Journal of Urban Management最新文献_第9页

A structural equation model of the critical success factors for sustainable smart cities: A case study of Abu Dhabi 可持续智慧城市关键成功因素的结构方程模型：以阿布扎比为例

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-09-01 Epub Date: 2025-03-06 DOI: 10.1016/j.jum.2025.02.008

Rahaf Ajaj , Mohanad Kamil Buniya , Ibrahim Yahaya Wuni , Omar Sedeeq Yousif

Sustainable Smart Cities (SSCs) have garnered significant attention due to the accelerating rate of urbanization, and digitalization recently. The main objective of SSC initiatives is to seamlessly integrate digital technology into the city's fundamental systems, ultimately enhancing the citizens' quality of life. In light of this, a study was conducted to pinpoint the Critical Success Factors (CSFs) necessary for Abu Dhabi's transformation into SSC. These CSFs were identified via an investigation of the literature and further confirmed by practitioners via semi-structured interviews and questionnaires. Through these methods, the research demonstrated a robust correlation between SSC implementation and CSFs. With this in mind, the study identified 22 CSFs across four primary categories: people and communities, governance, technology, and management and organization. The study then prioritized these CSFs for Abu Dhabi, highlighting the importance of end-user involvement, accountability, good communication, and project team skills and experience in boosting the implementation of SSC initiatives. Ultimately, it is crucial to consider and prioritize CSFs when designing SSCs to ensure that they truly benefit citizens and the economy. This research provides a useful framework for cities around the world looking to create and implement SSC initiatives that will enhance their citizens' quality of life.

近年来，由于城市化和数字化的加速发展，可持续智慧城市（ssc）受到了广泛关注。SSC计划的主要目标是将数字技术无缝集成到城市的基础系统中，最终提高市民的生活质量。鉴于此，我们进行了一项研究，以确定阿布扎比向SSC转型所需的关键成功因素（CSFs）。这些csf是通过文献调查确定的，并通过半结构化访谈和问卷调查由从业人员进一步确认。通过这些方法，研究证明了SSC实施与CSFs之间的相关性。考虑到这一点，该研究确定了四个主要类别的22个csf：人员和社区、治理、技术、管理和组织。然后，该研究为阿布扎比优先考虑了这些csf，强调了最终用户参与、问责制、良好沟通以及项目团队技能和经验在促进SSC倡议实施方面的重要性。最终，在设计ssc时考虑和优先考虑csf，以确保它们真正造福公民和经济，这一点至关重要。这项研究为世界各地的城市提供了一个有用的框架，这些城市希望创建和实施SSC倡议，以提高其公民的生活质量。

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引用次数: 0

Good housing: International experiences and future visions 好住房：国际经验与未来展望

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2025-05-08 DOI: 10.1016/j.jum.2025.04.011

Yuzhe Wu

引用次数: 0

Comprehensive geospatial analysis of urban expansion dynamic in Lahore, Pakistan (1998–2023) 巴基斯坦拉合尔城市扩展动态的综合地理空间分析（1998-2023）

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2024-12-06 DOI: 10.1016/j.jum.2024.11.012

Sona Karim , Yaning Chen , Patient Mindje Kayumba , Ishfaq Ahmad , Hassan Iqbal

Lahore, a UNESCO city in Pakistan, is projected to rise from the sixth to the third fastest-growing city worldwide by 2030. This rapid urbanization challenges its commitment to cultural and ecological preservation, positioning it as an international case study in urbanization research. Thus, the Lahore Development Authority emphasizes the need for ongoing monitoring of urban dynamics to support effective planning and achieve sustainability targets, including Sustainable Development Goal 11. To contribute, we used high-resolution Landsat imagery to analyze the spatial diverging patterns of urban extent from 1998 to 2023 in Lahore. Additionally, we employed a Cellular Automata (CA) Markov Chain model to project urban growth over the next 25 years. As of 2023, we estimated that approximately 53.6% (92,660.9 ha) of Lahore is urbanized, while 46.4% remains unaffected by urban activities. Projections for 2048 suggest that the urban footprint may expand to 75.8% (131,031.5 ha), leaving only 24.2% of the area free from urbanization. Our analysis also revealed divergent urban expansion patterns significantly impacting local ecosystems. It showed a 31% reduction in inland water bodies, a 39.8% loss of vegetation, and a 60.1% decrease in sparse areas, all attributable to urban development. As natural landscapes are replaced by built environments, Lahore is likely facing increasing challenges that could jeopardize the city's green growth and urban ecological balance. Therefore, we urge land use managers, urban planners, and stakeholders in Pakistan to promote initiatives that enhance urban resilience, particularly through smart city planning and creating green and blue spaces. By focusing on Lahore, this study also provides valuable insights that can serve as a benchmark for other rapidly urbanizing cities facing similar challenges.

巴基斯坦的联合国教科文组织城市拉合尔预计到2030年将从全球增长最快的第六位上升到第三位。这种快速的城市化挑战了其对文化和生态保护的承诺，将其定位为城市化研究的国际案例研究。因此，拉合尔发展局强调需要持续监测城市动态，以支持有效规划和实现可持续发展目标，包括可持续发展目标11。利用高分辨率Landsat影像分析了1998 - 2023年拉合尔城市范围的空间分异格局。此外，我们采用元胞自动机（CA）马尔可夫链模型来预测未来25年的城市增长。截至2023年，我们估计拉合尔约53.6%（92660.9公顷）的土地已城市化，46.4%仍未受到城市活动的影响。对2048年的预测表明，城市足迹可能会扩大到75.8%（131,031.5公顷），只剩下24.2%的地区没有城市化。我们的分析还揭示了不同的城市扩张模式对当地生态系统的显著影响。内陆水体减少31%，植被减少39.8%，稀疏地区减少60.1%，均归因于城市发展。随着自然景观被建筑环境所取代，拉合尔可能面临越来越多的挑战，这些挑战可能危及城市的绿色增长和城市生态平衡。因此，我们敦促巴基斯坦的土地利用管理者、城市规划者和利益攸关方推动增强城市韧性的举措，特别是通过智慧城市规划和创造绿色和蓝色空间。通过关注拉合尔，本研究还提供了有价值的见解，可以作为其他面临类似挑战的快速城市化城市的基准。

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引用次数: 0

Assessing the efficacy of artificial intelligence based city-scale blue green infrastructure mapping using Google Earth Engine in the Bangkok metropolitan region 利用谷歌Earth Engine评估基于人工智能的曼谷大都市区蓝绿色基础设施测绘效果

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2024-12-04 DOI: 10.1016/j.jum.2024.11.009

Md. Mehedi Hasan , Malay Pramanik , Iftekharul Alam , Atul Kumar , Ram Avtar , Mohamed Zhran

Urbanization disrupts natural water, energy, and nutrient cycles, but integrating green and blue infrastructures (BGI) can mitigate these effects by facilitating processes like evapotranspiration, soil water infiltration, and root nutrient absorption. In Bangkok Metropolitan Region (BMR), escalating urbanization poses challenges to these natural cycles. Mapping Land Use and Land Cover (LULC) and identifying green infrastructure locations are crucial for effective urban planning, sustainable development, and environmental conservation amidst rapid urban growth. Continuous monitoring of dynamic urban areas is time-consuming, labor-intensive, and costly. Previous research primarily focused on land use and land cover classification followed by BGI identification. An automated classification system focusing solely on BGI can greatly enhance efficiency, accuracy, and cost-effectiveness in land classification for urban planning and decision-making. However, automating this system remains a significant challenge for the remote sensing community. Therefore, the research is first to develop a cloud based artificial intelligence tools such as Smile Random Forest and Smile CART integration with Google Earth Engine (GEE) to identify BGI for BMR. For this analysis, we have used open-sources and mostly used satellite images (e.g., Landsat and Sentinel) and consider to analyze seasonal changes for waterbodies, natural vegetations and human intervened vegetations with developing cloud-based artificial intelligence (AI). Surprisingly, Landsat-9 data demonstrated superior accuracy compared to Sentinel-2, indicating that the advanced technology of Landsat 9 may be more effective for BGI classification using AI. The study revealed a most distinct transition from deep green to green infrastructures during the transition from summer to monsoon season, whereas significant changes in blue infrastructure occurred between the monsoon and winter seasons. Seasonal variations in BGI are complex and influenced by factors such as the types of BGI implemented and the nuances of local climatic conditions. These advancements could provide precise insights for urban managers and policymakers, offering valuable tools to identify and understand BGI dynamics across various urban scales.

城市化破坏了自然的水、能量和养分循环，但整合绿色和蓝色基础设施（BGI）可以通过促进蒸散、土壤水分渗透和根系养分吸收等过程来缓解这些影响。在曼谷都市圈（BMR），不断升级的城市化对这些自然循环提出了挑战。在城市快速发展的背景下，绘制土地利用和土地覆盖（LULC）地图以及确定绿色基础设施位置对于有效的城市规划、可持续发展和环境保护至关重要。对充满活力的城市地区进行持续监测既耗时又费力，而且成本高昂。以往的研究主要集中在土地利用和土地覆盖分类，其次是华大基因识别。一个完全以华大基因为中心的自动分类系统可以大大提高城市规划和决策的土地分类的效率、准确性和成本效益。然而，该系统的自动化仍然是遥感界面临的重大挑战。因此，本研究首先开发基于云的人工智能工具，如Smile Random Forest和Smile CART与谷歌Earth Engine （GEE）的集成，以识别BMR的BGI。在这项分析中，我们使用了开源的卫星图像（例如Landsat和Sentinel），并考虑通过开发基于云的人工智能（AI）来分析水体、自然植被和人为干预植被的季节变化。令人惊讶的是，与Sentinel-2相比，Landsat-9的数据显示出更高的精度，这表明Landsat 9的先进技术可能更有效地利用人工智能进行华大基因分类。研究表明，在夏季到季风季节的过渡期间，基础设施从深绿色到绿色的转变最为明显，而在季风和冬季之间，基础设施的蓝色发生了显著变化。BGI的季节变化是复杂的，并受到诸如实施的BGI类型和当地气候条件的细微差别等因素的影响。这些进步可以为城市管理者和政策制定者提供精确的见解，为识别和理解不同城市规模的华大基因动态提供有价值的工具。

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引用次数: 0

Spatial structure and mechanism of cross-city patient mobility network in the Yangtze River economic belt of China 长江经济带跨城市患者流动网络空间结构与机制

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2024-12-11 DOI: 10.1016/j.jum.2024.11.013

Bowen Xiang , Mengyao Hong , Fang Guo , Wei Wei

Cross-city patient mobility reflects the geographic mismatch in medical resources, posing significant challenges for healthcare accessibility and equitable resource allocation. However, existing research methods inadequately capture the complex relationships between healthcare supply and demand as well as the proximity mechanisms influencing patient mobility. In this study, we used 500,120 patient online evaluations to build the 2023 Cross-city Patient Mobility Network (CPMN) for the Yangtze River Economic Belt (YREB), and analyzed its spatial structure and influencing factors using healthcare relative size index, dominant association analysis, and explainable machine learning modeling. The results show that: (1) There is a double logarithmic linear relationship between healthcare supply size and intensity (coefficient 0.627), and a weak negative correlation between demand size and intensity; (2) While the spatial organization of healthcare aligns with administrative boundaries and hierarchies, exceptions are observed in parts of Shanghai and Chongqing's healthcare catchment areas; (3) Social proximity, geographical proximity and institutional proximity are significant in patient mobility. This research contributes new data and methods to health geography and offers theoretical and empirical insights critical for optimizing healthcare resource allocation in the YREB, ultimately addressing the challenges of equitable healthcare access.

跨城市患者流动反映了医疗资源的地理不匹配，对医疗服务的可及性和资源的公平分配提出了重大挑战。然而，现有的研究方法未能充分捕捉到医疗保健供需之间的复杂关系以及影响患者流动性的邻近机制。本研究利用500,120名患者的在线评价，构建了长江经济带2023年跨城市患者流动网络（CPMN），并利用医疗卫生相对规模指数、优势关联分析和可解释机器学习模型分析了其空间结构和影响因素。结果表明：(1)卫生服务供给规模与卫生服务强度呈双对数线性关系（系数为0.627），卫生服务需求规模与卫生服务强度呈弱负相关；(2)医疗卫生服务的空间组织与行政区划的边界和层级基本一致，但在上海和重庆的部分医疗卫生服务集水区存在差异；(3)社会接近性、地理接近性和机构接近性对患者流动有显著影响。该研究为健康地理学提供了新的数据和方法，并为优化YREB的医疗资源分配提供了至关重要的理论和实证见解，最终解决了公平医疗获取的挑战。

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引用次数: 0

Understanding the dynamics of urban just transitions: An interdisciplinary analysis with latent dirichlet allocation (LDA) 理解城市公正转型的动态：基于潜在狄利克雷分配（LDA）的跨学科分析

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2024-12-11 DOI: 10.1016/j.jum.2024.12.001

Yuhang Sun , Ye Luo , Xuepeng Qian , Liang Dong

Despite the presence of literature on just transitions in cities, the knowledge gap exists in analyzing the evolving trends and trajectories of justice themes in urban transitions. This study develops a comprehensive analytical framework to identify the emerging research trends related to urban just transition by using LDA. Based on the socio-ecological-technological system (SETS) analytical framework and justice-related theoretical frameworks, this research examines the evolving characteristics and prominent issues in existing studies on just transition in urban contexts. We find that the E-T dimension within SETS is receiving increasing attention from researchers, while the inclusiveness and restorativeness dimensions within urban justice are more specifically analyzed. The study not only identifies the complex trends and dynamic changes in the process of urban just transition but also identifies key research areas for future investigations. It provides scholars and practitioners in the field of urban transformation with valuable insights and references, aiming to foster the development of more sustainable and just urban areas.

尽管存在关于城市正义转型的文献，但在分析城市转型中正义主题的演变趋势和轨迹方面存在知识缺口。本研究建立了一个综合的分析框架，利用LDA识别与城市公正转型相关的新兴研究趋势。基于社会-生态-技术系统（set）分析框架和正义相关理论框架，本研究考察了城市背景下正义转型研究的演变特征和突出问题。我们发现，set中的E-T维度越来越受到研究人员的关注，而城市正义中的包容性和恢复性维度则得到了更具体的分析。研究不仅明确了城市转型过程中的复杂趋势和动态变化，而且明确了未来研究的重点领域。它为城市转型领域的学者和实践者提供了宝贵的见解和参考，旨在促进更可持续、更公正的城市地区的发展。

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引用次数: 0

Generated nighttime street view image to inform perceived safety divergence between day and night in high density cities: A case study in Hong Kong 生成夜间街景图像，告知高密度城市的安全感知差异：以香港为例

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2024-11-28 DOI: 10.1016/j.jum.2024.11.006

Xiaotong Ye , Yuankai Wang , Jiajing Dai , Waishan Qiu

Safety perception is widely considered a fundamental aspect of urban life, which significantly influences citizens' well-being and quality of life as well as having crucial impact on the nighttime economy. However, there is a scarcity of understanding of nighttime safety despite the fast-growing body of urban scene auditing research based on daytime street view imagery (SVI). To fill the gap, this study collected ∼1000 pairwise day-and-night SVIs to train a day-to-night (D2N) SVI generator to effectively predict nighttime SVI based on daytime counterpart using generative adversarial network (GAN). The accuracy of fake nighttime image was evaluated with commonly-used GAN metrics (e.g., structural similarity index, inception score) and human validation. Then, an online visual survey with 46 participants was conducted to collect their perceived safety on street scenes during daytime and nighttime (D&N), and the results become training labels for machine learning models to predict D&N safety perceptions. Our results revealed significant discrepancies in D&N safety perception. First, through correlation analysis, we found that the sky and building features matter to the prediction accuracy of generated nighttime SVIs. Second, the micro-level streetscape features (e.g., pavements, roads, and buildings) play influential roles in perceived safety. Third, higher safety perceptions are consistently found in areas with higher building density regardless of whether they are daytime or night. In contrast, untended trees and grass reduce perceived safety at night. This study provides a valuable reference for improving the accuracy of generating nighttime images from daytime SVIs. It also reveals how streetscapes affect D&N safety perceptions in high-density cities like Hong Kong, providing empirical evidence for urban design policies to facilitate nighttime attractiveness and prosperity.

安全感知被广泛认为是城市生活的一个基本方面，它显著影响着市民的幸福感和生活质量，并对夜间经济产生至关重要的影响。然而，尽管基于日间街景图像（SVI）的城市场景审计研究迅速发展，但对夜间安全的了解却很少。为了填补这一空白，本研究收集了约1000个成对的昼夜SVI来训练一个日-夜（D2N） SVI生成器，使用生成对抗网络（GAN）有效地预测基于白天对应的夜间SVI。利用常用的GAN指标（如结构相似性指数、初始分数）和人工验证来评估假夜间图像的准确性。然后，对46名参与者进行了一项在线视觉调查，以收集他们在白天和夜间对街道场景的感知安全性（D&；N），结果成为机器学习模型的训练标签，以预测D&；N安全感知。我们的研究结果揭示了D&；N安全感知的显著差异。首先，通过相关分析，我们发现天空和建筑物特征对生成的夜间svi的预测精度有影响。其次，微观层面的街道景观特征（如人行道、道路和建筑物）在感知安全中发挥着重要作用。第三，无论是白天还是晚上，建筑密度高的地区都有较高的安全意识。相比之下，无人看管的树木和草地会降低夜间的安全感。该研究为提高白天svi生成夜间图像的精度提供了有价值的参考。它还揭示了街道景观如何影响香港等高密度城市的安全观念，为城市设计政策提供了经验证据，以促进夜间吸引力和繁荣。

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引用次数: 0

Mapping the endogenous drivers of mega-urbanisation in contemporary urban development 当代城市发展中特大城市化的内生驱动因素

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2025-01-11 DOI: 10.1016/j.jum.2025.01.001

Xinqin Liu , Runzhu Gu , Sujit Kumar Sikder , Zhiqiu Xie , Chika Takatori , Xiaoping Xie

The urbanisation process of recent decades has resulted in new urban structures that can be circumscribed by two standard concepts, namely the megacity and the metropolitan region. One common feature of these new structures is that cities/urban areas are becoming much larger in population as well as spatial size and continue to grow unabated – a trend of “mega-urbanisation”. The planning and administrative systems set up under the traditional urban-rural dichotomy no longer reflect the reality of settlement growth and therefore lead to a blurring of city boundaries and challenges in the management of urban areas. Here we make use of geospatial modeling and open-source data for a high-level spatial-linking approach across multiple scales and a long-term perspective in three distinct socio-economic settings, specifically Germany, Japan and China's Yangtze River Delta region and therefore visualize urban development trends over 45 years. Our mapping indicates that the emergence of megacities and metropolitan regions is primarily driven by endogenous industrial change, particularly between the secondary and tertiary sectors of the economy. Our findings shed new light on research in regional development and planning and demonstrate the need to go beyond the prevailing discussion that focuses on advanced producer services in the context of an ever-advancing globalisation process.

近几十年的城市化进程产生了新的城市结构，可以用两个标准概念来界定，即特大城市和大都市区。这些新结构的一个共同特征是，城市/城区在人口和空间规模上都变得越来越大，并且持续增长，这是一种“超大城市化”的趋势。在传统的城乡二分法下建立的规划和管理制度已不能反映聚落增长的现实，从而导致城市边界的模糊，给城市管理带来挑战。本文利用地理空间建模和开源数据，在三个不同的社会经济背景下（特别是德国、日本和中国的长三角地区）建立了跨多个尺度和长期视角的高水平空间联系方法，从而可视化了45年来的城市发展趋势。我们的地图显示，特大城市和大都市区的出现主要是由内生的产业变化驱动的，特别是在第二和第三经济部门之间。我们的研究结果为区域发展和规划的研究提供了新的思路，并证明了在不断推进的全球化进程背景下，有必要超越关注先进生产性服务的主流讨论。

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引用次数: 0

Associating COVID-19 prevalence and built environment design: An explainable machine learning approach 关联COVID-19患病率和建筑环境设计：一种可解释的机器学习方法

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2025-02-11 DOI: 10.1016/j.jum.2024.10.009

Qingyao Qiao , Chongyang Ren , Shuning Chen , Reka Tundokova , Ka Yan Lai , Chinmoy Sarkar , Yulun Zhou , Chris Webster , Eric Schuldenfrei

Stay-at-home orders were globally adopted as one of the most important nonpharmaceutical interventions (NPIs) during the recent global pandemic. In a high-rise high-density context of Hong Kong, inter-building airborne transmissions were reported, especially in public housing. The role of residential building design in infection dynamics is under-studied. To unravel how architectural and urban design was linked to airborne virus transmission during the pandemic, we fitted explainable machine learning (EML) models associating COVID-19 prevalence with architectural design controlling for other built environment (BE) factors including socio-demographics, road information, land use, and points of interest (POIs). 284 public housing that underwent restriction-testing declaration (RTD) during the peak period of the pandemic's fifth wave were our sample. An additional 35 RTD-issued private housing blocks were used for an initial comparison of infection prevalence across public and private housing. Our findings show a significant differential in prevalence over different design forms, with "8-" and "L-" shaped buildings appearing to be more susceptible, with a significantly greater percentage of infections than "X-" and "Y-" shaped structures. The percentage of vacant land, public residential within a 500-m buffer, and the proportion of children ages under 14 at small tertiary planning unit level (STPU) were the three most influential co-variates in our model. Among specific architectural design features, the number of floors, radial layouts, and building corners were the most significantly associated with COVID-19 prevalence, followed by building average flat (apartment) size and shape factor. The study indicates that public housing residents were more at risk during this wave of the pandemic, which needs further investigation. Using machine learning, we provide insights into how to manage the design of high density neighbourhoods for resilience against airborne disease vectors.

在最近的全球大流行期间，居家令被全球采纳为最重要的非药物干预措施之一。在香港的高层高密度环境中，有报告称建筑物间的空气传播，特别是在公共房屋中。住宅建筑设计在感染动力学中的作用尚未得到充分研究。为了揭示大流行期间建筑和城市设计如何与空气传播病毒联系起来，我们拟合了可解释的机器学习（EML）模型，将COVID-19的流行与建筑设计联系起来，控制其他建筑环境（BE）因素，包括社会人口统计学、道路信息、土地使用和兴趣点（poi）。以第五波疫情高峰期实施限制检测申报（RTD）的284套公共住房为样本。另外35个rtd发放的私人住房被用于初步比较公共和私人住房的感染流行情况。我们的研究结果显示，不同的设计形式在流行程度上存在显著差异，“8”形和“L”形的建筑似乎更容易受到感染，感染的比例明显高于“X”形和“Y”形的建筑。在我们的模型中，三个最具影响力的协变量是空地百分比、500米缓冲区内的公共住宅和小三级规划单位（STPU） 14岁以下儿童的比例。在具体的建筑设计特征中，楼层数量、径向布局和建筑角落与COVID-19患病率的关系最为显著，其次是建筑平均公寓（公寓）大小和形状因子。该研究表明，在这波大流行期间，公共住房居民面临的风险更大，这需要进一步调查。利用机器学习，我们提供了如何管理高密度社区设计以抵御空气传播疾病媒介的见解。

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引用次数: 0

Social conflicts and their resolution paths in the commercialized renewal of old urban communities in China under the perspective of public value 公共价值视角下中国城市旧社区商业化更新中的社会矛盾及其解决路径

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-06-01 Epub Date: 2024-11-29 DOI: 10.1016/j.jum.2024.11.007

Dexin Wang, Shijun Li

Constructing a sustainable community renewal model and effectively resolving social conflicts are key issues in urban governance and social stability in contemporary China. This study focuses on the social conflicts arising from the commercialization-driven renewal of the Workers' Village community in Chengdu. Using a combination of case study methods, structured interviews, and participant observation, we explore the public value conflicts and their resolution pathways in the process of community renewal. The study reveals that the formation of public values is a dynamic process characterized by the interplay of multiple value systems, with various public value conflicts emerging in the commercialization of communities. To resolve these social conflicts, it is essential to fully consider the diverse interests of different groups and contexts, as well as the varying public values at stake. By promoting democratization and institutionalization, the different public values that arise from these conflicts can be transformed into a widely recognized value consensus. Grounded in public value theory, this study proposes a social conflict resolution model that transcends traditional approaches. It not only examines the key stakeholders involved in social conflicts during community renewal and the manifestations of value conflicts among them, but also emphasizes the importance of integrating and transforming divergent public values through active dialogue and negotiation. This process, involving multiple stakeholders, follows a trajectory from the aggregation of public values to negotiation and ultimately to value reshaping. The proposed model provides a new governance framework and methodological support for addressing social conflicts in community renewal, offering innovative insights into the integration and reconciliation of public values.

构建可持续的社区更新模式，有效化解社会矛盾，是当代中国城市治理与社会稳定的关键问题。本研究聚焦于成都工村社区在商业化驱动下的更新所引发的社会矛盾。本文采用案例研究、结构化访谈和参与式观察相结合的方法，探讨了社区更新过程中的公共价值冲突及其解决途径。研究表明，公共价值的形成是一个多种价值体系相互作用的动态过程，社区商业化过程中出现了各种公共价值冲突。要解决这些社会矛盾，必须充分考虑不同群体和背景的不同利益，以及所涉及的不同公共价值观。通过推动民主化和制度化，可以将这些冲突中产生的不同公共价值转化为广泛认可的价值共识。本研究以公共价值理论为基础，提出一种超越传统方法的社会冲突解决模型。它不仅考察了社区更新过程中涉及社会冲突的关键利益相关者及其之间价值冲突的表现，而且强调了通过积极对话和谈判整合和转化不同公共价值观的重要性。这一过程涉及多个利益相关者，遵循从公共价值聚集到谈判，最终到价值重塑的轨迹。该模型为解决社区更新中的社会冲突提供了新的治理框架和方法支持，为公共价值观的整合与和解提供了创新的见解。

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引用次数: 0