Urban Policy Research Articles

Evaluating Environmental Sustainability: The Role of Agriculture and Renewable Energy in South Korea

This study investigates the impacts of agriculture and renewable energy consumption on CO2 emissions in South Korea from 1980 to 2023, highlighting both challenges and opportunities for environmental sustainability. Utilizing bootstrap ARDL, FMOLS, and CCR methodologies, the analysis reveals that traditional agricultural practices significantly increase CO2 emissions, underscoring the urgent need for sustainable agricultural reforms. Conversely, renewable energy consumption effectively reduces CO2 emissions, thereby supporting the nation’s transition towards sustainable energy sources. Additionally, control variables such as industrial activity, urbanization, energy prices, and government environmental policies exhibit significant effects on CO2 emissions. Specifically, industrial activity and urbanization contribute to increased emissions, whereas higher energy prices and stringent environmental policies are associated with reduced emissions. These findings highlight the necessity for targeted agricultural and energy sector reforms to achieve a balance between economic growth and environmental preservation. Robustness tests confirm the stability of these relationships, providing a reliable foundation for policymakers to develop effective strategies for a sustainable future in South Korea.

Polycentricity and TOD-ness synergy: A novel composite index for integrated development of employment centers and residential cores in transit-oriented neighborhoods

Proximity of transit-oriented development (TOD) goals to polycentric urban development in the field of controlling negative effects of urban sprawl reinforces polycentricity and TOD-ness spatial synergy. Furthermore, identification of transit-oriented neighborhoods that have high potential to become secondary employment centers (ECs) is one of the most important challenges facing urban transport planners and land use policy makers. This research explained integrated development of ECs and residential cores (RCs) in transit-oriented neighborhoods using a novel composite index. The index is designed based on TOD-ness and polycentricity measures using spatial statistical methods and helps urban planners and policy makers to better identify polycentric TODs as transit-oriented residential neighborhoods with high potential to become secondary employment centers. Research findings confirmed higher accessibility of polycentric TODs to public services and public and private transportation that have better integration in the development of urban facilities and transportation systems. Furthermore, the findings confirmed polycentricity and TOD-ness spatial synergies in polycentric TODs.

Exploring the role of configurational accessibility of alleyways on facilitating wayfinding transportation within the organic street network systems

Despite the significant role of alleyways in urban spatial configuration and accessibility as critical structures of urban infrastructure, there remains a noticeable gap in understanding their specific role in urban transportation policies. The main aim of the present study is to investigate the role of configurational accessibility of alleyways in facilitating wayfinding within organic street network systems. A mixed method was applied using Space Syntax and empirical observations. Moreover, Pearson correlations and t-tests were used to discern the association between variables and compare independent groups using SPSS software. The findings from the syntactical analysis strongly indicate that alleyways significantly impact configurational accessibility within urban network systems. Furthermore, the complex and labyrinthine structure of organic alleyways was found to significantly hinder the intelligibility of urban areas, making navigation more challenging. The results revealed a significant correlation between vehicle mobility and connectivity values, with higher levels of mobility consistently linked to increased connectivity values. The outcomes also indicated that alleys connected to main streets play a crucial role in facilitating wayfinding within urban network systems. This study contributes to a more profound understanding of the role of alleyways in urban network systems for urban planners and transportation engineers, paving the way for more targeted sustainable urban planning strategies.

Evaluation of machine learning algorithm capability for Bosten Lake Wetland classification based on multi-temporal Sentinel-2 data

As crucial carbon sinks within terrestrial ecosystems, wetlands have been extensively studied in terms of spatio-temporal distributions. However, existing methods for classifying wetlands are of limited accuracy, and it is difficult to acquire consistent samples over time. Therefore, precise classification methods are required to facilitate wetland conservation and ecological restoration. In this study, multiple machine learning (ML) algorithms in combination with feature sets based on Sentinel-2 data were used to accurately classify the land-use types (LUTs) of the Bosten Lake Wetland (BLW) in Xinjiang, China. The enhanced water index (EWI), modified normalised difference water index (MNDWI), and normalised difference water index (NDWI) were selected to extract water information and distinguish water bodies from land surfaces in the BLW. Three classification plans based on vegetation indices, water indices, and textural features were developed using artificial neural network (ANN), support vector machine (SVM), random forest (RF) algorithms. Plan 9 combined vegetation water and texture with the highest overall accuracy (OA) 91.02 % and kappa coefficient (KC) 0.89. This plan obtained a producer accuracy of over 90 % for lake wetlands, river wetlands, grassland wetlands, mud flats, and farmland and > 83 % for construction land and bareland. According to Plan 9, the wetland area during 2018–2023 showed noticeable seasonal fluctuations but stable interannual changes. Conversely, non-wetland areas demonstrated significant interannual fluctuations, particularly in bareland and farmland, which might have been influenced by urbanisation and ecological policies. This study provides insights into the data sources, feature selection, and methodological approaches for wetland information extraction in arid regions.

Urban Greening and Ecological Balance in the United States: Policies, Practices, and Challenges

Urbanization is a significant hallmark of modern societal development. However, the environmental issues that accompany it, especially the disruption of ecological balance, have become a global challenge. Urban greening, as an essential means of improving the urban ecological environment and promoting ecological balance, is increasingly recognized for its importance. The United States, with one of the highest levels of urbanization globally, serves as a model for urban greening policies and practices worldwide. This paper provides an in-depth analysis of the current state, policies, practices, and challenges of urban greening in the United States, aiming to offer strategies and recommendations for sustainable urban greening development.

High-resolution carbon emission mapping and spatial-temporal analysis based on multi-source geographic data: A case study in Xi'an City, China

Cities, contributing over 70% of global emissions, are key areas for climate change mitigation. Heterogeneity within cities determines the need for spatialized urban emissions reduction policies. However, few studies have attempted to characterize the spatial distribution of carbon emissions at the urban scale. To address this issue, a novel mapping method was proposed, using Xi'an as an example to explore the spatial distribution of carbon emissions at the city scale. Firstly, multiple geospatial open-source data, such as point of interest (POI), road networks, and land use, were utilized to identify the locations of emission sources. High-resolution carbon emission distributions were then mapped by allocating emissions based on the Intergovernmental Panel on Climate Change (IPCC) methodology. The study employed Global Moran's I to analyze the changes in spatial heterogeneity at different resolutions. Additionally, the Local Indicators of Spatial Association index (LISA) and Standard Deviation Ellipses (SDE) were adopted to examine the spatiotemporal characteristics of carbon emissions in Xi'an. The results show that carbon emissions at Xi'an City rises from 45.112 million tons to 72.701 million tons between 2010 and 2021. The construction of multi-scale carbon emissions spatial distributions, with a resolution of up to 30 m, allowed for a more detailed characterization of carbon emissions, especially in urban fringe areas. In addition, the results indicate that urban carbon emissions exhibit the strongest spatial autocorrelation at a resolution of 350 m. The study can provide a reference for the development of regional carbon emission reduction policies and spatial planning. In addition, the proposed spatialized method of city carbon emissions depends on open-source data, which allows it to have the potential for application in other cities.

Planners as Gatekeepers: Spatial Justice Through the lens of Planning Theory in Helsinki

Abstract Planning practice is a device of controlling land use and ideally corresponds to societal demands. It can contribute to spatial justice through its two roles, substantive and procedural. Planning theory, on the other hand, studies both roles of planning practice focusing on the interplay of power. Helsinki witnesses a rapid and dynamic urban growth with the Finnish capital city plan adopting bold ideas aiming to create pedestrian friendly urban centers further from the inner city. Among other objectives, the city plan employs anti-segregation policy in certain areas. Ethnic retail has been emerging in Helsinki at several locations not only fulfilling socio-economic needs of immigrants but also enhancing public street life and creating urban hubs. In particular, ethnic retail is clustered at two strip malls located in two neighborhoods under urban renewal. Two competitions were organized to guide the land-use based on the objectives of the city plan. This article studies how urban planning policy and planners have steered the urban renewal outcome. The findings show that the planners can serve as gatekeepers allowing specific outcomes in favor of certain actors. The article contributes to literature analyzing planning practice through the theory lens.

Spatiotemporal landscape pattern changes and their effects on land surface temperature in greenbelt with semi-arid climate: A case study of the Erbil City, Iraq

Urban expansion of cities has caused changes in land use and land cover (LULC) in addition to transformations in the spatial characteristics of landscape structure. These alterations have generated heat islands and rise of land surface temperature (LST), which consequently have caused a variety of environmental issues and threated the sustainable development of urban areas. Greenbelts are employed as an urban planning containment policy to regulate urban expansion, safeguard natural open spaces, and serve adaptation and mitigation functions. And they are regarded as a powerful measure for enhancing urban environmental sustainability. Despite the fact that, the relation between landscape structure change and variation of LST has been examined thoroughly in many studies, but there is a limitation concerning this relation in semi-arid climate and in greenbelts as well, with the lacking of comprehensive research combing both aspects. Accordingly, this study investigated the spatiotemporal changes of landscape pattern of LULC and their relationship with variation of LST within an inner greenbelt in the semi-arid Erbil City of northern Iraq. The study utilized remote sensing data to retrieve LST, classified LULC, and calculated landscape metrics for analyzing spatial changes during the study period. The results indicated that both composition and configuration of LULC had an impact on the variation of LST in the study area. The Pearson’s correlation showed the significant effect of Vegetation 1 type (VH), cultivated land (CU), and bare soil (BS) on LST, as increase of LST was related to the decrease of VH and the increases of CU and BS, while, neither Vegetation 2 type (VL) nor built-up (BU) had any effects. Additionally, the spatial distribution of LULC also exhibited significant effects on LST, as LST was strongly correlated with landscape indices for VH, CU, and BS. However, for BU, only aggregation index metric affected LST, while none of VL metrics had a relation. The study provides insights for landscape planners and policymakers to not only develop more green spaces in greenbelt but also optimize the spatial landscape patterns to reduce the influence of LST on the urban environment, and further promote sustainable development and enhance well-being in the cities with semi-arid climate.

Redevelopment of Underutilized Land in Cities Based on the Perspective of Relevant Stakeholders

As urbanization continues to advance, the issue of redevelopment of low utility land in cities has gradually become the focus of widespread attention. The existence of low utility land leads to irrational allocation of urban resources, low land utilization efficiency, and brings challenges to sustainable urban development. This paper comprehensively analyzes the main causes of low utility land in cities and analyzes them from the perspectives of stakeholders at different levels, and at the same time, it proposes a series of solutions tailored to the local conditions by comparing the problems in urban redevelopment in Guangzhou and London, because different cities have different policies, laws or development pattern which may infect the management of low utility land differently. Meanwhile, this paper also explores the solution to the problem of inefficient land use through effective urban planning, policy adjustment and cooperation among stakeholders to promote sustainable urban development. Finally, this paper gives some problems and challenges that need further attention in the future.

Study on Optimization of Land Use Structure in Fujian Province Based on Low-Carbon Perspective

Carbon peaking and carbon neutrality strategies are pivotal in addressing climate change. Optimizing land use structure is a fundamental approach to achieving low-carbon development within a given territory. This study focuses on Fujian Province as the research subject, predicting carbon emissions for the next decade by analyzing the correlation between land use types and carbon emissions using the gray model. This analysis is based on land use panel data spanning from 2007 to 2021. The study applies the FLUS-Markov model to simulate Fujian’s land use in 2030. A multi-objective optimization model is developed from a low-carbon perspective, integrating carbon emissions, economic, and ecological factors. The study explores land use under three scenarios: natural development scenario (NS), low carbon scenario (LCS), and comprehensive scenario (CS). Findings highlight the relationship between land use-related carbon emissions, urbanization, and relevant policies in Fujian. The FLUS-Markov simulations suggest that under the NS scenario, carbon emissions in 2030 will reach 77.829 million tons, an increase of 11.013 million tons from 2020. In contrast, the LCS demonstrates that optimizing land use structures can effectively balance carbon reduction, economic growth, and ecological preservation. Under the CS, 2030 emissions could be reduced by 7.2854 million tons while maintaining economic and ecological benefits. Despite variations in construction land expansion across these scenarios, all follow a “one belt, one core” development pattern. The study concludes with policy recommendations, including industrial layout optimization and clean energy promotion. These findings support the alignment of land use optimization with Fujian’s future development needs, offering guidance for land-use planning and policies focused on low-carbon objectives.

Multi‐Hazard Interrelationships and Risk Scenarios in Urban Areas: A Case of Nairobi and Istanbul

AbstractThis paper introduces a methodology for characterizing the breadth of natural hazard types, hazard interrelationships, and risk scenarios in Global South urban areas, focusing on Nairobi, Kenya, and Istanbul, Türkiye. Our approach involves (a) a comprehensive characterization of multi‐hazards and their interrelationships in an urban setting, (b) collaborative development of relevant multi‐hazard scenarios with local disaster risk reduction (DRR) stakeholders, and (c) analysis of the potential for integrating these scenarios into urban DRR efforts. Using a critical review of 135 sources (academic and gray literature, databases, online, and social media), we identify 19 natural hazard types that might influence Nairobi and 23 in Istanbul. We further identified in Nairobi 88 and Istanbul 105 hazard interrelationship pairs (e.g., an earthquake triggering landslides) out of a possible 576 interrelationships. These findings are cataloged in an extensive database, which informs the creation of multi‐hazard risk scenario exemplars for each city. These exemplars are refined through stakeholder engagement, involving four workshops (47 participants) and nine semi‐structured interviews with local DRR stakeholders. Despite the identified benefits, this engagement reveals a significant gap in integrating multi‐hazards into current urban policy and practice. Governance challenges are highlighted as a key barrier, but opportunities for better integration are also identified, including evolving policies and growing awareness among urban actors. Our approach, particularly relevant in data‐scarce urban areas of low‐ and middle‐income countries, provides a framework for exploring multi‐hazard issues in various urban contexts.

Compulsory acquisition of property for urban densification in South Africa: an answer to the chronic housing backlog?

ABSTRACT The cities are rapidly sprawling in South Africa, despite the city authorities’ attempts at containing the sprawl. This has signalled the need for strong urban densification policy which – if properly designed and implemented – promises to yield several benefits such as smart, inclusive, equitable and sustainable cities. Densification policy can also facilitate access to adequate housing which remains a challenge in South Africa where millions of people are inadequately housed, if not homeless. Using a qualitative investigation and literature review to analyse the relevant policies and case law, this article investigates whether a legally sound argument can be developed for compulsory acquisition of property to be deployed as a mechanism to facilitate enhanced access to housing for the poor and marginalised. Put differently, the article asks whether compulsory acquisition could be an ideal method of facilitating densification to ramp up housing provision across the country. The findings suggest that urban densification policy is a necessary intervention in that regard. Compulsory acquisition of property is advanced as an optimal method to achieve this endeavour.

“We are the forerunners in Southern Europe”: Experimenting with Business Improvement Districts in Greater Barcelona

ABSTRACT This paper uses the experimentation with Business Improvement Districts in Greater Barcelona to examine its relational re-making in a rather over-looked Southern-Mediterranean urban, socio-spatial and political-institutional context. Drawing on semi-structured interviews and institutional archives, it offers three intellectual contributions to urban policy mobilities studies. First, the paper argues that the territorial adaptation, mediation and translation of urban entrepreneurial policies hinges upon the differential and inherited nature of welfare regimes, state-market constellations and existing political infrastructures. Second, the paper outlines that policymakers have followed open-ended and multilateral learning approaches through space and time, in which some policy features were (re-)learned, circulated and modified to fit more centralized regimes. Third, and finally, it sketches out the role of government-funded pilot programs as instances through which policies are showcased, experimented and ultimately constituted before and after their institutionalization in specific socio-legal and socio-spatial contexts.

Development of an Active Transportation Framework Model for Sustainable Urban Development

Active transportation, with simple mobility modes such as walking and cycling, could be pivotal in addressing multiple sustainability challenges related to socio-economic, environmental, and public health issues. This paper investigates the facilitators for active transportation and assesses its impact on health, well-being, and urban sustainability. As a result, a multidimensional conceptual framework is developed to analyze the determinants influencing individuals’ propensity to engage in active transportation and thereby lead to a sustainable, high-quality way of life. Through an extensive review of the relevant literature, key elements for active transportation, accessibility, and social inclusion are identified, and their potential impact on urban health and sustainability is investigated. Findings suggest that interrelationships between factors such as enhanced infrastructure, safety measures, and improved urban accessibility would significantly encourage active transportation usage. The proposed framework argues for a positive association between active transportation and improved health outcomes, contributing to sustainable urban environments. Furthermore, it is advocated that changing attitudes and mindsets could be achieved by urban planning and policy reforms supporting active transportation, as well as by effectively communicating the multiple benefits for individuals, the economy, and society at large. Comprehensive policy strategies, which include improvements in urban design and increased public awareness of the benefits of active transportation, could establish a paradigm shift for promoting a higher quality of life through a healthy, active, and sustainable urban lifestyle.

Nonlinear impacts of landscape and climatological interactions on urban thermal environment during a hot and rainy summer

Investigating the nonlinear impacts of urban landscape and climatic parameters on urban temperatures, a critical issue within urban climatology. Chengdu, characterized by its hot, rainy summers and rapid urban development, serves as an ideal model to illustrate these dynamics. Our investigation utilizes advanced analytical methods such as Random Forests (RF), SHapley additive explanation (SHAP), and Partial Dependence Plots (PDP) to analyze how landscape and climatic factors influence air temperature (AT) and land surface temperature (LST). Significant findings reveal profound thermal heterogeneity across Chengdu’s urban fabric, underscored by spatially distinct phenomena where some regions exhibit strong contrasts in temperature impacts due to varying climatic and landscape factors. The study identifies relative humidity and rainfall as key drivers of temperature variations during the summer months, reflecting Chengdu’s specific climatic idiosyncrasies. These insights are critical, as they highlight how urban planning and green infrastructure can be strategically used to mitigate adverse thermal effects. The research not only enhances understanding of the complex interplays within urban microclimates but also offers new perspectives on urban heat management. It contributes to the scientific community by providing evidence-based strategies for urban planners to counter the urban heat island effect and enhance urban resilience against climate change. This comprehensive analysis underscores the importance of incorporating multiple variables into urban climate models, lays the groundwork for more refined urban environmental policies and practices.

카자흐스탄 남부지역 거점 도시의 문화 정체성: 쉼켄트, 투르키스탄의 문화적 특성과 발전 정책 분석을 중심으로

This study focuses on the Central Asian country of Kazakhstan, and the scope of the research space includes Shymkent and Turkistan, cities of the southern region. There are a number of reasons why this region was chosen as the scope of the study, including the lack of existing domestic research. Administrative changes in the southern region took place in 2018. In the case of Shymkent, the ethnic composition and forms of economic trade are unique in relation to Uzbekistan. In the case of Turkistan, the city has recently established itself as a new tourism-specialised city, based on its perception as a spiritual city. In this context, this researcher aims to analyze the current status and cultural characteristics of these cities based on his own experience of visiting them, and to derive their cultural identities. In addition, I will discuss the urban development policies and future prospects that the Kazakh government is pursuing in both cities.

Evaluating Nighttime Governance Structures: Implications for Urban Policy in Night Mayor and Consultative Body Models

The rise of night mayors and other nighttime governance bodies represents an emerging model of urban governance. Vibrant nightlife scenes have become central to the identity and economy of global cities. However, the complex needs of nightlife stakeholders pose unique governance challenges. In response, some cities have instituted specialized offices of night mayor to oversee nighttime economic policy. This goal of this article is to examine this solution as a unique governance approach and compare the roles of night mayors to other nighttime consultative bodies like councils, commissions, panels, and boards. Taking into account all kinds of utility derived from nighttime activities, externalities, and stakeholders needs, the author differentiates night mayors’ concentrated leadership from the broader representation of advisory panels. It turns out that night mayors provide centralized oversight, while councils offer grassroots expertise. By working together they can create holistic strategies tailored to nighttime economies.

Gender Issues, Social Equity, and the Sustainable Management of Urban Transport Networks: An Italian Case Study

The paper contains transport and environmental analyses for the Gallipoli area and presents results from a consultation process involving transport operators, citizens, tourists, public employees, and stakeholders. Through statistical analysis of the data, the paper provides insights into the needs of specific user categories, highlighting gender issues and social equity as key aspects of urban policies. This paper further investigates users’ potential willingness to pay for general improvements in bus service quality and environmental conditions using discrete choice modeling. This study aims to address the challenge of understanding urban travel patterns and the underlying forces influencing user attitudes, which are often found in city surveys. Specifically, a Random Utility Model was used to profile users based on specially collected survey data. The results indicate the potential to meet latent systemic transport demand with more sustainable collective transport modes, particularly among women aged 19-29 who own a car. Simultaneously, there is a willingness to pay higher public transport tariffs for improved service, which is also largely environmentally sustainable. The paper can serve as a valuable resource for professionals in the transport and environmental sectors as well as for policymakers.

The interplay between social environment and opportunities for physical activity within the built environment: a scoping review

BackgroundThe association between social and built environments plays a crucial role in influencing physical activity levels. However, a thorough understanding of their combined impact remains unclear. This scoping review seeks to clarify the interplay between social environments and opportunities for physical activity within different built environments, with a particular focus on the implications of socioeconomic status and urban planning on physical activity participation.MethodsWe conducted a systematic literature search across several databases to identify studies exploring the associations between social factors, built environment characteristics, and physical activity levels. The inclusion criteria were studies published in English between 2000 and 2022, encompassing urban, suburban, and rural contexts. Thematic analysis was employed to categorise studies based on the specific aspects of the built environment they investigated (walking infrastructure, cycling infrastructure, parks and open spaces, and sports facilities) and the social determinants they examined.ResultsA total of 72 studies were included in the review, illustrating a multifaceted relationship between access to physical activity opportunities and social determinants such as socioeconomic status, community engagement, and urban design. The findings highlight the significant role of socioeconomic factors and the quality of PA infrastructure in promoting or hindering PA across communities. Effective urban planning was identified as crucial in providing expanded physical activity opportunities, notably through more pedestrian-friendly environments, comprehensive cycling infrastructure, and accessible green spaces and sports facilities.ConclusionsThis review emphasises the significant impact of socioeconomic status and urban planning on access to physical activity opportunities. This underscores the necessity for urban planning policies to adopt an inclusive approach, considering the varied needs of different population groups to ensure equitable access to physical activity resources. Such strategies are crucial for public health initiatives aimed at enhancing physical activity levels across diverse community sectors, offering a potential avenue to alleviate health disparities associated with inactivity.

Collaborative and professional accommodations on Airbnb: Exploring patterns for sustainable tourism management in Spain

This study analyses the characteristics of accommodation types (collaborative and professional) in Madrid, Barcelona, Seville, and Valencia. It examines location factors, including proximity to top tourist spots, concentration of Airbnb accommodations, and population density, to identify which accommodation type contributes to negative impacts in these cities. Additionally, it delves into pricing features, reviews, length of stay, accommodation services, and host characteristics to distinguish between collaborative and professional accommodations.Logistic regression analysis and Random Forest are used, employing 500 decision trees to explore non-linear and complex relationships. Partial dependence plots offer insights into how predictions evolve across different ranges, providing valuable information about the locations, population density, tenure, and reviews associated with the two accommodation types.The findings reveal that professional accommodations tend to be concentrated in areas with high population density and near major tourist attractions, exacerbating tourist overcrowding issues. Conversely, collaborative accommodations are situated more than 4 km away from the main tourist spots, potentially contributing to a more balanced distribution of tourists and avoiding excessive concentration.These findings have significant implications for urban tourism dynamics, offering valuable insights that can inform urban planning, policy development, and sustainable tourism practices.