Hasil untuk "Urban renewal. Urban redevelopment"

A. Ogunnaike, E. Morka, Akeelah Sigha

In developing nations like Nigeria, urban revitalization has emerged as a critical response to the challenges of rapid urbanization. This study adopts a qualitative research approach to examine the history, strategies, and objectives of urban renewal, focusing on how revitalization, redevelopment, rehabilitation, and conservation methods can address urban decay and socioeconomic inequality. Drawing from global case studies—including Edinburgh, Xi’an, New York’s High Line, and Melbourne’s Docklands—the research identifies effective strategies such as adaptive reuse, green infrastructure, and smart technology. The study also assesses how these strategies are applied within the Nigerian context, with particular attention to the urban renewal efforts in Abuja led by Minister Nasir El-Rufai. Despite the promise of these initiatives, the study finds that challenges such as limited community participation, weak public trust, and inadequate urban data hinder their effectiveness. Through document analysis and review of existing literature and reports, the study proposes a holistic, participatory framework that emphasizes policy reform, inclusive planning, sustainable infrastructure, and cultural preservation. Ultimately, it advocates for urban renewal practices that not only improve the built environment but also enhance residents' quality of life, economic resilience, and environmental sustainability across modern African cities.

Xiaojuan Li, Yun Lin, Jiajing Lu et al.

Abstract China’s rapid urbanization has intensified energy consumption and carbon emissions, underscoring the urgency of low-carbon urban renewal strategies. The impacts of urban renewal on the community deserve to be evaluated to inform the mode and direction of implementation. However, the knowledge base lacks a comprehensive framework for evaluating the public sense of gain (SOG). This study aims to develop and measure indicators of public SOG in low-carbon urban renewal. A questionnaire survey was conducted among residents from different occupations, and an empirical study was carried out in Fuzhou. Both traditional fuzzy and cloud model-based fuzzy comprehensive evaluation methods were applied. The results showed that the economic dimension exerted the strongest influence, with an expected value of 4.04 in the cloud model. In addition, structural equation modeling (SEM) was used to perform a first-order confirmatory factor analysis (CFA), which validated the internal structure of the SOG evaluation system. All standardized loadings exceeded 0.6, and composite reliability (CR) values exceeded 0.8, verifying the model’s good fit. The proposed evaluation framework helps fill a methodological gap and provides a rational tool to measure public SOG in low-carbon urban renewal. The findings could support more inclusive and sustainable urban redevelopment practices and offer practical guidance for policy and implementation.

Ziqi Zhang

This article, from the perspective of urban renewal, delves deeply into the redevelopment ideas of inefficient industrial land in Hangzhou and Huzhou. By analyzing the policy systems, model innovations and implementation achievements of the redevelopment of inefficient industrial land in the two regions, comparing the similarities and differences in the promotion process, summarizing experiences and putting forward differentiated suggestions for the transformation of industrial land and industrial upgrading in other cities, the aim is to provide theoretical support and practical references for improving land use efficiency, promoting industrial upgrading and high-quality urban development.

Fatma Gözde Köseoğlu

This study examines the critical role of urban policies and public investments in urban renewal processes, while also attempting to explain the transformation of these processes into real estate development projects. It discusses the decision-making processes that establish the conditions for urban renewal and questions the outcomes created by the shift of urban renewal processes, initially driven by public investments, into the control of the private sector. The research highlights the dynamic interaction between private sector investments and urban renewal, while also addressing the consequences of the diminishing role of the public sector and its failure to provide guidance during the implementation phase. Findings suggest that public sector plans and policies initially played a crucial role in creating an investment-friendly environment, encouraging private sector participation. Urban policies, such as strategic infrastructure investments and public investments, provided a strong foundation for regeneration. However, field work data reveal that the public sector gradually withdrew from its guiding role, leaving renewal efforts largely to private sector interests. This withdrawal led to shifts in focus and project outcomes, resulting in the abandonment of key urban projects and disrupting the intended renewal trajectory. The study underscores the importance of maintaining a balanced public-private partnership in urban renewal processes. It argues that public sector involvement is crucial not only for the equitable disruption of benefits but also to prevent socio-economic segregation. The study concludes that sustainable and inclusive urban renewal requires continuous public sector engagement to uphold its regulatory and guiding roles throughout the transformation process.

Geng Lin, S. Ou, Junfan Lin et al.

This article examines Lingnan Tiandi (LNTD), a renowned urban renewal project in the city center of Foshan in southern China, as a case study to demonstrate discursive practices and their power of spatial production, thereby enhancing our understanding of urban redevelopment in Chinese cities. Drawing insights from Foucault’s discourse/power perspective of interpretation, this study examines how the discourse system is constructed by actors related to the project, and how power is produced through discursive practices such as representation, dissemination, replacement, and superposition to shape the urban heterotopia during the gentrification process. The planning discourse of state authorities and the developer, through the accumulation, folding, clipping, and abolishment of time, jointly defines the attributes and redevelopment mode of the public space in LNTD, completing the anamorphosis of the city center and producing a space existing in reality but is inverted in order. By actively and positively responding to the discursive practices of state authorities and the developer in a consumerism-oriented manner, the discourse of consumers generates a representation system moving toward the planning discourse. As a set of relations, the discourses of multiple actors are ubiquitous and interwoven in urban renewal projects. They jointly produce the urban heterotopia through the interpretation of meaning and the spatiotemporal splicing of a hybrid cityscape. Unlike previous studies that focused on supply or demand-side mechanisms, we contend that the spatial production power of discourse is a critical socialized force driving the ongoing gentrification in many Chinese cities.

Arnold Maximillian, L. Jonatan

As of 2018, the Semarang City Government is rejuvenating the Semarang Old City Area to restore the potential of the city area, from an economic, cultural, and tourism perspective. The redevelopment of Marabunta Resto and Bar is one of the concrete forms of adapting the concept of urban renewal to the Old Town Area of Semarang. This building is a replica of a theatre building during the Dutch colonial era, better known as Schouwburg. Qualitative methods through historical studies were used to analyze the changes in form, aesthetics, and old functions. This study aims to look at the application of the urban renewal concept to the Marabunta Resto and Bar building as an effort to restore the initial spirit of Schouwburg. The application of the urban renewal concept to the Marabunta Resto and Bar building is also in line with the sustainable design principles of the Semarang Old Town area. Keywords: urban renewal, Marabunta, sustainable, Semarang Old Town area

Y. Oh

This study aims to analyze the housing supply structure and the implementation status of redevelopment projects in Busan, while proposing activation measures to expand housing supply. Although the government has continuously pursued policies to increase housing supply in urban centers, Busan faces limitations due to its high proportion of aging housing and delays in redevelopment procedures, which restrict the actual effectiveness of supply expansion. The analysis revealed three key structural problems in Busan's redevelopment projects: first, the deepening dependence of the housing supply structure on redevelopment projects; second, prolonged delays in the early and middle stages of project implementation; and third, substantial regional disparities. Many redevelopment zones remain at the preliminary feasibility review or early designation stage, resulting in low short-term contributions to housing supply. Furthermore, in core urban areas such as Yeongdo, Jung-gu, and Sasang-gu, where 70–80% of housing is overaged, project feasibility is relatively low, leading to severe delays in implementation. Coupled with a sharp decrease in rental housing availability and a decline in new housing completions, these factors have collectively intensified residential instability in Busan.

Rui Cao, Wei Tu, Dongsheng Chen et al.

The shift toward high-quality urbanization has brought increased attention to the issue of "urban villages", which has become a prominent social problem in China. However, there is a lack of available geospatial data on urban villages, making it crucial to prioritize urban village mapping. In order to assess the current progress in urban village mapping and identify challenges and future directions, we have conducted a comprehensive review, which to the best of our knowledge is the first of its kind in this field. Our review begins by providing a clear context for urban villages and elaborating the method for literature review, then summarizes the study areas, data sources, and approaches used for urban village mapping in China. We also address the challenges and future directions for further research. Through thorough investigation, we find that current studies only cover very limited study areas and periods and lack sufficient investigation into the scalability, transferability, and interpretability of identification approaches due to the challenges in concept fuzziness and variances, spatial heterogeneity and variances of urban villages, and data availability. Future research can complement and further the current research in the following potential directions in order to achieve large-area mapping across the whole nation...

Yue Sun, Ryan Weightman, Anye Shi et al.

Urbanization is rapidly increasing, with urban populations expected to grow significantly by 2050, particularly in developing regions. This expansion brings challenges related to chronic stresses and acute shocks, such as the COVID-19 pandemic, which has underscored the critical role of urban form in a city's capacity to manage public health crises. Despite the heightened interest in urban resilience, research examining the relationship between urban morphology and pandemic resilience remains limited, often focusing solely on density and its effect on disease transmission. This work aims to address this gap by evaluating existing frameworks that analyze the relationship between urban resilience and urban form. By critically reviewing these frameworks, with a particular emphasis on theoretical and quantitative approaches, this study seeks to transfer the knowledge gained to better understand the relationship between pandemic resilience and urban morphology. The work also links theoretical ideas with quantitative frameworks, offering a cohesive analysis. The anticipated novelty of this study lies in its comprehensive assessment of urban resilience frameworks and the identification of the current gaps in integrating resilience to pandemic thinking into urban planning and design. The goal is not only to enhance the understanding of urban resilience but also to offer practical guidance for developing more adaptive and effective frameworks for assessing resilience to pandemics in urban environments, thereby preparing cities to better withstand and recover from future crises.

Sijie Yang, Binyu Lei, Filip Biljecki

Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising three key dimensions: multidimensional analysis, data support, and AI assistance.

Shangyu Lou

Urban Artificial Intelligence (Urban AI) has advanced human-centered urban tasks such as perception prediction and human dynamics. Large Language Models (LLMs) can integrate multimodal inputs to address heterogeneous data in complex urban systems but often underperform on domain-specific tasks. Urban-MAS, an LLM-based Multi-Agent System (MAS) framework, is introduced for human-centered urban prediction under zero-shot settings. It includes three agent types: Predictive Factor Guidance Agents, which prioritize key predictive factors to guide knowledge extraction and enhance the effectiveness of compressed urban knowledge in LLMs; Reliable UrbanInfo Extraction Agents, which improve robustness by comparing multiple outputs, validating consistency, and re-extracting when conflicts occur; and Multi-UrbanInfo Inference Agents, which integrate extracted multi-source information across dimensions for prediction. Experiments on running-amount prediction and urban perception across Tokyo, Milan, and Seattle demonstrate that Urban-MAS substantially reduces errors compared to single-LLM baselines. Ablation studies indicate that Predictive Factor Guidance Agents are most critical for enhancing predictive performance, positioning Urban-MAS as a scalable paradigm for human-centered urban AI prediction. Code is available on the project website:https://github.com/THETUREHOOHA/UrbanMAS

Wayne Wu, Honglin He, Chaoyuan Zhang et al.

Micromobility, which utilizes lightweight mobile machines moving in urban public spaces, such as delivery robots and mobility scooters, emerges as a promising alternative to vehicular mobility. Current micromobility depends mostly on human manual operation (in-person or remote control), which raises safety and efficiency concerns when navigating busy urban environments full of unpredictable obstacles and pedestrians. Assisting humans with AI agents in maneuvering micromobility devices presents a viable solution for enhancing safety and efficiency. In this work, we present a scalable urban simulation solution to advance autonomous micromobility. First, we build URBAN-SIM - a high-performance robot learning platform for large-scale training of embodied agents in interactive urban scenes. URBAN-SIM contains three critical modules: Hierarchical Urban Generation pipeline, Interactive Dynamics Generation strategy, and Asynchronous Scene Sampling scheme, to improve the diversity, realism, and efficiency of robot learning in simulation. Then, we propose URBAN-BENCH - a suite of essential tasks and benchmarks to gauge various capabilities of the AI agents in achieving autonomous micromobility. URBAN-BENCH includes eight tasks based on three core skills of the agents: Urban Locomotion, Urban Navigation, and Urban Traverse. We evaluate four robots with heterogeneous embodiments, such as the wheeled and legged robots, across these tasks. Experiments on diverse terrains and urban structures reveal each robot's strengths and limitations.

Yu-Lun Song, Chung-En Tsern, Che-Cheng Wu et al.

This study presents an innovative approach to urban mobility simulation by integrating a Large Language Model (LLM) with Agent-Based Modeling (ABM). Unlike traditional rule-based ABM, the proposed framework leverages LLM to enhance agent diversity and realism by generating synthetic population profiles, allocating routine and occasional locations, and simulating personalized routes. Using real-world data, the simulation models individual behaviors and large-scale mobility patterns in Taipei City. Key insights, such as route heat maps and mode-specific indicators, provide urban planners with actionable information for policy-making. Future work focuses on establishing robust validation frameworks to ensure accuracy and reliability in urban planning applications.

Anqi Wang, Wei Zheng, Zheng Tan et al.

Urban renewal in high-density cities presents a complex challenge when it comes to balancing social-environmental performance and economic benefits; improvements to the built environment and social wellbeing may be associated with substantial costs and economic loss, and particularly so where land resources are scarce and highly valued. The interplay that takes place between sustainable targets tends to be very complicated. This study proposes a decision-making support framework that can quantify the synergies and trade-offs between economic, environmental, and social targets pertaining to land use change and public open space (OS) provision in urban renewal processes. The proposed decision-making support framework operates at both neighbourhood and building levels, and is comprised of three analytical components: a redevelopment trend analysis module, a three-dimensional land use simulation module, and a sustainable performance evaluation module. One high-density and ageing district in Hong Kong, Yau Mong district, was selected as the case study area for this work. Six planning scenarios were built which reflect various priorities and principles including economic benefits, environmental benefits, the equal distribution of OS provision and enhancing the quality of OS. The findings suggest that there is a trade-off relationship between economic-environmental targets, a synergic relationship between social-environmental targets, and a mediational relationship between economic-social targets. Planning strategies such as rezoning, land use reconfigurations, plot ratio adjustment and the transfer of development rights could be triangulated as strategic approaches by which to maximising the synergies and achieve better sustainability. The study not only contributes to theory by introducing a prototype of a comprehensive decision-making framework to evaluate sustainability performance, but also provides important insights into reconciling the divergent sustainable targets inherent in urban renewal.

Wei Zhang, Fulai Li, Hailei Tang

As China’s economy transitions to a high-quality development stage, urban renewal is viewed as an important strategy for promoting the optimization of urban spatial structure and quality enhancement. This paper incorporates the concept of urban renewal into the redevelopment of urban inefficient land use. This paper attempts to build a systematic theoretical system of inefficient land use redevelopment by redefining its connotation in cities and towns. The objective is to provide some inspiration and reference for promoting in-depth research on the theory of inefficient land redevelopment.

Daphna Levine, Shai Sussman, Meirav Aharon-Gutman et al.

This research introduces a pioneering methodology and user-friendly online dashboard for examining population shifts during urban redevelopment in Bat Yam, Israel, part of the Tel Aviv Metropolitan Area. The simulation tool, operated through scripts, predicts how redevelopment scenarios will impact household demographics over time. Its output is a population track-change CSV file detailing demographic changes. The accompanying online dashboard visually presents these changes, making the data accessible to policymakers and planners. The tool’s consideration of environmental factors enhances its applicability in identifying vulnerable populations and resilient communities amidst urban renewal. This user-friendly approach, compatible with existing planning tools, underscores the article’s significance in advancing urban planning practice and addressing societal needs.

سید جلال الدین حسینی, آزیتا رجبی, افشین سفاهن et al.

توسعه حمل‌ونقل عمومی محور، یکی از راهکارهای مهم و مصادیق توسعه پایدار شهری است که به‌منظور حل معضلات ترافیکی و بهبود شرایط حمل‌ونقل در شهرها مورداستفاده قرار می‌گیرد. در این رویکرد، برنامه‌ریزی و گسترش حمل‌ونقل عمومی، به‌عنوان جایگزینی برای استفاده از خودروهای شخصی و حمل‌ونقل خصوصی مطرح شده است. منطقه 11 شهرداری تهران یکی از مناطق مرکزی شهر تهران است که دارای بار ترافیکی بالایی است و به‌تبع آن با مشکلاتی در سیستم حمل‌ونقل شهری خود مواجه است. در تحقیق مذکور، باهدف انطباق شاخص‌های توسعه حمل‌ونقل عمومی محور با وضعیت فعلی منطقه 11 شهر تهران و بازپس‌گیری شهر از فضای خودرو محور به فضای انسان‌محور، شاخص‌های استاندارد توسعه حمل‌ونقل عمومی محور به‌عنوان مبنای تحلیل و رتبه‌بندی بررسی‌شده‌اند. در این رویکرد، با توجه به شاخص‌های مختلف، میزان قابلیت منطقه برای تحقق توسعه حمل‌ونقل عمومی محور ارزیابی گردیده است. به‌این‌ترتیب، این تحقیق به مسئولین و برنامه‌ریزان شهری کمک می‌کند تا بر اساس نتایج به‌دست‌آمده، راهکارهای مناسبی برای بهبود حمل‌ونقل در منطقه 11 شهر تهران ارائه دهند. روش تحقیق پژوهش حاضر ازنظر هدف؛ کاربردی و ازنظر متدولوژی توصیفی و ازنظر روش جمع‌آوری اطلاعات مبتنی بر روش‌های کتابخانه­ای – اسنادی و مطالعات میدانی بوده و در تحلیل اطلاعات نیز از نرم‌افزار سیستم اطلاعات جغرافیایی و روش­های رتبه­بندی و در مقایسه تطبیقی، از ضریب ناموزونی موریس و روش بی‌مقیاس خطی و از نرم‌افزار Choice Expert برای تحلیل سلسله­مراتبی AHP استفاده شده است. با توجه به نتایج حاصله، می‌توان گفت که منطقه 11 شهرداری تهران، به‌رغم داشتن پتانسیل بالا برای تحقق توسعه حمل‌ونقل عمومی محور، در شرایط فعلی ظرفیت تبدیل‌شدن به یک مرکز توسعه حمل‌ونقل عمومی محور را ندارد و جهت تبدیل‌شدن باید تغییرات وسیعی در ساختارهای فضایی آن ایجاد شود.

علی اکبر سالاری پور, آرمان حمیدی, عالیه فریدی فشتمی et al.

امروزه بخش بزرگی از رفتارهای محیط زیستی شهروندان تحت تأثیر ارتباط و میزان دلبستگی آن‍ها با شهر است. به‌طوری‌که دلبستگی به مکان و شهر مؤلفه‌ای حیاتی در پرورش شهروندان حامی محیط‌زیست محسوب می‍گردد. پژوهش حاضر از نوع توصیفی- کمی می‍باشد. جهت جمع‍آوری اطلاعات باهدف سنجش تأثیر میزان دلبستگی به شهر و همچنین خصوصیات فردی شهروندان، بر بروز رفتارهای حامی محیط زیستی در میان شهروندان، تعداد 402 پرسشنامه از طریق ساکنین شهر رشت تکمیل شده است. داده‍های به‌دست‌آمده از پرسشنامه‍ها به‌صورت کمی وارد نرم‌افزار SPSS شده و سپس با استفاده از نرم‌افزار Smart PLS3 به مدل‌سازی و تجزیه‌وتحلیل یافته‍ها پرداخته شده است. نتایج پژوهش نشان داد که برخلاف انتظار رابطه تأثیرگذاری میان شاخص‍های دلبستگی فردی به مکان، محل تولد، مدت سکونت و میزان تحصیلات بر رفتارهای حامی محیط زیستی شهروندان، وجود ندارد؛ اما از سوی دیگر نتایج مدل‌سازی نمایانگر این موضوع بود که در گام نخست رفتارهای حامی محیط زیستی شهروندان بیش‍ترین ارتباط و اثرپذیری را از دلبستگی اجتماعی شهروندان با مکان یا شهر دارند. سپس در گام بعدی تعدادی از ویژگی‌های فردی شهروندان ازجمله سن و وضعیت تأهل نیز بر رفتارهای حامی محیط زیستی شهروندان تأثیرگذار می‌باشد و رابطه مستقیمی میان آن‌ها برقرار است.

Shirley Ballaney, A. Mukherjee, Hong-Soo Lee et al.

This working paper presents five case studies of urban redevelopment strategies adopted in India, outlines the lessons learned, and provides larger recommendations for the region. Urban redevelopment can offer solutions for re-visioning cities to accommodate optimized densities, multi-modal transport, and affordable housing, while preserving cultural heritage and fostering climate resilience. The paper argues for robust land management frameworks, including land records and property valuation systems, regulatory planning frameworks for area-based redevelopment, capacity building of cities to access and absorb finance, citizen engagement, private sector involvement, and integrating safeguards as fundamental to building inclusive, sustainable, and livable cities.

Constantine Yapijakis, Gerardo del Cerro Santamaría