Urban Spatial Planning Research Articles

Decision-Making Approach for Land Use in Urban Industrial Area Redevelopment Projects

The process of industrial transformation, becoming the most important for building up sustainable cities, is in urgent need for studying alternative options for land use to ensure sustainable city development. Rapid urbanization requires new built-up design in strong correlation with urban spatial planning issues. The objective of this paper is to contribute for the studies of sustainable land use solutions through investigating the problems of the reorganization of depressed industrial areas. The research methodology is based on the multicriteria decision-making method to provide primarily social functions of depressed industrial areas, depending on environmental and economic aspects of their historical location in urban structure. Since the article highlights the concept of the 15-min city to build a polycentric urban spatial structure, the assessment of supply and demand matching of social facilities is based on the analysis of 15 min accessibility to the serviced within either industrial zone and the city on the whole. The GIS spatial analysis method supports the developed criteria set to evaluate main city functions. The research provides the methodology for defining the priority land use solution for a specific industrial area in a specific location. The proposed methodology suggests a procedure for evaluating the importance of the land use composition for the city community, considering environmental requirements and cost-effectiveness of the project. Three different industrial zones located in the same city are a case study to asses the reliability of the proposed methodology. The research conclusion provides implementing sustainable land-use solutions for improving urban environment quality as well as the quality of life for the population.

Travel self-containment of new towns in a polycentric city: insights from Shanghai with mobile phone data

ABSTRACT Travel self-containment has been a main issue in new town planning since the mid-twentieth century, but its assessment has long been a challenge, especially in a polycentric city where networked structure complicates travel behavior. Traditional methods, such as census investigations can hardly trace multidirectional commuting patterns of large samples nor disclose non-commuting patterns. This paper fills the void by using billions of passive mobile phone data by which the interval of stay in a particular location and its spatiotemporal regularity can be identified to capture phone users’ travel routes. Shanghai, a polycentric city that evolved under the longstanding development of the ‘One City, Nine Towns’ polycentric urban spatial plan, is selected to assess various types of travel. The results disclose the disparity of the inward, intra, lateral and reverse journeys of commuting and non-commuting routes and reveal how the specificity of new towns, e.g. distance to the central city and metro lines, matters for such disparity.

A Scene–Object–Economy Framework for Identifying and Validating Urban–Rural Fringe Using Multisource Geospatial Big Data

Rapid urbanization has led to the emergence of urban–rural fringes, complex transitional zones that challenge traditional urban–rural dichotomies. While these areas play a crucial role in urban development, their precise identification remains a significant challenge. Existing methods often rely on single-dimensional metrics or administrative boundaries, failing to capture the multi-faceted nature of these zones. This study introduces a novel “Scene–Object–Economy” (SOE) framework to address these limitations and enhance the precision of urban–rural fringe identification. Our approach integrates multisource geospatial big data, including remote sensing imagery, nightlight data, buildings, and Points of Interest (POI), leveraging machine learning techniques. The SOE framework constructs feature from three dimensions: scene (image features), object (buildings), and economy (POIs). This multidimensional methodology allows for a more comprehensive and nuanced mapping of urban–rural fringes, overcoming the constraints of traditional methods. The study demonstrates the effectiveness of the SOE framework in accurately delineating urban–rural fringes through multidimensional validation. Our results reveal distinct spatial patterns and characteristics of these transitional zones, providing valuable insights for urban planners and policymakers. Furthermore, the integration of dynamic population data as a separate layer of analysis offers a unique perspective on population distribution patterns within the identified fringes. This research contributes to the field by offering a more robust and objective approach to urban–rural fringe identification, laying the groundwork for improved urban management and sustainable development strategies. The SOE framework presents a promising tool for future studies in urban spatial analysis and planning.

Impact of Urban Form in the Yangtze River Delta of China on the Spatiotemporal Evolution of Carbon Emissions from Transportation

The impact of urban form on carbon emissions has become a crucial issue for sustainable socioeconomic development and the advancement of low-carbon cities. Transportation is a significant source of urban carbon emissions, highlighting the need for comprehensive research to aid China in achieving its carbon peak and neutrality goals. Currently, there is a lack of quantitative studies exploring the effects of urban form on transportation-related carbon emissions. This paper seeks to quantify the effect of urban form on the spatial and temporal patterns of transportation carbon emissions, utilizing panel data from 27 cities in the Yangtze River Delta (YRD) region of China, covering the years 2000 to 2020. First, CO2 emissions from transportation are estimated following IPCC guidelines, with Moran’s I utilized to analyze spatial autocorrelation. Next, urban form indicators are quantified based on landscape ecology theory. Finally, econometric models are employed for regression analysis of the panel data. The findings reveal that urban complexity, compactness, and expansion influence transportation carbon emissions to varying degrees, with urban expansion and complexity associated with increased emissions, while compactness contributes to their reduction. This study offers theoretical support and a scientific basis for low-carbon urban spatial planning and development, underscoring the importance of urban form in emissions reduction strategies.

Transforming urban air quality: Green infrastructure strategies for the urban centers of Ethiopia

Urban green infrastructure (GI) plays a crucial role in improving air quality by removing pollutants and reducing emissions from structures. However, in Ethiopia, inadequate GI planning, largely due to limited awareness among planners and policymakers, can undermine the benefits of GI and worsen urban air quality issues. In this study, we demonstrate how the GI strategy approach can enhance air quality and assess the negative impacts of biogenic volatile organic compounds (BVOCs) emitted by certain tree species in Ethiopia, using Hawassa as a case study. We utilized a customized i-Tree Eco model to estimate annual pollutant removal and BVOC emissions and applied the Kriging method in ArcGIS to map their spatial distribution. In Hawassa, GI systems removed 274.2 t of pollutants annually, valued at $1.79 million, with SO2 being the most and CO the least removed pollutants. Air pollution removal was highest during the dry season (37.4%) compared to the long (29.7%) and short rainy seasons (32.9%). Conversely, trees emitted 35.78 t of BVOCs annually, with monoterpene and isoprene being nearly equal contributors. Eucalyptus genus, Casuarina equisetifolia, and Schinus molle species were the top BVOC emitters despite their low population percentages in the study area. While GI types such as urban parks and institutional compounds are effective at pollutant removal, they also exhibit higher BVOC emissions. Our findings highlight the need for optimized species selection, improved GI planning, and enhanced policy support to maximize GI effectiveness, providing valuable insights for planners and policymakers in integrating GI into urban spatial planning.

Investigating spatial and temporal characteristics and elements influencing running among residents of Nanchang city in green open areas

Understanding the exercise behaviors of urban residents in green open spaces is crucial for optimizing future urban spatial planning and improving residents’ quality of life. This study provides an in-depth analysis of residents’ running behaviors across 87 green open spaces in Nanchang City. Running data collected from the exercise platform Keep, coupled with urban geographic data and field research, reveals the spatial distribution and temporal variations of running activities, including running flow, distance, time, and pace. A set of indicator systems, such as total area, landscape form index, surrounding residential land area, and road conditions, is used to analyze its relationship with the environmental elements of green open spaces. The research results show that the running flow, running distance, and running time in green open spaces in Nanchang City are significantly influenced by different objective elements, while running pace shows little correlation with these environmental elements. Specifically, the study highlights the significant impact of elements such as total area and road length, as well as the number of nearby bus stops and population density, on residents’ running behaviors in Nanchang City’s green open spaces.

A Methodological Framework for High-Resolution Surface Urban Heat Island Mapping: Integration of UAS Remote Sensing, GIS, and the Local Climate Zoning Concept

The urban heat island effect (UHI) is among the major challenges of urban climate, which is continuously intensifying its impact on urban life and functioning. Against the backdrop of increasingly prolonged heatwaves observed in recent years, practical questions about adaptation measures in cities are growing—questions that traditional meteorological monitoring can hardly answer adequately. On the other hand, UHI has long been the focus of research interest, but due to the technological complexity of providing accurate spatially referenced data at high spatial resolution and the requirement to survey at strictly defined parts of the day, information provision is becoming a major challenge. This is one of the main reasons why UHI research results are less often used directly in urban spatial planning. However, advances in geospatial technologies, including unmanned aerial systems (UASs), are providing more and more reliable tools that can be applied to achieve better and higher-quality information resources that adequately characterize the UHI phenomenon. This paper presents a developed and tested methodology for the rapid and efficient assessment and mapping of the effects of surface urban heat island (SUHI). It is entirely based on the integrated use of data from unmanned aerial systems (UAS)-based remote sensing methods, including thermal photogrammetry and GIS-based analysis methods. The study follows the understanding that correct SUHI research depends on a proper understanding of the urban geosystem, its spatial and structural heterogeneity, and its functional systems, which in turn can only be achieved by supporting the research process with accurate and reliable information resources. In this regard, the possibilities offered by the proposed methodological scheme for efficient geospatial registration of SUHI variations at the microscale, including the calculation of intra-urban SUHI intensity, are discussed in detail. The methodology builds on classical approaches for using local climate zoning (LCZ), adding capabilities for precise delineation of individual zone types and for geostatistical characterization of the urban surface heat island (SUHI). Finally, the proposed scheme is based on state-of-the-art technological tools that provide flexible and automated capabilities to investigate the phenomenon at microscales, including by enabling flexible observation of its dynamics in terms of heat wave manifestation and evolution. Results are presented from a series of sequential tests conducted on the largest residential area in Bulgaria’s capital city, Sofia, in terms of area and population, over a relatively long period from 2021 to 2024.

Analysis of Urban Spatial Morphology in Harbin: A Study Based on Building Characteristics and Driving Factors

With the advancement of urbanization, the complexity and diversity of urban spatial forms have become increasingly prominent, profoundly and widely affecting aspects such as urban spatial layout and planning, as well as residents’ quality of life. This paper focuses on the buildings in Harbin City, comprehensively reflecting the spatial form of Harbin through multiple dimensions including building height, volume, and area. This research precisely quantifies three key indicators of urban buildings: building coverage, building expandability, and building staggeredness. Subsequently, these indicators are intertwined with the main driving factors of urban development (including economic development and resident population) to conduct a multidimensional spatial form analysis. The results indicate that the diversity of Harbin’s urban spatial form is the result of the interplay of multiple factors, including economic and demographic influences. These analytical outcomes not only reveal the evolution mechanism of Harbin’s current urban spatial form but also provide data support and theoretical basis for future urban planning and management.

The Practice of Urban Planning In Managing Urban Expansion: The Case of Level-I Towns in Southern Ethiopia

The world’s urbanization continues to grow rapidly occurring in developing regions. The rapid pace of urbanization without equivalent economic growth causes uneven spatial dispersion, land speculation, urban sprawl, ecological damage, and socio-cultural chaos. Urban planning is a key tool in managing such urbanization and particularly urban expansion challenges through several strategies. The objective of this study is to evaluate the practice of urban planning in managing urban expansion by applying both quantitative and qualitative research approaches. The first-hand data was collected by a structured questionnaire survey, interview, and physical observation, whereas secondary data was analyzed from spatial and non-spatial data of the study towns, national urban policy and strategy documents, and the national urban development spatial plan. Descriptive analysis, principal factor analysis, spatial trend analysis, and content analysis techniques were applied with the help of the SPSS and GIS analysis tools to reach the findings. The practices of urban planning in managing the urban expansion of the study town were evaluated on the basis of factors including urban spatial growth management, community engagement, economic change, and peri-urban communities’ understanding of urban planning. The major findings indicated that these variables are poorly practical, and their failure has been collectively posing significant obstacles to the effectiveness of urban planning. This implies that the urban planning practice in managing urban expansion was insignificant in the study towns. Therefore, it is best to use the alternative expansion area planning strategy, that promotes planned spatial growth, community inclusivity, mixed economic activity, environmental sustainability, and the community’s awareness of expansion areas.

Dynamics of Cultural Landscape on Idjen Boulevard as an Icon of Heritage Street Corridor in Malang City - Indonesia

The dynamic development of the city has brought about significant physical and environmental changes in Malang City, impacting the increasingly blurred identity of heritage areas. One such area is Idjen Boulevard, representing an icon of the heritage road corridor in Malang City. To comprehend the evolving nature of these heritage areas, it is essential to conduct studies documenting their past conditions and dynamics across various historical periods: the Colonial period, the Old Order period (the beginning of Indonesian independence), the New Order period, and the Reformation period. This comprehensive approach aims to understand the changes that occurred in each time periodization within each zone/road segment. These insights are crucial for determining future development control steps through targeted regulations. The research employs the Interpretive Historical Urban Landscape method, focusing on thirteen components that constitute the Cultural Landscape. This method involves analyzing the results of observations, both from literature and field sources, supported by tools such as CAD Mapper, Google Earth, Google Street View, GISTARU (an interactive urban spatial detail plan), and SketchUp. These tools are instrumental in obtaining findings about the hierarchy of changes in cultural landscape components and the dynamics within each zone of the specified observation unit.

Geospatial approach to pluvial flood-risk and vulnerability assessment in Sunyani Municipality

Historically, and in recent times, efforts have been to understand, predict, analyze, and quantify floods and their impacts in various countries of the globe. Although recent scientific advances have introduced approaches to assessing the risks presented by flooding, little studies have been carried out in the Sunyani Municipality of Ghana for generating a pluvial flood-risk and vulnerability map for risk identification, resilience, emergency preparedness, and urban spatial planning. In this study, five parameters that influence both pluvial and fluvial flooding were assessed to map flood-prone areas within the Sunyani Municipality. These are precipitation, drainage density, LULC, elevation, and slope, which were integrated in GIS. Using an AHP, weights were assigned to each parameter based on its level of influence on flooding. The findings reveal that 21.32 % of the Sunyani Municipality lies within a highly flood-prone area, 39.65 % in a flood-prone area, while 28.06 % and 10.97 % in slightly flood-prone and not flood-prone areas respectively. Built-up areas close to watersheds with lower elevations and larger drainage density are the places that are highly flood-prone. Some towns within the highly flood-prone and flood-prone areas are Abesim, Newtown, Nkwarbeng, Baakoniaba, Kootokrom, and Penkwase. Highly valued infrastructure such as schools, churches, and hospitals have also been found within these highly flood-prone areas. These findings can aid the government and relevant stakeholders in disaster risk management to be better informed, and to effectively plan and prevent flood challenges in the Sunyani Municipality. Moreover, urban spatial planners in the study setting can consider incorporating the flood hazard maps generated from this study into their spatial plans for proactive physical developments.

Quantifying Regulating Ecosystem Services of Urban Trees: A Case Study of a Green Space at Chungnam National University Using i-Tree Eco

Urban green spaces (UGSs) provide numerous ecosystem services (ESs) that are essential to the well-being of the residents. However, these services are often neglected in regional urban development and spatial planning. This study quantified the ESs of a 10.25 ha UGS at Chungnam National University, Daejeon, Republic of Korea, comprising 27 species with 287 tree individuals, using i-Tree Eco. Key regulating ESs investigated included air pollution removal, carbon storage and sequestration, oxygen production, energy use reduction, avoidance of surface runoff, and replacement and functional values. Results revealed significant annual environmental benefits: 131 kg air pollutants removed (USD 3739.01 or ₩5.16 M), 1.76 Mg carbon sequestered, which is equivalent to 0.18 Mg CO2 ha−1 yr−1 (USD 289.85 or ₩0.40 M), 2.42 Mg oxygen produced, energy savings (including carbon offset) valued at USD 391.29 (₩0.54 M), and 203 m3 reduction in surface runoff (USD 413.09 or ₩0.57 M). The annual total benefits of these urban trees amounted to USD 4833.86 (₩6.67 M), USD 16.83/tree, or USD 0.089/capita. Additionally, these trees had replacement and functional values estimated at USD 311,115.17 (₩429.3 M). The study underscores that species selection and abundance of urban trees are fundamental for maximizing the ES delivery in urban areas, highlighting the role of UGSs in ecological and economical sustainability in cities. These insights are valuable for urban planners and policymakers to optimize benefits of UGSs in cities.

Construction of Urban Spatial Intelligent Planning and Design System Under the Background of Big Data

Based on the induction of potentially utilisable micro-spaces in typical old residential communities, this study selects the communities located at 19 and 22 Yuhe Street, Taiyuan City, Shanxi Province, as typical research objects. By employing space syntax analysis, the spatial properties of these micro-spaces are examined and matched with the activity needs of various age groups within the community. By leveraging the characteristics of activity periods for all age groups, the study also proposes a composite design for less disruptive activity spaces. Consequently, optimisation suggestions for the renovation of public spaces in these two communities are presented, aiming to specifically meet the activity needs of residents of all ages within the limited space of the community. This research provides an analytical framework and methodological approach for the renovation strategies of old residential communities.

Emerging technologies in urban design pedagogy: augmented reality applications

In the contemporary era of urban design, the advent of big data and digital technologies has ushered in innovative approaches to exploring urban spaces. This study focuses on the application of Augmented Reality (AR) and Extended Reality (XR) technologies in the metropolitan areas of Houston and Amsterdam. These technologies create immersive 'Phygital Installations' that blend physical and digital elements, effectively capturing people's perceptions and enhancing urban design proposals. By fostering human-centered planning, AR and XR technologies make urban design more interactive and accessible to the public. Houston, with its rapid industrial growth and diverse socio-economic landscape, provides a unique setting to examine the impacts of these technologies on urban form and socio-environmental dynamics. In contrast, Amsterdam, with its rich historical layers and socio-cultural diversity, offers insights into the integration of AR/XR technologies in urban planning, particularly in the realm of historical preservation and contemporary urban development. This research contributes to the emerging field of AR/XR in urban design by highlighting the transformative potential of these technologies in enhancing the understanding and engagement in urban design and spatial planning.

Rethinking urban spatial planning and industrial development approaches in Ethiopia: bridging gaps for better outcomes

Urbanization is occurring at an unprecedented rate in developing countries like Ethiopia, especially with the rapid growth of industrialization. However, this urbanization and industrial development surge puts immense pressure on preparing and implementing city spatial plans. Urban spatial planning plays a crucial role in shaping the development of cities, aiming to create livable and sustainable urban development. The plan-making process and its subsequent implementation often encounter challenges that hinder the realization of planned objectives. Galan and Dukem, cities near Addis Ababa’s capital, have seen substantial industrial investment in recent decades. This article explores the challenges associated with urban spatial planning and industrial development while proposing alternative approaches. The paper relies on information gathered from primary and secondary sources, including expert surveys and key informants’ interviews. The research highlights that industrial developments have led to significant and uncontrolled changes in urban land use and urbanization in the study areas. Due to the lack of clear planning guidelines and institutional capacity, the study cities are experiencing haphazard development without effective urban spatial plans. Proximity to Addis Ababa has driven the urbanization process through increased investments. The article contends that effective management of urbanization and industrialization can create enjoyable living conditions and foster job growth. Macroeconomic policies, including industrial policies, should pay attention to spatial elements and prevent policy-making processes that are “space-blind”. This, however, requires clairvoyance and a high level of expertise, integrating inputs from advocacy planning and community participation to bridge gaps and ensure effective urban spatial plans and industrialization processes.

Terra infirma: On the base map in urban cartography and GIS

This article investigates the ways in which base maps are a fundamental, but under-recognised, starting point for planners, architects, cartographers and geographic information scientists in urban spatial planning and decision-making contexts. Focusing on the case study of a collaborative mapping project with the Wood Street Commons, an unhoused community in West Oakland, it contends that base maps create a cartographic terra infirma, fundamentally shaping the process of negotiations over urban space in ways that reinforce possessive logics and normalize property as central to the function of the city. Base maps do so by paradoxically absenting all people – with the effect of absenting the occupation of land by unhoused people, while shielding property owners from view while enacting their possession through infrastructure, parcel boundaries and land features. We argue this privileging inherent in the urban base map ultimately fuels a process of “unbecoming” ( Fraser, 2018 ) – a simultaneous invisibilizing and reproduction of spatial inequality – and in response, call for attention towards the politics of base maps from urban cartographers, planners, architects and spatial scientists alike.

Pemodelan Spasial Pengaruh Ruang Terbuka Hijau (RTH) Dengan Mengukur Tingkat Kadar Gas (Karbon Monoksida) (Studi Kasus: : Kelurahan Entrop Distrik Jayapura Selatan)

This research aims to model the impact of Green Open Space (GOS) on Carbon Monoxide (CO) gas levels in Entrop Village, South Jayapura District. Green Open Space plays a crucial role in improving air quality in an area. In the context of rapid urbanization and increasing motor vehicle numbers, GOS serves as the city's lungs, capable of absorbing pollutants and improving air quality. The research method used is spatial modeling, which allows mapping the distribution of GOS and measuring CO levels on the main roads of Entrop Village. Primary data was obtained through field surveys using CO measuring instruments, while secondary data was obtained from various literature sources and reports from related agencies. Data analysis was conducted using statistical and spatial approaches to identify the relationship between GOS and CO levels. The results showed a significant negative relationship between the extent of GOS and CO levels. The larger the GOS area, the lower the CO concentration in the area. Spatial modeling also identified high CO concentration points in areas with low GOS density. Furthermore, this research found that uneven distribution of GOS contributes to variations in air quality (CO) in different locations. These findings highlight the importance of effective GOS management as part of air pollution control strategies in large cities. Recommendations from this research include increasing the number and distribution of GOS in areas with high CO concentrations, and integrating GOS into urban spatial planning to create a healthier and more sustainable environment. This research makes a significant contribution to sustainable urban planning by emphasizing the importance of integrating GOS into spatial planning to improve air quality and environmental health. Thus, the results of this research can serve as a reference for the government and stakeholders in formulating future GOS management and air pollution control policies.

Coupling Hyperbolic GCN with Graph Generation for Spatial Community Detection and Dynamic Evolution Analysis

Spatial community detection is a method that divides geographic spaces into several sub-regions based on spatial interactions, reflecting the regional spatial structure against the background of human mobility. In recent years, spatial community detection has attracted extensive research in the field of geographic information science. However, mining the community structures and their evolutionary patterns from spatial interaction data remains challenging. Most existing methods for spatial community detection rely on representing spatial interaction networks in Euclidean space, which results in significant distortion when modeling spatial interaction networks; since spatial community detection has no ground truth, this results in the detection and evaluation of communities being difficult. Furthermore, most methods usually ignore the dynamics of these spatial interaction networks, resulting in the dynamic evolution of spatial communities not being discussed in depth. Therefore, this study proposes a framework for community detection and evolutionary analysis for spatial interaction networks. Specifically, we construct a spatial interaction network based on network science theory, where geographic units serve as nodes and interaction relationships serve as edges. In order to fully learn the structural features of the spatial interaction network, we introduce a hyperbolic graph convolution module in the community detection phase to learn the spatial and non-spatial attributes of the spatial interaction network, obtain vector representations of the nodes, and optimize them based on a graph generation model to achieve the final community detection results. Considering the dynamics of spatial interactions, we analyze the evolution of the spatial community over time. Finally, using taxi trajectory data as an example, we conduct relevant experiments within the fifth ring road of Beijing. The empirical results validate the community detection capabilities of the proposed method, which can effectively describe the dynamic spatial structure of cities based on human mobility and provide an effective analytical method for urban spatial planning.

Impediments to urban land development and transformation in Tanzania: evaluating conventional approaches and proposing innovative solutions

Urban land development involves converting rural land into urban land suitable for various purposes such as residential, commercial, industrial, mixed-use development, and infrastructure services. The urban land development in Tanzanian cities faces numerous challenges rooted in colonial-era practices and the coexistence of customary and formal land ownership systems. This study thoroughly examines the limitations of conventional land development approaches and their impacts on spatial planning. This study compares traditional land acquisition and development with innovative, self-financing, cost-effective strategies. The study deployed a mixed methodology comprising questionnaire surveys and interviews to address specific objectives for improving urban land development practices. The findings highlight the potential of innovative strategies in catalysing urban development and spatial planning, offering a promising path forward. It emphasises the need to integrate diverse approaches to address infrastructure challenges, enhance spatial planning, and protect the interests of affected communities, thereby fostering a more sustainable and equitable urban landscape.

Protests in urban environments: review and research agenda

Abstract Although knowledge about the role of space in the field of social movement studies is already well established, it is rarely discussed within the framework of urban spatial design (with some important exceptions). We consider not only how political power is related to architectural design in urban environments but also how it is performed (and contested) during protests within these spaces. We argue that urban spatial planning should address the dual nature of street demonstrations. Public assemblies are seen as symbols of democracy, but they are also disruptive and may turn into riots. This tension is evident along two design lines: facilitating and obstructing street demonstrations in a built-up urban environment. In our essay, we show that street protests are an immanent part of neoliberal democracy, and that cities cannot avoid street demonstrations or simply exclude them in the design process.