摘要：本次给大家整理的是《Computers, Environment and Urban Systems》杂志2025年3月第116期的论文的题目和摘要，一共包括5篇SCI论文！

本次给大家整理的是《Computers, Environment and Urban Systems》杂志2025年3月第116期的论文的题目和摘要，一共包括5篇SCI论文！

论文1

Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development

使用新型基于流动的度量量化中心性：对可持续城市发展的启示

【摘要】

The flow of essential elements such as people, goods, and information through complex networks has become a critical factor in shaping urban dynamics and regional development. Quantifying location centrality plays an indispensable role not only in urban infrastructure planning but also in National central city planning. Two vital aspects should be considered for central nodes in flow-based complex networks: their impact on adjacent nodes and the diversity of nodes they affect. In this paper, we present a centrality measure index (C-index) that accounts for flow volume and flow directions, offering a high degree of interpretability. We applied the C-index to four public weighted complex networks, demonstrating that our method outperforms classical methods. Furthermore, we validated the effectiveness and advantages of C-index on quantifying location centrality both in inter-city and intra-city population mobility network. The centrality findings from the perspective of population mobility can reinforce guidelines for understanding National central cities and polycentric structure of cities, thereby facilitating policy-making of sustainable urban development.

【摘要翻译】

人员、货物和信息等基本要素通过复杂网络的流动已成为塑造城市动态和区域发展的关键因素。量化位置中心性在城市基础设施规划和国家中心城市规划中不仅不可或缺，而且具有重要作用。在基于流动的复杂网络中，对于中心节点应考虑两个关键方面：它们对相邻节点的影响以及它们影响的节点多样性。本文提出了一种考虑流量和流向的中心性度量指标（C-指数），该指标具有高度的可解释性。我们将C-指数应用于四个公共加权复杂网络，结果表明我们的方法优于经典方法。此外，我们在城际和城内人口流动网络中验证了C-指数在量化位置中心性方面的有效性和优势。从人口流动的角度得出的中心性结果可以强化对国家中心城市和城市多中心结构的理解指南，从而促进可持续城市发展的政策制定。

论文2

Nighttime light imagery or mobile phone footprints: Which better reflects urban socio-economics at the grid level? A case study in the Pearl River Delta, China

夜间灯光影像与手机足迹：哪种更能反映城市网格层级的社会经济状况？——以珠江三角洲为例

【摘要】

Traditional socioeconomic censuses rely on manual statistical surveys at the administrative division level, incurring significant costs while also facing the issue of data fabrication. The lack of information at the fine-scale spatial level limits more accurate policy formulation at the local and global levels. Nighttime lights have been proven to reflect human activities and estimate socio-economic indicators. Meanwhile, with the widespread use of smart devices, mobile phone data recorded as sensor data also provide various information about human footprints. This research elucidates the revealing ability of mobile phone footprints (MOB) and nighttime lights (NTL) to estimate various socio-economic indicators at a fine grid scale, establishing them as valuable proxies for understanding complex urban patterns. A comparative analysis within the Pearl River Delta (PRD), China demonstrates MOB’s superior capacity in accurately reflecting socio-economic indicators such as population density and gross domestic product (GDP) distribution, effectively mitigating the oversaturation shortcomings of NTL in reflecting socioeconomic conditions. Especially in urban built-up areas, MOB and NTL data synergistically provide a refined depiction of socio-economic conditions, with MOB elucidating urban structure and density, and NTL closely associated with the service sector’s footprint. The insights of the study highlight the value of integrating MOB and NTL data to refine the accuracy of socioeconomic indicators, which could be instrumental in the creation of nuanced urban planning and policy interventions. Such data-driven approaches promise to more effectively address socioeconomic inequalities and support sustainable urban development initiatives.

【摘要翻译】

传统的社会经济普查依赖于行政区划层面的手工统计调查，不仅成本高昂，而且面临数据造假的问题。精细空间层面信息的缺乏限制了在地方和全球层面更准确的政策制定。夜间灯光已被证明可以反映人类活动并估计社会经济指标。与此同时，随着智能设备的广泛使用，作为传感器数据记录的手机数据也提供了关于人类足迹的各种信息。本研究阐明了手机足迹（MOB）和夜间灯光（NTL）在精细网格尺度上估计各种社会经济指标的揭示能力，确立了它们作为理解复杂城市模式的有价值的代理。以中国珠江三角洲（PRD）为例的比较分析表明，MOB在准确反映人口密度和国内生产总值（GDP）分布等社会经济指标方面具有优越的能力，有效缓解了NTL在反映社会经济状况时的过饱和缺点。尤其在城市建成区，MOB和NTL数据协同提供了对社会经济状况的精细描绘，MOB阐明了城市结构和密度，NTL则与服务业足迹密切相关。研究的见解强调了整合MOB和NTL数据以提高社会经济指标准确性的价值，这对于创建细致的城市规划和政策干预措施具有重要意义。这种数据驱动的方法有望更有效地解决社会经济不平等问题，并支持可持续的城市发展倡议。

论文3

Function and form of U.S. cities

美国城市的功能与形态

【摘要】

The relationship between urban form and function is a complex challenge that can be examined from multiple perspectives. In this study, we propose a method to characterize the urban function of U.S. metropolitan areas by analyzing trip patterns extracted from the 2017 National Household Travel Survey. To characterize urban form, we employ measures that capture road network topology. We cluster cities based on both form and function and subsequently compare these clusters. Our analysis of 52 U.S. metropolitan areas identifies 7 distinct clusters of cities that exhibit similar travel behavior, suggesting that diverse mobility patterns can be effectively grouped into a few universal classes. The observed disparity between the urban-function clustering and the urban-form clustering suggests that travel behavior in the U.S. is not strongly influenced by the physical infrastructure of the city.

【摘要翻译】

城市形态与功能之间的关系是一个复杂的挑战，可以从多个角度进行考察。在本研究中，我们提出了一种通过分析2017年全国家庭出行调查提取的出行模式来表征美国大都市区城市功能的方法。为了表征城市形态，我们采用了能够捕捉道路网络拓扑结构的指标。我们基于形态和功能对城市进行聚类，并随后比较这些聚类。对52个美国大都市区的分析识别出了7个具有相似出行行为的不同城市集群，这表明多样的出行模式可以有效地归纳为几个普遍的类别。城市功能聚类与城市形态聚类之间观察到的差异表明，美国的出行行为并未受到城市物理基础设施的强烈影响。

论文4

A citizen science toolkit to collect human perceptions of urban environments using open street view images

一套公民科学工具包，用于通过开放街景图像收集人们对城市环境的感知

【摘要】

Street View Imagery (SVI) is a valuable data source for studies (e.g., environmental assessments, green space identification or land cover classification). While commercial SVI is available, such providers commonly restrict copying or reuse in ways necessary for research. Open SVI datasets are readily available from less restrictive sources, such as Mapillary, but due to the heterogeneity of the images, these require substantial preprocessing, filtering, and careful quality checks. We present a method for automated downloading, processing, cropping, and filtering open SVI, to be used in a survey of human perceptions of the streets portrayed in these images. We demonstrate our open-source reusable SVI preparation and smartphone-friendly perception-survey software with Amsterdam (Netherlands) as the case study. Using a citizen science approach, we collected from 331 people 22,637 ratings about their perceptions for various criteria. We have published our software in a public repository for future re-use and reproducibility.

论文5

Spatial accessibility and transport inequity in Finland: Open source models and perspectives from planning practice

芬兰的空间可达性与交通不平等：开源模型与规划实践视角

【摘要】

During the last two decades, accessibility has begun to take a more central role in transport planning and decision making, as its importance has been recognized in many different policy agendas. Although environmental and social sustainability are central in contemporary public policy, the social exclusion effects related to access of opportunities are rarely measured at the national level. In this study, we analyze spatial accessibility to various opportunities in Finland at 1 km resolution and assess accessibility inequalities using the Palma ratio. Furthermore, we test how a web-based tool can be used in stakeholder communication and investigate the usefulness of the accessibility indicators and the tool for planning practice based on focus group discussions with Finnish transport planners. Our results show significant variation in the levels of access to different opportunities across Finnish municipalities. The Palma ratios reveal that the largest disparities are typically located in municipalities surrounding large city regions, where wealthier residents tend to have better access to opportunities compared to low-income populations. Finally, the insights from Finnish planning practitioners reveal that communicating national-level accessibility information via an online tool has high communicative and learning value for various planning and policy processes.

在过去的二十年中，可达性在交通规划和决策中开始扮演更加核心的角色，因为其重要性已在许多不同的政策议程中得到认可。尽管环境和社会可持续性在当代公共政策中占据中心地位，但与机会获取相关的社会排斥效应在国家层面上很少被测量。在本研究中，我们以1公里分辨率分析了芬兰对各种机会的空间可达性，并使用帕尔玛比率评估了可达性不平等。此外，我们测试了基于网络的工具如何在利益相关者沟通中使用，并通过与芬兰交通规划师的焦点小组讨论，探讨了可达性指标和该工具在规划实践中的实用性。我们的结果显示，芬兰各市镇对不同机会的获取水平存在显著差异。帕尔玛比率揭示，最大的不平等通常位于大城市区域周边的市镇，在这些地方，较富裕的居民相比低收入人群往往拥有更好的机会获取。最后，来自芬兰规划从业者的见解表明，通过在线工具传达国家层面的可达性信息对于各种规划和政策过程具有高度的沟通和学习价值。

来源：城市数据研习社