Urban Policy Makers Research Articles

Urban form and its impacts on air pollution and access to green space: A global analysis of 462 cities.

A better understanding of urban form metrics and their environmental outcomes can help urban policymakers determine which policies will lead to more sustainable growth. In this study, we have examined five urban form metrics-weighted density, density gradient slope, density gradient intercept, compactness, and street connectivity-for 462 metropolitan areas worldwide. We compared urban form metrics and examined their correlations with each other across geographic regions and socioeconomic characteristics such as income. Using the K-Means clustering algorithm, we then developed a typology of urban forms worldwide. Furthermore, we assessed the associations between urban form metrics and two important environmental outcomes: green space access and air pollution. Our results demonstrate that while higher density is often emphasized as the way to reduce driving and thus PM2.5 emissions, it comes with a downside-less green space access and more exposure to PM2.5. Moreover, street connectivity has a stronger association with reduced PM2.5 emissions from the transportation sector. We further show that it is not appropriate to generalize urban form characteristics and impacts from one income group or geographical region to another, since the correlations between urban form metrics are context specific. Our conclusions indicate that density is not the only proxy for different aspects of urban form and multiple indicators such as street connectivity are needed. Our findings provide the foundation for future work to understand urban processes and identify effective policy responses.

Urban infrastructure patching: Citizen-led solutions to infrastructure ruptures

This article explores how citizens respond to ruptures and problems in the places they inhabit by enacting adaptive improvised and incremental urban infrastructure patching. This might relate to citizens deciding to undertake small scale interventions in their communities to develop solutions to problems that are being overlooked by local government; or it might involve a community response to an ongoing systemic place-based problem that formal agencies involved in managing change are not addressing. This paper develops the concept of urban infrastructure patching with reference to conceptual debates and informed by research undertaken in Birmingham, UK. Drawing upon observations, interviews, and collective art projects, citizen-led urban patching is identified as an important urban intervention process that emerges in response to tensions between professional urban policymakers’ ostensive views of a place and the lived experiences of inhabitants. Cities are in a continual process of becoming and this includes the impacts of citizen end-user adaptive and incremental patching to maintain and enhance urban social-material environments. Two distinct contributions are made. First, citizen-end-user urban patching is based on residents’ experiences of perceived or actual ruptures in local urban infrastructure. Secondly, patching in response to ruptures is an individual and collective response. As a collective response, the power of numbers can bring about transformational change in places, but such participatory action is often viewed as challenging existing hegemonic power structures associated with representative democracy, whereas citizen-led responses can serve as a useful and parallel activity to urban government if it is legitimised.

Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal

With the development of online real estate trading platforms, multi-modal housing trading data, including structural information, location, and interior image data, are being accumulated. The accurate appraisal of real estate makes sense for government officials, urban policymakers, real estate sellers, and personal purchasers. In this study, we propose an interpretable multi-modal stacking-based ensemble learning (IMSEL) method that deals with various modalities for real estate appraisals. We crawl the structural and image data of real estate in Chengdu city, China from the nation's largest real estate transaction platform with the location information, including public services, within 2 km of the real estate using Baidu map. We then compare the predictive results from IMSEL with those from previous state-of-art methods in the literature in terms of the root mean square error, mean absolute percentage error, mean absolute error, and coefficient of determination (R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ). The comparison results show that IMSEL outperformed the other methods. We verified the improvement of introducing a data transformation strategy and deep visual features through a 10-fold cross-validation. We also discuss the managerial implications of our research findings.

Living Space: The Contemporary Housing Environment as a Place for the Family

This paper discusses housing areas from the perspective of meeting the livingneeds of families. In recent decades, significant changes have been observedin Poland both in terms of the formation of new housing complexes and insocial expectations regarding living conditions. The new housing complexesdiffer significantly from the traditional, typical ones with distinctive architectureand low-standard common spaces, commonly referred to as panel blockhousing estates. Previous research on housing environment quality generallypoints to the need to create developments that provide the highest possiblequality of life. These studies focused on the problems of one particular groupof residents, such as children, seniors or people with disabilities. However,families, which make up a significant portion of the population and are importantusers, have not been adequately addressed in urban planning studies to date.Therefore, this problem merits investigation and existing research methods orurban development concepts that can be used to evaluate residential areasshould be identified as should factors and spatio-functional characteristics ofresidential areas that can influence the creation of high-quality space for families.This study, based on a literature review, evaluated two selected developmentmodels in terms of providing optimal living conditions for families. It was foundthat current proposals may be useful in determining features of family-dedicatedspace, yet they display a range of deficiencies that should be addressed.The study’s conclusions can be used as a basis for further investigation and asrecommendations in the context of planning and urban policymaking

Impact of Urban Form on CO₂ Emissions Using a STIRPAT Model: Focusing on 15 cities in South, Southeast and West Asia

The United Nations (UN) estimates that an additional 2.5 billion people will reside in urban areas by 2050. Due to rapid economic development and urbanization, urban areas are responsible for more than 70% of global greenhouse gas (GHG) emissions from final energy use. Rapid urbanization will predominantly occur in emerging nations, particularly in Asia, where more than four billion people reside, accounting for around 55% of the world’s population. However, the temporal and spatial characteristics of urban structure in emerging cities and their correlations with GHG emissions are hardly understood, despite the fact that urban form is an important determinant of urban sustainability. Given this context, the study aims to evaluate the dynamics of urban form using three key measurements—population density, Moran’s index, and population gradient coefficient—in the capital cities of South, Southeast, and West Asia and investigate how urban form affects CO₂ emissions. The study employs a modified STRIPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model as its major framework, using panel data from 2000 to 2019 with a five-year gap. The results indicate that the evolution of urban form varies from city to city while the population density continues to increase with slight variations in Moran’s and population gradient coefficients. Considering the changes in the three indicators over time in the cities under study, it can be concluded that urbanization in the researched areas is generally getting more compact. Moran’s index is a statistically significant factor concerning CO₂ emissions, indicating that CO₂ emissions could be lowered in cities with more clustered forms. The findings of this research have major implications for urban policy-makers seeking to explain the dynamics of urban form, how it evolves in developing countries, and how CO₂ emissions are affected.

An alternative approach to estimating agglomeration and productivity using geography, demography and evidence from satellite imagery

ABSTRACT In this article we combine novel geographical, demographic and satellite data with an instrumental variables (IVs) estimation approach to tackle a thorny set of data and econometric issues. Studies of agglomeration effects on economic productivity at the city scale have been growing in popularity in both the literature and the interests of urban policymakers in recent years. Despite growing sophistication in econometric approaches, underlying weaknesses in the quality and availability of data at the city scale have hindered efforts to unravel the endogeneity issues, or circularity between city scale, amenity and productivity. We set out both to extend the agglomeration literature to the case of Australia – which hitherto has been lightly studied in this field – and to take advantage of Australia’s unique geography and reliance on migration to drive population change. We also draw on satellite data measuring night-time luminosity as a proxy for economic productivity. We demonstrate the construction of convincing and robust IVs that proxy for population at the city scale. Our econometric estimates indicate that a 1% increase in city populations causes productivity to be enhanced by 0.24–1.70% on average.

THE GOVERNANCE OF MIGRATION AND URBAN WITH MULTILEVEL ACTORS

Cities are centres of attraction where the population increases rapidly through migration. The urban context, in which social differences and cultural change are addressed, is not independent of governance discussions. It is undeniable that cities, being diverse entities, cannot be handled with a unified governmental strategy. In this respect, the host country's urban policymaking, which incorporates immigrants, introduces multilevel governance. To comprehend this, the factors that create the multiple migration governance from a sociological viewpoint will be reviewed first, followed by an in-depth examination of the numerous aspects of this management form. The challenges generated by the present theoretical framework will be reviewed in the last section, which is the most significant difference and contribution of the study. This part opens space to further researches and questions to clarify urban governance and migration. The role of civil society and NGOs, as well as city diplomacy and independence from central authority, will be highlighted.As a result, the study presents the findings that multiple actors have active functions not only at the national level but also at the international level.

A Circularity Mapping Framework for Urban Policymaking

In the context of urban policies, the circular economy can represent a virtuous model of sustainable and efficient management of resources and services for citizens, generating value for the community. Local policymakers play a central role in accelerating the circular economy transition, given that they organize and manage services that can significantly contribute to urban resilience. For policies to be properly designed, tools aimed at supporting territorial planning are needed to direct local policy towards choices that favor the circular economy and the resilience of cities. Among these urban planning tools, it is particularly important to have dashboards of comparative data on the degree of implementation of the circular economy. This paper provides a circularity mapping framework to map the degree of circularity and identify cities&amp;#39; strengths and weaknesses to design policies accordingly using a data-driven approach. Using a circular economy model based on 5 circular economy pillars, we identified 28 variables and assigned them to each of the pillars according to the variable&amp;#39;s scope: sustainable inputs, social sharing, Product as a service, environmental policies, and resource efficiency. Both partial scores based on the five circular economy pillars, and a circularity index are provided for benchmarking and positioning analysis. Since urban life&amp;#39;s environmental, economic, and social aspects are intertwined, only an integrated strategy can result in successful urban sustainable development. The paper supports policymakers in creating the conditions for efficient production and consumption markets and resource management systems while designing incentives and communications to citizens to support bottom-up initiatives and encourage virtuous behavior.

Efficacy of Korea’s Diagonal Plane Restriction for Daylight: Focusing on South-North Direction Blocks within Seoul’s General Residential Districts

Since the beginning of the 20th century, daylight access-related regulations have been an integral part of urban development. The Diagonal Plane Restriction in South Korea is one such regulation. This paper evaluates the effectiveness of the policy by investigating buildings in General Residential Districts in Seoul and the factors that have influenced its success. First, selected buildings were analyzed based on their relative core locations, massing morphology, and the glazing proportions on the south elevations. The initial results showed that nearly 50% of the selected buildings had cores on the south side, thus limiting daylight infiltration to the habitable spaces with a glazing ratio under 30%. Secondly, binary logistic regression was performed between identified types and variables to identify the primary factors affecting the ineffective arrangement. The year of a building’s construction and its primary use can significantly predict the effective applicability of a restriction. Lastly, further descriptive analysis shows how policy changes directly contributed to the growth of low-performing types and commercial uses in residential districts. The results of this study point to the shortcomings of urban policy-making without considering the particulars of each urban context. Our findings could assist planners and policy-makers in redesigning regulations for ensuring optimal daylight access in residential districts.

Impact of Ride-Hailing Services on Transportation Mode Choices: Evidence from Traffic and Transit Ridership

The rise of technology-enabled ride-hailing services has affected individuals’ transportation-related decisions. The impact of these ride-hailing services likely varies across traveler segments that differ in their usage of various modes of transportation. In this paper, we develop and leverage a framework that allows us to examine the impact of ride-hailing services on the transportation mode choice for three traveler segments: drivers (who primarily use a personal automobile to travel), riders (who primarily use public transit to travel), and walkers (who primarily use non-motorized modes of transport). We first develop a framework outlining how the behavior of different traveler segments would be impacted by the introduction of ride-hailing services and show how this affects traffic congestion and public transportation ridership. To test the framework, we compiled a rich dataset, combining data on public transportation ridership, traffic congestion, and individual transportation mode choice. Employing a difference-in-differences methodology, we show that the Uber entry in a market enabled those who were walkers and riders prior to the entry of Uber to travel more conveniently, leading to an increase in traffic congestion, and induced those who were drivers to substitute their use of private automobiles with a combination of Uber and public transit. We introduced urban compactness to assess the heterogeneous impact of ride-hailing services for cities that differ in their distribution of traveler segments. We found that Uber entry increases traffic congestion and reduces public transit demand more in cities with higher levels of urban compactness, i.e., where the proportion of riders and walkers is higher than that of drivers. This work provides a holistic framework to understand the mechanism underlying the impact of ride-hailing services on public transit and traffic congestion. Urban planners and policy makers can leverage our framework, methodology, and empirical results to guide city planning decisions that have implications for sustainability.

The stay coefficient: a novel quantification of the relationship between stay time and travel time for urban shopping behavior analysis

ABSTRACT Shoppers typically want to spend an amount of time at a destination that is proportional to the travel time required to arrive there; thus, the travel time can be considered the cost of their trip. This is likely to be the case across regions with different urban structures and cultures. The purpose of this study was therefore to analyze the shopping behaviors contained in travel survey data from three metropolitan areas in Japan to identify common patterns and indicators based on travel time and stay time, thereby obtaining an understanding to inform future trade area analyses. Both the travel time and stay time associated with shopping behavior were found to be log-normally distributed regardless of metropolitan area, and four shopping behavior patterns common among the metropolitan areas were identified. The “stay coefficient” was then defined to express the elasticity of stay time according to travel time, and its values were similar according to shopping behavior pattern regardless of metropolitan area. The stay coefficient proposed in this study can therefore be applied to identify shopping behavior patterns in any urban area based on the relationship between travel time and stay time, realizing a novel approach to the analysis of and marketing for trade areas when planning the construction or renovation of commercial facilities. This approach can help inform the decisions of urban policy makers, marketing advisors, and commercial facility operators, and should be of interest to researchers and practitioners working with geospatial, shopping, and other human behavioral characteristics.

Migrations and culture. Essential reflections on wandering human beings.

It is possible that our century and the one just past will be remembered in the future as the centuries of migration. Faced with the extent of migration today, social scientists have posed several questions, and in particular they have examined the causes of migration, the integration of immigrants into host countries, and the development of their cultural identity. The newcomers are almost always poorer than those who settled before them, and have different languages, physical appearance, customs, beliefs, and religious practices. The widespread perception is that of an upheaval of the social order. For some, it is the dawn of a new world, under the banner of métissage (or hybridization) and universal brotherhood; for most, it is the beginning of an invasion. Immigration is always a matter of borders: Who is "us"? Who is "them"? The host society has the power to define, classify, and construct the social category of immigrants. There are many differences within this category and obviously any strategic policy should be able to manage every specificity. Nevertheless, we need starting by focusing the more general ideal type of what is "otherness" and what it can be in the social representations in order to construct new conditions of encounter. In this scenario, urban spaces represent the stages on which the encounter with difference takes place. The space is never neutral and may affect, sometimes significantly, the conditions of that encounter. The physical form of the city is the result of widespread social representations of all phenomena, but it is also able to act on those same social representations by altering the processes that take shape within it. The urban dimension and the redesign of the urban space become increasingly key to shaping and managing social processes aimed at governing the transformation processes in a multi-ethnic sense of the European societies. Urban policy-makers can either wait for spontaneous processes of integration and virtuous composition of differences, or implement actions to manage differences, to prevent potential conflicts and start processes of active inclusion. In order to support the act of wandering within this second pattern of urban policies, moving from simple tolerance to a Habermasian process of dialogical exchange, at least two conditions are necessary: the existence of shared public spaces, and the quality of policies for regulating the use of urban public spaces.

Community gardens as a response to the contradictions of sustainable urban policy: Insights from the Swiss cities of Zurich and Lausanne

In this paper we explore how policy discourses on urban sustainability impact the governing of urban food gardening in favoring community gardens. Our main hypothesis is that community gardens better accommodate the tensions created by the discourses of the compact and green city compared to other types of food gardening, especially allotment gardens. In the context of the Swiss cities of Lausanne and Zurich, analysis of policy documents confirms this hypothesis by identifying four frames that orient policies toward favoring community gardening: (i) Adapting green space planning to densification favors community gardening with their modest, flexible and multifunctional design, (ii) Revaluating the role of urban food gardening in urban sustainability represents community gardening as a new multifunctional benchmark, (iii) Reorganizing urban food gardening fosters diversity in gardening opportunities which in turn supports a variety of forms of community gardening, (iv) Justifying urban food gardening through public values and needs supports community gardening with their cost-efficient green space management, lower land management and more active citizen participation. In this vein, urban policymakers continually turn to community gardens as a strategic urban planning tool that gives urban green space greater legitimacy in the wake of the densifying city. Overall, urban food gardens continue to be negotiated between space-related marginalization and socio-political significance serving different needs to urban citizens. This results in the need of a more sophisticated planning approach considering different types of urban gardens related to their location in the built city, associated functions, and user groups.

Comparing satellite image and GIS data classified local climate zones to assess urban heat island: A case study of Guangzhou

Cities are frontlines to tackle climate change challenges including the urban heat island (UHI) effect. The classification and mapping of local climate zones (LCZs) can effectively and consistently describe the urban surface structure across urban regions. This study pays attention to two mainstream methods in classifying LCZs, namely, by using geographic information system (GIS) data such as building footprints or remote sensing (RS) satellite images. Little has been done to compare the divergence and coherence of the abovementioned two methods in modeling UHI. Thus, by comparing pairwise LCZ classes of different urban form characteristics in Guangzhou, this study investigated how GIS- and RS-based approaches complement or conflict with each other in explaining the variance of UHI measured by land surface temperature (LST). First, while both GIS-based (R2 0.724) and RS-based (R2 0.729) approaches can effectively explain heat risks measured by LST, the RS-based method slightly outperforms the GIS counterpart. Second, the sizes of LCZs classified by two methods in urban core districts tend to converge but diverge in urban outskirts with disparities in low-rise urban forms. Both approaches found that LCZs with higher heights are all cooler among compact forms. LCZ E is always related to the highest average LST, and LCZ 7, 8, and 10 contribute significantly to heat islands from both GIS and RS results. This study has developed a comparable framework that is evident based for city planners, architects, and urban policy makers to evaluate which approaches can more accurately reveal relations between UHI and urban geometry with land cover.

Influencing factors of the thermal environment of urban green space

Several heat records have been broken in recent years and decades. Extreme high temperature not only damages human health, but also increases the risk of wildfires. As a common urban infrastructure, urban green space has been proved to have a cooling effect. In this study, the physical indicators and temperature data of 36 green spaces in Xi'an were collected, and the influence of different physical indicators of green spaces on their thermal environment was explored through correlation analysis. The results suggest that the area of green space should be between 0.6-0.7 square kilometers or the perimeter should range from 4000 to 4500 m in order to obtain the lowest internal temperature. When the area of water body in the green space is between 0.3-0.4 square kilometers or the perimeter is about 5000 m, its internal temperature is the lowest. Indicators of green space in the conclusion can be directly understood and referred by urban planners and policy makers. Results of this study thus have implications for improving urban thermal comfort by controlling the physical indicators of green space.

Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy

Predominantly, dense historical cities face insufficient pedestrian-level greenery in the urban spaces. The lack of greenery impacts the human thermal comfort on the walking paths, which contributes to a considerable reduction in pedestrian flow rate. This study aims at developing a model to assess pedestrian-level thermal comfort in city environments and then evaluate the feasibility of creating a green pedestrian network (GPN). Imola, as a historical city in Italy with a compact urban pattern, is selected as the case study of this paper. To accomplish this, a three-dimensional digital twin at city scale is developed for the recognition of real-time shade patterns and for designing a GPN in this city. The 3D model of the proposed digital twin is developed in the Rhinoceros platform, and the physiological equivalence temperature (PET) is simulated through EnergyPlus, Honeybee, and Ladybug components in grasshopper. This study provides the city with a digital twin that is capable of examining pedestrian-level thermal comfort for designing a GPN based on real-time PET in the compact urban morphology of Imola. The PET model indicates that during the hottest hour of the 25th of June, pedestrians in open spaces can experience 3 °C more than on narrow shaded streets. The results are validated based on in situ datasets that prove the reliability of the developed digital twin for the GPN. It provides urban planners and policy makers with a precise and useful methodology for simulating the effects of pedestrian-level urban greenery on human thermal comfort and also guarantees the functionality of policies in different urban settings.

A Transformer-Based Machine Learning Approach for Sustainable E-Waste Management: A Comparative Policy Analysis between the Swiss and Canadian Systems

Efficient e-waste management is crucial to successfully achieve sustainable urban growth universally. The upsurge in e-waste has resulted in countries, including Canada, adopting a wide array of policies associated with sustainable management. In this study, we conducted a mixed-method analysis of Canadian e-waste management policies to showcase the opportunities and limitations of the current system. We examine and compare the effectiveness of electronic waste management strategies in Canada and Switzerland using a comparative policy evaluation and by quantitatively measuring their efficiencies through two efficiency methods, namely a transformer-based, bidirectional, unsupervised machine learning model for natural language processing (NLP) and data envelopment analysis (DEA). Switzerland is utilized as a comparison case due to its robust legal framework that has been in place for proper management e-waste in order to enhance Canada’s electronic waste management system. The policy considerations presented in this study are directed toward urban planners, policy makers, and corporate strategists. These involve a mix of political, economic, social, and environmental planning tools concerning how to communicate and foster competent e-waste management in these countries. This is the first study to incorporate DEA and NLP-based BERT analysis to identify the most efficient policy deployment concerning e-waste management.

Urban Planning in the 15-Minute City: Revisited under Sustainable and Smart City Developments until 2030

The 15-minute-city concept represents an increasingly popular urban policymaking and planning paradigm that seeks to shift attention to the neighborhood as a “place” rather merely a spatial and functional planning unit. The core premise of the concept is that critical urban services and amenities should be reachable within 15 min of walking or cycling from a residence. The urban-planning principles that enable the realization of the 15-minute city variably embody planning in mixed-use neighborhood units, proximity-based planning, planning for active transport, citizen participation in planning, and innovation and intelligence-driven planning. We revisit these urban-planning premises in the light of emerging social, physical, and structural developments through 2030, with a focus on European cases. The findings provide important additions and recommendations to the urban-planning principles of 15-minute cities along the themes of proximity-based planning, the use of land and urban form, urban governance and citizen participation, and inclusive digitalization. The paper moves the discussion on the 15-minute city forward and will be helpful for urban planners, policymakers, and scholars seeking to envision and create a more sustainable, inclusive, and vibrant future in cities.

Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model

The expansion of built-up area is the most noticeable form of urbanization-induced land use/land cover (LULC) change. In the global cities of south, the urban sprawl is increasing rapidly with even higher probabilities of future built-up expansion. These cities are witnessing unsustainable urban growth with no consideration of eco-friendly environmental condition and quality of life due to rapid expansion in built-up area. Indian cities too have been witnessing rapid urban growth and built-up expansion especially in the large metropolitan cities like Delhi. Therefore, the main objective of this study is to model the built-up expansion probabilities in Delhi National Capital Region (Delhi NCR) using remote sensing datasets and an integrated fuzzy logic and coupling coordination degree model (CCDM). For this, initially, the LULC classification was done using random forest (RF) classifier to extract the built-up area. Further, analytical hierarchy process (AHP) integrated fuzzy sets were applied using the extracted built-up area along with a set of economic, demographic, proximity parameters, topographic, and utility services. Five zones of built-up expansion probabilities were made namely very high, high, medium, low and very low. The result shows that the probability of built-up expansion in Delhi NCR is maximum under very high and high probability zones, whereas minimum expansion probabilities come in the very low probability zone for both base year i.e., 2018 and future years. Moreover, between base year and future years, the probability of built-up expansion has increased maximum (5.72%) under the very high zone while it declined by 14.06% in low probability zone. The validation of built-up probability using CCDM shows that the AHP integrated fuzzy logic-based probability model is robust while predicting built-up probability. The results of this study may provide useful insights for the urban planning department and policy makers to mitigate the adverse impacts of built-up expansion. Similar approach may be utilized in the analyzing the built-up urban expansion of other major cities of the world similar geographical conditions.

Spatial structure of city population growth

We show here that population growth, resolved at the county level, is spatially heterogeneous both among and within the U.S. metropolitan statistical areas. Our analysis of data for over 3,100 U.S. counties reveals that annual population flows, resulting from domestic migration during the 2015–2019 period, are much larger than natural demographic growth, and are primarily responsible for this heterogeneous growth. More precisely, we show that intra-city flows are generally along a negative population density gradient, while inter-city flows are concentrated in high-density core areas. Intra-city flows are anisotropic and generally directed towards external counties of cities, driving asymmetrical urban sprawl. Such domestic migration dynamics are also responsible for tempering local population shocks by redistributing inflows within a given city. This spill-over effect leads to a smoother population dynamics at the county level, in contrast to that observed at the city level. Understanding the spatial structure of domestic migration flows is a key ingredient for analyzing their drivers and consequences, thus representing a crucial knowledge for urban policy makers and planners.