Journal of Urban Management最新文献

英文中文

Prioritizing values in smart mobility governance: A stakeholder-based analysis. 智能移动治理中的价值优先级：基于涉众的分析。

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-04-11 DOI: 10.1016/j.jum.2025.03.003

Mirte Brouwers, Dorottya Varga, Ruben D’Hauwers

This research examines how stakeholders prioritize public values within the decision-making process in smart mobility governance. Our insights are based on the OptiRoutS project, which aims to promote sustainable travel behaviors through prosocial routes in car navigation in Belgium. We specifically focus on identifying and embedding societal values into multi-stakeholder decision-making processes applying mixed methods. After identifying the main stakeholders in the Belgian mobility ecosystem, we conducted 18 semi-structured interviews with stakeholders pertaining to all quadrants of the Quadruple Helix (i.e., government, academia, civil society, industry) to identify the most important drivers and values in mobility governance. During the subsequent co-creation session, we employed the Analytic Hierarchy Process (AHP) method, to facilitate collaborative consensus-building and value prioritization. Our results highlight the complexity of decision-making in the mobility context, and the trade-off between the importance of values on the short-, and long-term. This stakeholder-based analysis offers new insights into how public values can be integrated into smart mobility governance frameworks. It provides guidance for policymakers aiming to balance technological advancement with societal goals. The study contributes to the broader discourse on value-based governance, emphasizing the role of multi-stakeholder collaboration in fostering just and sustainable mobility ecosystems.

本研究探讨了利益相关者如何在智能移动治理的决策过程中优先考虑公共价值。我们的见解基于OptiRoutS项目，该项目旨在通过比利时汽车导航中的亲社会路线促进可持续的出行行为。我们特别专注于识别和嵌入社会价值的多利益相关者的决策过程应用混合方法。在确定了比利时交通生态系统的主要利益相关者之后，我们对四螺旋的所有象限（即政府、学术界、民间社会、行业）的利益相关者进行了18次半结构化访谈，以确定交通治理中最重要的驱动因素和价值。在随后的共同创造会议中，我们采用了层次分析法（AHP）方法，以促进协作共识的建立和价值优先级的确定。我们的研究结果突出了流动性背景下决策的复杂性，以及短期和长期价值重要性之间的权衡。这种基于利益相关者的分析为如何将公共价值整合到智能移动治理框架中提供了新的见解。它为旨在平衡技术进步与社会目标的政策制定者提供了指导。该研究为基于价值的治理的更广泛论述做出了贡献，强调了多方利益相关者合作在促进公正和可持续的移动生态系统中的作用。

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引用次数: 0

Analysis and evaluation of urban roaming paths based on users' perspective--the case of Beijing 基于用户视角的城市漫游路径分析与评价——以北京为例

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-22 DOI: 10.1016/j.jum.2025.03.002

Yujie Chen

With the booming development of tourism and the public's pursuit of personalized and in-depth experiences, urban wanderlust has been widely welcomed as an emerging form of tourism. Urban roaming paths are crucial for shaping city image and enhancing tourists' experiences. This study constructs an evaluation system for the design elements of urban roaming paths from the user's perspective and identifies the key elements by applying the IPA-Kano model for analysis. The results of the study show that the seat setup, degree of shading, and Internet-famous site setting are the most prioritized elements to be considered in the design. In addition, guided signage system, restroom, bicycle parking, the type of commercial business, and selectivity of the route are also important design elements. The conclusions of this study not only provide empirical data and a scientific basis for city managers and designers but also provide a lesson and reference for the optimization and updating of urban roaming paths, which can help to enhance the attractiveness and competitiveness of urban tourism.

随着旅游业的蓬勃发展和大众对个性化、深度体验的追求，城市旅游作为一种新兴的旅游形式受到了广泛的欢迎。城市漫游路径对于塑造城市形象、提升游客体验至关重要。本研究从用户角度构建了城市漫游路径设计要素评价体系，并运用IPA-Kano模型对关键要素进行识别分析。研究结果表明，座位设置、遮阳程度和互联网知名网站设置是设计中最需要考虑的因素。此外，导视标志系统、卫生间、自行车停放、商业经营类型、路线选择性等也是重要的设计元素。研究结论不仅为城市管理者和设计者提供了经验数据和科学依据，也为城市漫游路径的优化和更新提供了借鉴和借鉴，有助于提升城市旅游的吸引力和竞争力。

引用次数: 0

A capability maturity model for smart city process-aware digital transformation 面向智慧城市过程感知数字化转型的能力成熟度模型

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-19 DOI: 10.1016/j.jum.2025.03.001

Shohreh Ajoudanian , Hamid Reza Aboutalebi

Smart cities are constructed and developed by governmental bodies and urban leaders capable of digital transformation. This modification aims to mitigate urban challenges while fostering robust urban growth using advanced technologies. However, many existing maturity models fail to adequately address the specific requirements and gaps in digital transformation capabilities necessary for effective urban management. The implementation of information and innovative communication strategies in urban areas has led to the development of new organizational procedures and business models. City managers recognize that digital transformation can drive urban growth. Therefore, they can enhance their processes by following a clear strategy outlined in a digital transformation capability maturity model. Despite the growing emphasis on digital transformation in urban management, existing maturity models do not adequately capture the specific processes and requirements necessary for effective implementation, resulting in challenges for city managers in assessing their capabilities. For this purpose, this study evaluates smart city maturity models and identifies gaps in the requirements for digital transformation capability. As a result, an innovative model for assessing the maturity of digital transformation capability in smart cities is proposed. The presented maturity model is particularly helpful for businesses and private companies seeking to embrace digital transformation for urban growth. It facilitates their systematic advancement toward higher maturity levels by enabling them to assess current capabilities. The majority of assessors are either very satisfied or satisfied with the criteria, according to the SC-DT-CMM evaluation results.

智慧城市是由具备数字化转型能力的政府机构和城市领导者建设和发展的。这一修改旨在缓解城市挑战，同时利用先进技术促进强劲的城市增长。然而，许多现有的成熟度模型未能充分解决有效城市管理所需的数字化转型能力的具体要求和差距。在城市地区实施信息和创新沟通战略导致了新的组织程序和商业模式的发展。城市管理者认识到数字化转型可以推动城市发展。因此，他们可以通过遵循数字转换能力成熟度模型中概述的清晰策略来增强他们的流程。尽管越来越重视城市管理的数字化转型，但现有的成熟度模型并不能充分捕捉有效实施所需的具体流程和要求，这给城市管理者评估其能力带来了挑战。为此，本研究评估了智慧城市成熟度模型，并确定了数字化转型能力需求方面的差距。因此，本文提出了一种评估智慧城市数字化转型能力成熟度的创新模型。所提出的成熟度模型对寻求通过数字化转型促进城市增长的企业和私营公司特别有帮助。它使他们能够评估当前的能力，从而促进他们系统地向更高的成熟度水平发展。根据SC-DT-CMM的评估结果，大多数评估者要么非常满意，要么对标准感到满意。

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引用次数: 0

Synergizing urban and mobility governance: Insights from Dubai and Lahore 协同城市和交通治理：来自迪拜和拉合尔的见解

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-07 DOI: 10.1016/j.jum.2025.02.009

Abdul Ghaffar Chaudhry , Houshmand Masoumi , Hans-Liudger Dienel

Urban centers in the Middle East and North Africa (MENA) and South Asian (SA) regions face challenges like urban sprawl, low-density development, and heavy investment in road infrastructure, worsened by fragmented governance and political instability. This study adopts a qualitative approach, utilizing semi-structured interviews with decision-makers in Dubai and Lahore, to identify and analyze key factors influencing urban management and mobility governance. Grounded theory is applied to compare the distinct governance challenges, policy priorities, and strategic planning approaches of the two cities. Key findings show that that Dubai immensely benefits from effective decision-making, a clear strategic vision, long-term transport planning, and structured program implementation. In contrast, Lahore grapples with overlapping roles among multiple planning agencies, delays in Master Plan approvals, and weak implementation frameworks, all of which contribute to uncontrolled horizontal expansion and a road-centric development model. This paper advances the urban governance literature by proposing a conceptual governance framework and a maturity model offering actionable insights for developing cities striving for more sustainable and equitable urban mobility.

中东和北非（MENA）和南亚（SA）地区的城市中心面临着城市扩张、低密度发展和道路基础设施大量投资等挑战，而治理碎片化和政治不稳定又加剧了这些挑战。本研究采用定性方法，利用对迪拜和拉合尔决策者的半结构化访谈，确定和分析影响城市管理和交通治理的关键因素。运用扎根理论比较两个城市不同的治理挑战、政策重点和战略规划方法。主要研究结果表明，迪拜从有效的决策、清晰的战略愿景、长期的交通规划和结构化的项目实施中受益匪浅。相比之下，拉合尔面临着多个规划机构角色重叠、总体规划审批延迟以及实施框架薄弱等问题，所有这些都导致了不受控制的横向扩张和以道路为中心的发展模式。本文通过提出概念性治理框架和成熟度模型来推进城市治理文献，为发展中城市争取更可持续和公平的城市流动性提供了可操作的见解。

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引用次数: 0

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-06 DOI: 10.1016/j.jum.2025.02.007

Chen Yang

引用次数: 0

Effective per capita municipal expenditures correlated with population changes in small and medium-sized cities in Japan 日本中小城市的有效人均市政支出与人口变化相关

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-06 DOI: 10.1016/j.jum.2025.02.006

Haruka Kato

In recent years, urban policy-makers have been urged to adopt the development of urban policies for shrinking cities from an urban management perspective. However, urban management in shrinking cities is a difficult problem because it is fiscally restrictive compared with cities with growing populations. This study aims to clarify the types of effective per capita municipal expenditures correlated with population changes in small and medium-sized cities. The research design adopted cross-sectional studies from 2007 to 2022 for all Japanese small and medium-sized cities with populations of less than 200,000. The nonlinear relationship was analyzed via the eXtreme gradient boosting algorithm. As a result, this study revealed 1288 shrinking cities, accounting for 82.56% of all small and medium-sized cities in Japan. For the shrinking cities, this study identified the types of per capita municipal expenditures that correlate with population change: population change was correlated with welfare expenditures. Specifically, the population grew in cities that increased in per capita expenditures on children and decreased in those on welfare recipients and the older population. Our findings suggest that municipal policy-makers should prioritize per capita expenditures on child welfare to sustain the population in small and medium-sized cities.

近年来，人们敦促城市决策者从城市管理的角度出发，采取针对萎缩城市的城市发展政策。然而，萎缩城市的城市管理是一个难题，因为与人口增长的城市相比，它在财政上受到限制。本研究旨在厘清与中小城市人口变动相关的有效人均市政支出类型。研究设计采用横断面研究，从2007年到2022年，对日本所有人口在20万以下的中小城市进行研究。利用极值梯度增强算法分析了非线性关系。因此，本次研究发现了1288个萎缩城市，占日本所有中小城市的82.56%。对于萎缩的城市，本研究确定了与人口变化相关的人均市政支出类型：人口变化与福利支出相关。具体来说，人均儿童支出增加的城市人口增长，而人均福利领取者和老年人口支出减少的城市人口增长。我们的研究结果表明，城市决策者应优先考虑人均儿童福利支出，以维持中小城市的人口。

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引用次数: 0

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 : 2025-03-06 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

Assessment for promoting on campus disaster management: Experience of new Taipei city 促进校园灾害管理之评估：新北市之经验

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-05 DOI: 10.1016/j.jum.2025.02.005

Kuo-Chen Ma , Mo-Hsiung Chuang , Yung-Fang Chen

Natural disasters become frequently in New Taipei City due to climate change and its geographical location and consequently result in heavy losses to the city's properties in recent years. Disaster management education funds were provided by the government to improve resilience to disasters.

This study has developed an evaluation and interaction model to promote campus disaster management based on the method of semi-structured interview with an evaluation table for self-evaluation and expert evaluation systems. The evaluation table have 5 major assessment items with a total score of 100%. The assessment items with different scores given in the parenthesis are organizational planning and campaigning (20%), education and activities for disaster prevention (28%), utilization of disaster prevention tools and equipment (20%), prevention drills (25%), and innovation and performance (7%). Each item has 5 performance indicators with scores dependent on their relative importance.

Eighteen schools identified as high disaster risk schools were selected to conduct the self-evaluation and expert evaluation in New Taipei City. Both evaluation results were displayed in radar charts for visual comparison and analyzed using SWOT analysis. The analyzed results provide useful information for understanding the strong and weak points in the present work of school disaster management in New Taipei City and for improving the management work in the future.

近年来，新北市受气候变迁及地理位置等因素影响，自然灾害频发，造成重大财产损失。政府提供灾害管理教育资金，以提高抗灾能力。本研究基于半结构化访谈法、自评表法和专家评价系统，构建了促进校园灾害管理的评价与互动模型。评价表有5个主要评估项目，总分为100%。括号中分数不同的评估项目分别是：组织策划和宣传（20%）、防灾教育和活动（28%）、防灾工具和设备的使用（20%）、防灾演练（25%）、创新和绩效（7%）。每个项目有5个性能指标，得分取决于它们的相对重要性。选取18所高灾害风险学校，在新北市进行自评与专家评鉴。两种评价结果以雷达图的形式进行直观对比，并采用SWOT分析法进行分析。分析结果对了解新北市目前学校灾害管理工作的优缺点，以及未来改善学校灾害管理工作提供有用的资讯。

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引用次数: 0

Leveraging machine learning to predict traffic jams: Case study of Casablanca, Morocco 利用机器学习预测交通堵塞：以摩洛哥卡萨布兰卡为例

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-04 DOI: 10.1016/j.jum.2025.02.004

Laaziza Hammoumi, Saad Farah, Mohamed Benayad, Mehdi Maanan, Hassan Rhinane

Traffic congestion in urban centers not only hampers mobility but also significantly impacts economic activities and environmental sustainability. This study leverages advanced machine learning techniques to analyze and predict traffic jams, utilizing a detailed dataset of 9847 recorded accident pixels from Waze, a popular navigation platform that aggregates real-time and historical traffic data from millions of users. The study is centered on Casablanca, Morocco and serves as a critical case study for urban traffic management. Advanced algorithms including Random Forest (RF), K-Nearest Neighbors (KNN), XGBoost, and Artificial Neural Network (ANN) were evaluated for their effectiveness in congestion prediction. The Random Forest model demonstrated exceptional performance with an accuracy of 96% and an AUC of 0.997, effectively distinguishing between congested and non-congested states. In contrast, the ANN displayed a lower performance with an accuracy of 64% and an AUC of 0.5, indicating challenges in handling complex traffic patterns. These findings underscore the potential of tailored machine learning solutions to enhance urban traffic management and planning, offering a foundation for deploying intelligent traffic systems that could significantly alleviate congestion in major urban areas.

城市中心的交通拥堵不仅阻碍了人们的出行，而且严重影响了经济活动和环境的可持续性。这项研究利用先进的机器学习技术来分析和预测交通拥堵，利用来自Waze的9847个记录事故像素的详细数据集，Waze是一个流行的导航平台，汇集了数百万用户的实时和历史交通数据。该研究以摩洛哥卡萨布兰卡为中心，是城市交通管理的重要案例研究。对随机森林（RF）、k近邻（KNN）、XGBoost和人工神经网络（ANN）等先进算法在拥塞预测中的有效性进行了评估。随机森林模型表现出优异的性能，准确率为96%，AUC为0.997，有效区分了拥塞和非拥塞状态。相比之下，人工神经网络显示出较低的性能，准确率为64%，AUC为0.5，这表明在处理复杂的交通模式方面存在挑战。这些发现强调了量身定制的机器学习解决方案在加强城市交通管理和规划方面的潜力，为部署智能交通系统提供了基础，可以显著缓解主要城市地区的拥堵。

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引用次数: 0

How to harness the complexity of urban environments? 如何驾驭城市环境的复杂性？

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-03-01 DOI: 10.1016/j.jum.2025.02.002

Shih-Kung Lai

引用次数: 0

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