Challenge For Urban Planners Research Articles

Open Data Supporting GIS-based Walkability Assessment: Case Study for City of Zagreb, Croatia

Abstract. The study presented in this paper aims to contribute to the broader discourse on urban planning challenges by presenting a preliminary walkability assessment for the city of Zagreb, Croatia. Using the open-source OS-WALK-EU walkability assessment tool and open government and data from OSM, we demonstrated how data-based walkability assessment can provide information to support relevant policy making. The assessment considered two walkability user perspectives, one focused on enjoying free time and other on daily obligations (e.g. commuting to work). Preliminary findings indicate that walkability index scores are higher in the city centre and decrease towards the periphery for both user perspectives. Additionally, the results indicate that despite different user perspectives give different walkability scores, these are almost uniform across Zagreb, making all the assessed districts equally attractive for both, enjoying free time and do daily obligations.

URBAN SATURATION IN ALGERIAN CITIES: FACTORS AND TREATMENT METHODS WITHIN THE FRAMEWORK OF URBAN SUSTAINABILITY: A CASE STUDY OF THE CITY OF TÉBESSA

Throughout history, cities have undergone transformations due to social, urban, environmental, and economic changes, which have contributed to altering their shape, and growth patterns. This evolution has led to continuous urban expansion in response to the increasing needs of the population, resulting in boundless urban sprawl. The constant effort to provide urban services has driven the integration of new land areas within the framework of urban expansion, often at the expense of the surrounding rural areas, which serve as the city's main life source. These rural areas are the primary base for urban expansion and simultaneously the main supplier of labor and raw materials. Currently, urban expansion in Algerian cities, in general, and in Tebessa in particular, poses challenges in urban development and planning. This situation calls for exploring alternative approaches when natural or human barriers prevent the optimal use of urban land in alignment with the city’s needs, leading to urban saturation. These approaches should consider the principles of sustainable urban development and rely on tools focused on protecting natural resources within and around the city, as cities are not only the main threat to the natural environment but also the first victims of its degradation.

Bridging the gap: challenges of urban planning and policies for favelas in Salvador, Brazil

Salvador, the capital of Bahia State in Brazil, has long struggled with pronounced economic and social inequality. This stratification has resulted in spatial segregation, leading to the expansion of favelas, typically near the city center, where segregation in various dimensions of social engagement intensifies tensions of inequities. The municipal government has made several attempts to address favela-related issues through urban planning policies. Notwithstanding the progress made in lowering violent crime and extreme poverty, these issues still exist. This paper explores the interaction between government-led practices and corresponding self-organized actions toward planning strategies, invoking a social justice framework and critical urban theories. It identifies mismatches between institutional objectives and residents’ expectations, highlighting that structural contradictions in the region’s social development remain unresolved. The analysis suggests that planning policies should consider key factors, such as resource redistribution, recognition of sociocultural identity, and political representation. On the basis of these findings, this paper offers insights into urban planning for favelas as examples of complex governance challenges. It also aims to contribute to the global discourse on similar urban planning issues.

Problematizing street vending: The uncanniness of a disembodied urban policy

ABSTRACT Street vending is an important source of livelihood for many urban dwellers in Africa but remains a challenge for urban policy and planning. This paper uses Ghana as a case study to examine how street vending is treated in urban policy frameworks. We use qualitative content analysis to critically review four major urban policies that shape the planning, development, and management of Ghanaian cities. Our findings reveal a misalignment of local urban policies with national policy on the regulation of street vending. The regulation of street vending is unclear, contradictory, and ineffective, failing to provide a clear policy direction and adequate planning tools for integrating street vending into urban spaces. We argue that these policy inconsistencies persist due to power imbalances and governance challenges, with local authorities maintaining ambiguous policies that benefit powerful stakeholders while keeping street vendors in a state of insecurity. We call for more coherent and inclusive policies that recognize the socioeconomic value of street vending and foster more inclusive urban spaces. We also highlight the need for reformed urban governance that empowers marginalized voices and builds cross-scale alliances to address the complexities of urban informality and support the informal economy.

NATURAL CHARACTERISTICS' IMPACT ON URBAN ENVIRONMENTAL QUALITY: A CASE STUDY OF AIN BEIDA CITY, ALGERIA

The city of Ain Beida struggles with a complex interplay of natural and technical characteristics that significantly influence its urban development, environmental quality, and overall sustainability. The city's natural components present both opportunities and challenges for urban planning and development. This paper explores the impacts of these factors on urban development and environmental quality. Additionally, it delves into the consequences of natural characteristics on urban development policies, addressing the dilemma between preserving green spaces and the imperative for urban expansion. Artificial obstacles pose challenges to urban expansion and impact security, as well as overall environmental health. Furthermore, the paper discusses the risks associated with natural and technological elements emphasising the importance of safety measures and emergency response protocols. The urban development policies of Ain Beida have undergone a shift primarily driven by limited land availability. Urban densification, aimed at optimizing land use, has been adopted, but it comes with environmental trade-offs. Considering the challenges and opportunities identified, the paper concludes with a set of recommendations.

Climate change, conflict, and urban migration

The adverse effects of man-made climate change and protracted conflict intensify rural-to-urban migration in many developing countries. This article examines the impacts of climate and conflict migration on urban environments and on migrants themselves. To trace the distinctive pathways by which climate change and conflict drive migration as well as shared challenges for urban planning and services, we employ qualitative case studies of Jordan, Pakistan, and Honduras informed by interviews and secondary literature. These countries are chosen as they exemplify the compounding, cumulative impacts of climate change and conflict on urban expansion and the challenges in providing adequate public services in these contexts. Across all three cases, climate hazards threaten rural livelihoods and agricultural productivity, increasing rural to urban migration, while civil conflict and gang violence further induce urban migration, both internally and across borders. In Jordan, we assess the impacts of increasing water scarcity and conflict-driven refugee flows on infrastructure and public services. Pakistan’s experience highlights the impacts of rapid-onset natural disasters, severe water scarcity, and enduring refugee flows from Afghanistan on environmental quality and pollution within cities. In Honduras, we analyze how increasing droughts and hurricanes, combined with gang presence in cities, affect migrants in terms of increased violence and negative physical and mental health impacts. Together, these cases illuminate the need for context-specific proactive policy measures that address the independent and interrelated ways that climate change and conflict lead to migration and the subsequent profound impacts on urban development and human well-being.

Sustainable Urban Planning Challenges in the Peri-Urban Landscape: Evaluating LULC Dynamics and the Policy Effectiveness of the Chattogram Metropolitan Region, Bangladesh

Understanding the dynamics of land use and land cover (LULC) change in today’s context of rapid urbanization is critical for sustainable urban planning and environmental conservation. Therefore, the research aim is to understand the LULC changes in the Chattogram Metropolitan Area and to assess the policy implications of these changes for sustainable urban development. Through a comparative analysis of LULC maps for two periods (1997–2007; 2007–2017), we investigated the transformation of a detailed planning zone before and after Detailed Area Plan (DAP) approval. Using quantitative data analysis and policy review, we elucidated the impacts of urbanization trends on local ecosystems—specifically the conversion of forest cover and waterscape use. The findings reveal a significant conversion of forested and waterscape areas to urban and peri-urban landscapes, highlighting the urgent need for sustainable planning interventions that focus on these peri-urban areas. The study further critiques the DAP’s effectiveness, revealing a disconnect between regional policy implementation and local outcomes. This research proposes a validated, scalable framework for urban master plans that adapts to the complex socioecological contexts of rapidly urbanizing regions.

Planning and reconstruction of the old city in the future

With the acceleration of urbanization, the renovation planning and renovation of old urban areas have become an important issue. This article conducts an in-depth analysis of a case study on the renovation and planning of an old urban area in China, exploring how to achieve modernisation and sustainable development of the old urban area while preserving its historical and cultural heritage This article adopts a case study method, selects typical cities as research objects, deeply analyses the practical process, effectiveness, and challenges of urban renovation planning and old house reconstruction, and proposes corresponding strategic suggestions. Through detailed analysis and comparison of the case, the aim is to provide useful reference and guidance for other cities in terms of renovation planning and old house reconstruction.

Proposal of a domain model for 3D representation of buildings in Ecuador.

The accelerated urban sprawl of cities around the world presents major challenges for urban planning and land resource management. In this context, it is crucial to have a detailed 3D representation of buildings enriched with accurate alphanumeric information. A distinctive aspect of this proposal is its specific focus on the spatial unit corresponding to buildings. In order to propose a domain model for the 3D representation of buildings, the national standard of Ecuador and the international standard (ISO 19152:2012 LADM) were considered. The proposal includes a detailed specification of attributes, both for the general subclass of buildings and for their infrastructure. The application of the domain model proposal was crucial in a study area located in the Riobamba canton, due to the characteristics of the buildings in that area. For this purpose, a geodatabase was created in pgAdmin4 with official information, taking into account the structure of the proposed model and linking it with geospatial data for an adequate management and 3D representation of the buildings in an open-source Geographic Information System. This application improves cadastral management in the study region and has wider implications. This model is intended to serve as a benchmark for other countries facing similar challenges in cadastral management and 3D representation of buildings, promote efficient urban development and contribute to global sustainable development.

Short-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities.

Short-term exposure to particles with aerodynamic diameters less than 2.5 μm (PM2.5) and ozone (O3) are important risk factors for human health. Despite the awareness of reducing attributable health burden, region-specific and source-specific strategies remain less explored due to the gap between precursor emissions and health effects. In this study, we isolate the health burden of individual sector sources of PM2.5 and O3 precursors, nitrogen oxides (NOx) and volatile organic compounds (VOCs), across the globe. Specifically, we estimate mortalities attributable to short-term exposure using machine-learning-based daily exposure estimates and quantify sectoral impacts using chemical transport model simulations. Globally, short-term exposure to PM2.5 and O3 result in 713.5 (95% Confidence Interval: 598.8-843.3) thousand and 496.3 (371.3-646.1) thousand mortalities in 2019, respectively, of which 12.5% are contributed by fuel-related NOx emissions from transportation, energy, and industry. Sectoral impacts from anthropogenic NOx and VOC emissions on health burden vary significantly among seasons and regions, requiring a target shift from transportation in winter to industry in summer for East Asia, for instance. Emission control and health management are additionally complicated by unregulated natural influences during climatic events. Fire-sourced NOx and VOC emissions, respectively, contribute to 8.5 (95% CI: 6.2-11.7) thousand and 4.8 (3.6-5.9) thousand PM2.5 and O3 mortalities, particularly for tropics with high vulnerability to climate change. Additionally, biogenic VOC emissions during heatwaves contribute to 1.8 (95% CI: 1.5-2.2) thousand O3-introduced mortalities, posing challenges in urban planning for high-income regions, where biogenic contributions to health burden during heatwaves are 13% of anthropogenic contributions annually. Our study provides important implications for temporally dynamic and sector-targeted emission control and health management strategies, which are of urgency under the projection of continuously increasing energy consumption and changing climate.

Impact of urban space on PM2.5 distribution: A multiscale and seasonal study in the Yangtze River Delta urban agglomeration

Despite concerted efforts in emission control, air pollution control remains challenging. Urban planning has emerged as a crucial strategy for mitigating PM2.5 pollution. What remains unclear is the impact of urban form and their interactions with seasonal changes. In this study, base on the air quality monitoring stations in the Yangtze River Delta urban agglomeration, the relationship between urban spatial indicators (building morphology and land use) and PM2.5 concentrations was investigated using full subset regression and variance partitioning analysis, and seasonal differences were further analysed. Our findings reveal that PM2.5 pollution exhibits different sensitivities to spatial scales, with higher sensitivity to the local microclimate formed by the three-dimensional structure of buildings at the local scale, while land use exerts greater influence at larger scales. Specifically, land use indicators contributed sustantially more to the PM2.5 prediction model as buffer zone expand (from an average of 2.41% at 100 m range to 47.30% at 5000 m range), whereas building morphology indicators display an inverse trend (from an average of 13.84% at 100 m range to 1.88% at 5000 m range). These results enderscore the importance of considering building morphology in local-scale urban planning, where the increasing building height can significantly enhance the disperion of PM2.5 pollution. Conversely, large-scale urban planning should prioritize the mixed use of green spaces and construction lands to mitigate PM2.5 pollution. Moreover, the significant seasonal differences in the ralationship between urban spatical indicatiors and PM2.5 pollution were observed. Particularly moteworthy is the heightened association between forest, water indicators and PM2.5 concentrations in summer, indicating the urban forests may facilitate the formation of volatile compunds, exacerbating the PM2.5 pollution. Our study provides a theoretical basis for addressing scale-related challenges in urban spatial planning, thereby forstering the sustainable development of cities.

Navigating the future of urban environments: A comprehensive analysis of contemporary urban planning

This article presents an in-depth exploration of the evolving landscape of urban planning, delving into its historical roots, contemporary practices, and future prospects. It begins by tracing the historical evolution of urban planning, highlighting the transition from the industrial revolution's response to urbanization challenges to the post-WWII era's shift towards sustainable planning. The discussion then progresses to contemporary urban design principles, emphasizing human-centric design, the integration of nature, and the importance of urban resilience in the face of climate change. Furthermore, the article examines the future trends and challenges in urban planning, focusing on the rise of smart cities, the critical role of community engagement, and strategies for sustainable urban expansion. This comprehensive analysis aims to provide a nuanced understanding of the complex interplay between urban development, environmental sustainability, and technological innovation, offering insights into creating more livable, resilient, and inclusive urban spaces.

Building recognition and classification using deep learning in civil engineering projects

The recognition and regulation of buildings are essential aspects of urban management to prevent illegal constructions and maintain public safety and resources. Traditional machine learning methods for building recognition often suffer from low accuracy and weak generalization capabilities due to their reliance on manually designed features. Traditional machine learning methods for building recognition often suffer from low accuracy and weak generalization capabilities due to their reliance on manually designed features. Therefore, the study of automatic, accurate building identification method is very necessary. Based on this, Introducing advanced algorithms like Faster R-CNN and DRNet signifies a significant step towards automating accurate building identification. The utilization of Faster R-CNN as a basic training model combined with DRNet demonstrates promising results in accurately recognizing buildings. The experimental analysis highlights the potential of the proposed method, achieving an impressive 82.1% mean Average Precision (mAP) for landmark buildings. Accurate prediction of building coordinates further strengthens the effectiveness of the proposed approach. Comparative analysis showcases the superiority of the proposed model in recognizing buildings not only in normal images but also in complex environmental settings. The successful implementation of advanced algorithms in building recognition contributes to more efficient urban management and development. Continued research in automatic building identification methods is crucial for addressing challenges in urban planning and management, ensuring sustainable city development.

Proposal of a domain model for 3D representation of buildings in Ecuador.

The accelerated urban sprawl of cities around the world presents major challenges for urban planning and land resource management. In this context, it is crucial to have a detailed 3D representation of buildings enriched with accurate alphanumeric information. A distinctive aspect of this proposal is its specific focus on the spatial unit corresponding to buildings. In order to propose a domain model for the 3D representation of buildings, the national standard of Ecuador and the international standard (ISO 19152:2012 LADM) were considered. The proposal includes a detailed specification of attributes, both for the general subclass of buildings and for their infrastructure. The application of the domain model proposal was crucial in a study area located in the Riobamba canton, due to the characteristics of the buildings in that area. For this purpose, a geodatabase was created in pgAdmin4 with official information, taking into account the structure of the proposed model and linking it with geospatial data for an adequate management and 3D representation of the buildings in an open-source Geographic Information System. This application improves cadastral management in the study region and has wider implications. This model is intended to serve as a benchmark for other countries facing similar challenges in cadastral management and 3D representation of buildings, promote efficient urban development and contribute to global sustainable development.

Dynamics and Predictions of Urban Expansion in Java, Indonesia: Continuity and Change in Mega-Urbanization

This paper is situated within the discussion of mega-urbanization, a particular urbanization process that entails a large-scale agglomeration. In this paper, our focus is on urbanization in Java, Indonesia’s most dynamic region. We add to the literature by investigating the change and prediction of the land use/land cover (LULC) of mega-urbanization in Java. This research uses a vector machine approach to support the classification of land cover change dynamics, cellular automata-Markov (CA Markov), and the Klassen typology technique. This paper indicates that major metropolitan areas are still expanding in terms of built-up areas, generating a larger urban agglomeration. However, attention should be also given to the urbanization process outside existing metropolis’ boundaries given that more than half of the built-up land coverage in Java is located in non-metropolitan areas. In terms of future direction, the projection results for 2032 show that the Conservative scenario can reduce and slow down the increase in built-up land on the island of Java. On the other hand, the Spatial Plan (RTRW) scenario facilitates a rapid increase in the LULC of built-up land from 2019. The urban spatial dynamics in Java raises challenges for urban and regional planning as the process is taking place across multiple administrative authorities.

Climate-induced migration and gender dynamics in Bangladesh: a social constructivist analysis

ABSTRACT Environmental migration is not a new phenomenon. Climate changes have caused migration from prehistoric times. With climate change exacerbating cyclones and floods, migration from coastal areas to major cities like Dhaka in Bangladesh has become more frequent and severe. This influx poses numerous urban planning challenges. Sometimes, it leads to human trafficking. The focus of this article is to develop a comprehensive understanding of the intricate relationships between gender norms and the availability of rights and opportunities. Women’s migration involves social and psychological effects as well as physical movement. This research examines the social constructivist perspective in the discourse surrounding climate-induced migration.

Traditional Chieftaincy in Sotouboua, Togo: A Land Regulation Institution on the Front Line of Urban Planning Challenges

Traditional Chieftaincy in Sotouboua, Togo: A Land Regulation Institution on the Front Line of Urban Planning Challenges

Morphological and biochemical changes in Quercus humboldtii in response to warmer and polluted urban areas in a tropical Andean city

Abstract The rapid growth of urban population has significantly changed human settlement patterns, leading to a decline in air quality and changes in climatic conditions in urban areas. Trees are recognized as nature-based solutions because they can remove particles from the air and regulate the climate. However, trees are negatively affected by pollution and temperatures, which represent a challenge for urban planning, management, and human health. To assess the impact of urban pollution and warmer climates on functional traits, we conducted a study using Quercus humboldtii, an endangered tree species endemic to Colombia and Panamá that dominates Andean forests and urban green areas in Bogotá. We selected three localities with contrasting pollution levels and climate conditions and measured 10 morphological and biochemical traits in six individuals at each location. Our findings revealed that Q. humboldtii adjusted morphological and biochemical traits in response to the environmental challenges posed by urban environments. The functional strategies varied between individuals with thin and large leaves and acidic pH in the colder and unpolluted native forest, while others displayed a conservative resource strategy (high leaf dry matter content) and neutral pH in the warmer and most polluted locality. Despite these differences, several traits indicate that Q. humboldtii is not a species tolerant to pollution. This is further supported by the air pollution tolerance index (APTI) values. Our results suggest that Q. humboldtii should be planted in areas of Bogotá with low pollution levels in order to promote its long-term survival and support ecosystem services.

Assessing the impact of urban planning policies on renewable energy: A case a China using the DID estimation model

The ongoing pace of urbanization poses a substantial obstacle to the concurrent progress of both financial and ecological development. Recognizing this challenge, governments globally are formulating cutting-edge strategies for urban renewal to ensure the long-term sustainability of cities. In this context, we employ a difference-in-differences model to scrutinize the intricate relationship between smart cities and the growth of renewable energy, utilizing the Chinese smart city pilot program as a pertinent experiment. This analytical approach provides novel insights into the underlying reasons behind this correlation. The research yields three noteworthy findings. Firstly, it underscores the indispensable role of pilot initiatives in smart cities for advancing the cause of renewable energy. Secondly, the study reveals a positive and beneficial interplay between creativity, economic inclusion, and the utilization of technological innovation in experimental urban programs, suggesting a potential multiplier effect. Thirdly, the local context significantly influences the impact of smart city pilots, with the dissemination of renewable energy being particularly effective in resource-rich, metropolitan, and coastal cities. Observable impacts of current smart city experiment on energy security and sustainable development are already apparent. The research findings contribute fresh perspectives to the complex challenges of sustainable energy production and urban planning, especially in developing countries like China.

Enhancing Urban Data Analysis: Leveraging Graph-Based Convolutional Neural Networks for a Visual Semantic Decision Support System.

The persistent increase in the magnitude of urban data, combined with the broad range of sensors from which it derives in modern urban environments, poses issues including data integration, visualization, and optimal utilization. The successful selection of suitable locations for predetermined commercial activities and public utility services or the reuse of existing infrastructure arise as urban planning challenges to be addressed with the aid of the aforementioned data. In our previous work, we have integrated a multitude of publicly available real-world urban data in a visual semantic decision support environment, encompassing map-based data visualization with a visual query interface, while employing and comparing several classifiers for the selection of appropriate locations for establishing parking facilities. In the current work, we challenge the best representative of the previous approach, i.e., random forests, with convolutional neural networks (CNNs) in combination with a graph-based representation of the urban input data, relying on the same dataset to ensure comparability of the results. This approach has been inspired by the inherent visual nature of urban data and the increased capability of CNNs to classify image-based data. The experimental results reveal an improvement in several performance indices, implying a promising potential for this specific combination in decision support for urban planning problems.