuzhou, and Dalian emerging as the epicenters of clustering. The representative search index data for these three clusters reveal diverse characteristics of change. The search index shifts for three landmark races align generally with the changes observed in their respective cluster center races, however, variations exist among the search index changes for these iconic marathons. The degree of search index and its trending direction in city marathons emanate from the synergistic influence of the city's political, economic, and tourism attributes, in addition to the event's prominence. City marathons also catalyze urban development through economic stimulation, image enhancement, and infrastructure improvement. Future exploration of novel trajectories for urban development could be facilitated through harnessing the economic and tourism attributes of these events, and by orchestrating a unified series of marathons.