Journal of Urban Management最新文献

英文中文

Analysis of urban functional areas based on graph clustering neural networks 基于图聚类神经网络的城市功能区分析

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-27 DOI: 10.1016/j.jum.2025.01.003

Huimin Bai, Xia Zhu, Yuanping Liu, Tiange Zhang, Cui Jia, Jie Cao, Hao Zhang, Xinran Liu

Urban functional areas, as an important fundamental component of urban planning, hold significant importance for optimizing urban layouts, resource allocation, and the rational organization of socio-economic activities. Urban functional area division using traditional methods often has limitations, such as relying on a single data source and using division methods that are mostly based on road network units. To address these issues, this paper considers the impacts of Open Street Map road network data, Point of Interest data, nighttime light data, and land use data on functional area identification and proposes a method based on Graph Clustering Neural Networks to analyze and study urban functional areas. To begin with, the basic datasets are utilized to extract the spatial structure and attribute features of urban functional areas. Then, a transportation network model is constructed by combining the basic characteristics of the road network with socio-economic characteristics. Through the use of Graph Clustering Neural Networks and clustering algorithms, urban functional areas can be identified through clustering through the integration of Graph Neural Networks and clustering algorithms. For functional area analysis, Point of Interest data and land use data are then utilized. Finally, the accuracy of the clustering results is verified by comparison with real images. Beijing was chosen as the study area for this research. The Graph Clustering Neural Network model's urban functional area analysis is highly accurate, allowing for precise identification of the city's spatial distribution characteristics, as demonstrated by the results. The analysis of functional areas offers a better understanding of urban characteristics and distribution patterns, providing more scientific and precise references for urban planning. Additionally, it offers strong support for real-world urban management and decision-making, such as traffic planning, land use optimization, and public resource allocation.

城市功能区作为城市规划的重要基础组成部分，对优化城市布局、优化资源配置、合理组织社会经济活动具有重要意义。传统的城市功能区划分方法往往存在依赖单一数据源、多基于路网单元的划分方法等局限性。针对这些问题，本文考虑了开放街道地图路网数据、兴趣点数据、夜间灯光数据和土地利用数据对功能区识别的影响，提出了一种基于图聚类神经网络的城市功能区分析研究方法。首先，利用基础数据集提取城市功能区的空间结构和属性特征。然后将路网的基本特征与社会经济特征相结合，构建交通网络模型。通过使用图聚类神经网络和聚类算法，通过图神经网络和聚类算法的融合，可以通过聚类来识别城市功能区。对于功能区分析，然后使用兴趣点数据和土地利用数据。最后，通过与真实图像的对比，验证了聚类结果的准确性。本研究选择北京作为研究区域。结果表明，图聚类神经网络模型的城市功能区分析非常准确，可以精确识别城市的空间分布特征。功能区分析有助于更好地了解城市特征和分布格局，为城市规划提供更科学、更精确的参考。此外，它还为现实世界的城市管理和决策提供强有力的支持，如交通规划、土地利用优化和公共资源配置。

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引用次数: 0

Mapping cultural heritage sites at risk: A support tool for heritage sites management 绘制濒危文化遗产地：遗产地管理的辅助工具

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-24 DOI: 10.1016/j.jum.2025.01.007

Maria Giovanna Brandano , Chiara Conti , Marco Modica , Giulia Urso

Under the threat of climate change, the world has become increasingly unsafe, with extreme weather events causing devastation and high economic costs. These impacts are heterogeneous because of the interaction between different regional climate changes and the varying socio-economic characteristics of affected places. Climate change also impacts the management of cultural heritage sites. We then propose a method to identify heritage sites at risk from climate change issues, considering the single components of risk, namely both the natural hazard and the resilient/vulnerable local characteristics that may increase or mitigate the potential damage. The link between the natural and human spheres is, in fact, crucial for the development of suitable mitigation and prevention strategies, particularly relevant for developing countries that suffer from scarce economic resources. Overall, this work aims to provide a method to detect heritage sites at risk and a decision support tool for strategically managing cultural sites. We focus on Italy since it is one of the countries with a higher endowment of cultural heritage. However, thanks to its high replicability, this tool might be exported and adopted in different contexts and scenarios.

在气候变化的威胁下，世界变得越来越不安全，极端天气事件造成破坏和高昂的经济成本。由于不同区域气候变化和受影响地区不同社会经济特征之间的相互作用，这些影响具有异质性。气候变化也影响着文化遗产地的管理。然后，我们提出了一种方法来识别受气候变化问题威胁的遗产地，考虑风险的单一组成部分，即自然灾害和可能增加或减轻潜在损害的弹性/脆弱的当地特征。事实上，自然领域和人类领域之间的联系对于制定适当的缓解和预防战略至关重要，这对经济资源匮乏的发展中国家尤其重要。总的来说，这项工作旨在提供一种方法来检测处于危险中的文化遗址，并为文化遗址的战略管理提供决策支持工具。我们关注意大利，因为它是文化遗产禀赋较高的国家之一。然而，由于其高可复制性，该工具可以导出并在不同的上下文中和场景中采用。

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引用次数: 0

Exploring the causal relationship between campus walkability and affective walking experience: Evidence from 7 major tertiary education campuses in China 校园步行性与情感步行体验的因果关系探讨：来自中国7个主要高等教育校园的证据

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-24 DOI: 10.1016/j.jum.2025.01.005

Bojing Liao , Jie Zhu

This study investigates the causal relationship between campus perceived walkability and the affective walking experiences of students, with a focus on their mental well-being. To address this question, we incorporated both subjective (perceived) and objective (physical) walkability data. Using data from 697 participants across seven Chinese tertiary education campuses, the study employs a counterfactual analysis to estimate the impact of campus perceived walkability on students’ walking experiences. The analysis reveals that students living in campuses with improved walkability are 9.75% more likely to have positive walking experiences compared to those without walkability renovations. While walking attitude is strongly correlated with walking experiences, the study emphasizes the significance of objective factors such as campus surroundings and the availability of walking spaces in influencing the walking experience. Geographical features, including campus perceived walkability improvements, have the most substantial impact, and this effect varies across different subsets of respondents. These findings underscore the importance of considering specific subsets and campus features when assessing the impact of walkability improvements on the walking experience. In conclusion, the study provides compelling evidence of a causal link between improved campus perceived walkability and enhanced affective walking experiences among students, suggesting the need for further research on mediating factors and cultural variations affecting student mental health on various Chinese campuses.

本研究以大学生的心理健康状况为研究对象，探讨了校园步行体验与大学生情感步行体验之间的因果关系。为了解决这个问题，我们结合了主观（感知）和客观（物理）步行性数据。该研究使用了来自中国七个高等教育校园的697名参与者的数据，采用反事实分析来估计校园可步行性对学生步行体验的影响。分析显示，与没有进行步行性改造的校园相比，生活在步行性改善校园的学生拥有积极步行体验的可能性高出9.75%。虽然步行态度与步行体验密切相关，但研究强调了校园环境和步行空间可用性等客观因素对步行体验的影响。地理特征，包括校园可步行性的改善，具有最实质性的影响，这种影响在不同的受访者群体中有所不同。这些发现强调了在评估步行性改善对步行体验的影响时考虑特定子集和校园特征的重要性。综上所述，本研究提供了令人信服的证据，证明改善校园可步行性与增强学生情感步行体验之间存在因果关系，表明需要进一步研究影响中国不同校园学生心理健康的中介因素和文化差异。

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引用次数: 0

The joint impact of road density and width on road network performances —a simulation approach based on macroscopic fundamental diagram 道路密度和宽度对路网性能的共同影响——基于宏观基本图的模拟方法

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-20 DOI: 10.1016/j.jum.2025.01.002

Yingying Ma, Wenyi Xie, Xiaoran Qin, Zebang Liang, Ziyan Guan

The urban transportation system is vital for efficient daily travel. Understanding how urban road network density and width influence traffic performance is crucial for informed decision-making in urban planning. In this study, we designed three homogeneous square road networks with varying densities and conducted simulation experiments. By controlling for heterogeneity in road network structure and variables such as network size, road area ratio, and traffic input, we ensured effective comparison of simulation results. Using the macroscopic fundamental diagram (MFD) model, we analyzed metrics including MFD scatter dispersion, changes in experimental results with different vehicle arrival patterns, distortion of the MFD image with varying traffic volume, MFD slope variations, and maximum outflow rates. This analysis enables comparison of road network performance under different vehicle arrival rates and traffic input variations, exploring the impact of the "narrow and dense network" strategy on reliability, stability, and efficiency. In addition, the results of our proposed scatter fitting method are similar to previous clustering-then-fitting methods and compensate for the challenges in critical point estimation. Results indicate that, while maintaining a constant road area ratio, higher density improves network reliability but may initially decrease stability, while efficiency varies with traffic conditions and examination angles. These findings elucidate the interplay between road network density, width, traffic state, and macroscopic performance, providing a basis for rational urban road network construction.

城市交通系统对日常高效出行至关重要。了解城市路网密度和宽度对交通性能的影响对城市规划中的明智决策至关重要。在本研究中，我们设计了三个不同密度的均匀方形道路网，并进行了模拟实验。通过控制路网结构的异质性以及路网规模、道路面积比、交通投入等变量，保证仿真结果的有效比较。利用宏观基本图（MFD）模型，分析了MFD散射散度、不同车辆到达模式下实验结果的变化、不同交通量下MFD图像的畸变、MFD斜率变化和最大流出率等指标。该分析比较了不同车辆到达率和交通输入变化下的路网性能，探讨了“窄网密网”策略对可靠性、稳定性和效率的影响。此外，我们提出的散点拟合方法的结果与之前的聚类再拟合方法相似，并弥补了临界点估计的挑战。结果表明，在保持一定道路面积比的情况下，较高的交通密度提高了网络的可靠性，但可能会初步降低网络的稳定性，而效率则会随着交通条件和检查角度的不同而变化。研究结果阐明了路网密度、路网宽度、交通状态与宏观性能之间的相互作用，为城市路网的合理建设提供了依据。

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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 : 2025-01-11 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

Analyzing the interplay of urbanization, economic development, and seaborne trade: Revealing their connection to urban resilience in Saudi Arabia 分析城市化、经济发展和海运贸易的相互作用：揭示它们与沙特阿拉伯城市弹性的联系

IF 3.9 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-07 DOI: 10.1016/j.jum.2024.12.004

AHM Mehbub Anwar , Nourah Alhosain , Yagyavalk Bhatt

Urbanization is widely acknowledged as a significant driver of a nation's economic growth and participation in global trade. However, there is considerable debate regarding the sequence of events: whether urbanization fosters economic development and, subsequently, trade, economic growth, and trade precede urbanization, or whether there is a reciprocal relationship between them. Each perspective has its theoretical underpinnings, necessitating empirical evidence to discern the causal direction, which holds significant policy implications. This research explores the relationship between urbanization, economic development, and trade over the short and long term. Through a comprehensive examination utilizing cointegration and Granger causality tests conducted on data from Saudi Arabia from 1991 to 2022, the study first establishes the integration order of the variables. Subsequently, it employs the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques to unravel short-term and long-term causal dynamics. The findings unveil a relationship between urbanization and economic development, with evidence pointing to bidirectional causality between these variables across both short and long terms. Regarding the relationship between trade and economic development, while short-term causality flows in both directions, the long-term analysis suggests a unidirectional relationship between trade and economic development. This implies an indirect linkage between trade and urbanization through GDP, as no direct causality between trade and urbanization is evident. Finally, this paper uncovers this interactive connection to urban resilience.

城市化被广泛认为是一个国家经济增长和参与全球贸易的重要驱动力。然而，关于事件的顺序存在相当大的争论：城市化是否促进经济发展，随后是贸易，经济增长和贸易先于城市化，或者它们之间是否存在互惠关系。每种观点都有其理论基础，需要经验证据来辨别因果方向，这具有重要的政策意义。本研究从短期和长期角度探讨了城市化、经济发展和贸易之间的关系。通过对沙特阿拉伯1991年至2022年的数据进行协整和格兰杰因果检验的综合检验，首先建立了变量的整合顺序。随后，它采用自回归分布滞后（ARDL）和误差校正模型（ECM）技术来揭示短期和长期因果动态。研究结果揭示了城市化与经济发展之间的关系，并有证据表明这些变量之间在短期和长期都存在双向因果关系。关于贸易与经济发展的关系，短期的因果关系是双向的，而长期的分析表明贸易与经济发展的关系是单向的。这意味着贸易和城市化之间通过GDP存在间接联系，因为贸易和城市化之间没有明显的直接因果关系。最后，本文揭示了这种与城市弹性的互动关系。

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IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-01

引用次数: 0

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-01

引用次数: 0

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-01

引用次数: 0

IF 5 2区社会学 Q1 URBAN STUDIES

Journal of Urban Management

Pub Date : 2025-01-01

引用次数: 0

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