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Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images 应用说明:基于珞珈 1-01 夜间光照图像的中国大陆县级基尼系数评估
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-09 DOI: 10.1007/s43762-023-00114-w
Banshao Hu, Weixin Zhai, Dong Li, Junqing Tang
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引用次数: 0
Human Dynamics Research in GIScience: challenges and opportunities. GIScience 中的人类动力学研究:挑战与机遇。
IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-01 Epub Date: 2024-11-06 DOI: 10.1007/s43762-024-00144-y
Shih-Lung Shaw, Xinyue Ye, Michael Goodchild, Dan Sui

The Symposium on Human Dynamics Research, first organized at the 2015 AAG Meeting in Chicago, celebrated its 10th anniversary at the 2024 AAG Meeting in Honolulu, marking a decade of transformative advancements in the field. Over the past decade, the focus of human dynamics research has shifted from traditional spatial-temporal analyses to sophisticated modeling of human behavior in a hybrid physical-virtual world. This evolving field now examines the intricate interdependencies between physical and digital environments, addressing critical issues such as urban resilience, public health, social equity, and community sustainability. The symposium emphasized the growing importance of interdisciplinary collaboration, advanced data-driven analytical platforms, and innovative theoretical frameworks to better understand human interactions across these spaces. As human dynamics continue to shape global urban systems, these advancements are pivotal for future research and real-world problem-solving, offering novel insights into the interconnectedness of mobility, technology, and societal well-being in a rapidly changing world.

人类动力学研究研讨会于 2015 年在芝加哥举行的 AAG 会议上首次举办,2024 年在檀香山举行的 AAG 会议上庆祝了其成立十周年,标志着该领域取得变革性进展的十年。在过去的十年中,人类动力学研究的重点已经从传统的时空分析转向了对物理-虚拟混合世界中人类行为的复杂建模。这一不断发展的领域现在研究物理环境和数字环境之间错综复杂的相互依存关系,解决城市复原力、公共卫生、社会公平和社区可持续性等关键问题。研讨会强调了跨学科合作、先进的数据驱动分析平台和创新理论框架对于更好地理解人类在这些空间中的互动日益重要。随着人类动态不断塑造全球城市系统,这些进步对未来研究和现实世界问题的解决至关重要,为在瞬息万变的世界中了解流动性、技术和社会福祉之间的相互联系提供了新颖的见解。
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引用次数: 0
The urban footprint of rural forced displacement. 农村被迫流离失所的城市足迹。
IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-01 Epub Date: 2024-11-14 DOI: 10.1007/s43762-024-00148-8
Edwar A Calderon, Jorge E Patino, Juan C Duque, Michael Keith

The rapid growth of marginal settlements in the Global South, largely fueled by the resettlement of millions of internally displaced people (IDPs), underscores the urgent need for tailored housing solutions for these vulnerable populations. However, prevailing approaches have often relied on a one-size-fits-all model, overlooking the diverse socio-spatial realities of IDP communities. Drawing on a case study in Medellin, Colombia, where a significant portion of the population consists of forced migrants, this interdisciplinary study merges concepts from human geography and urban theory with computational methods in remote sensing and exploratory spatial data analysis. By integrating socio-spatial theory with quantitative analysis, we challenge the conventional housing paradigm and propose a novel framework for addressing the housing needs of IDPs. Employing a three-phase methodology rooted in Lefebvre's theoretical framework on the production of space, including participatory mapping, urban morphology characterization, and similarity analysis, we identify distinct patterns within urban IDP settlements and advocate for culturally sensitive housing policies. Our analysis, focusing on Colombia, the country with the largest IDP population globally, reveals the limitations of standardized approaches and highlights the importance of recognizing and accommodating socio-cultural diversity in urban planning. By contesting standardized socio-spatial practices, our research aims not only to promote equality but also to foster recognition and inclusivity within marginalized communities.

全球南部边缘定居点的快速增长,主要是由于数百万境内流离失所者(IDPs)的重新安置所造成的,这突出表明迫切需要为这些弱势人群提供量身定制的住房解决方案。然而,普遍采用的方法往往依赖于 "一刀切 "的模式,忽视了境内流离失所者社区多样化的社会空间现实。哥伦比亚麦德林的大部分人口都是被迫移民,本跨学科研究通过对麦德林的案例研究,将人文地理学和城市理论的概念与遥感和探索性空间数据分析的计算方法相结合。通过将社会空间理论与定量分析相结合,我们对传统的住房范式提出了挑战,并为满足国内流离失所者的住房需求提出了一个新颖的框架。我们采用了植根于列斐伏尔空间生产理论框架的三阶段方法,包括参与式制图、城市形态特征描述和相似性分析,确定了城市 IDP 聚居区的独特模式,并倡导文化敏感型住房政策。哥伦比亚是全球境内流离失所者人口最多的国家,我们的分析以哥伦比亚为重点,揭示了标准化方法的局限性,并强调了在城市规划中承认和包容社会文化多样性的重要性。通过对标准化的社会空间实践提出质疑,我们的研究不仅旨在促进平等,还旨在促进边缘化社区内部的认可和包容。
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引用次数: 0
Neighborhood effects and consequences of criminal justice contact: a research framework. 刑事司法接触的邻里效应和后果:研究框架。
IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-01 Epub Date: 2024-10-11 DOI: 10.1007/s43762-024-00138-w
Ling Wu, Na Li

This paper proposes a framework to examine how neighborhood factors influence criminal justice (CJ) contact and contribute to disparities across multiple stages of the justice process. By conceptualizing the punishment process as a dynamic set of decision-making points, this study highlights the role of neighborhood context in shaping offenders' CJ trajectories and post-CJ residential inequality. Using Harris County, Texas, as a case study, this research considers individual-, neighborhood-, and event-level variables to understand the cumulative effects of neighborhood characteristics on CJ outcomes. This study underscores the critical need to investigate neighborhood mobility and its broader implications for community development and public policy. The findings can be supported by extensive data from the Federal Statistical Research Data Centers and the Criminal Justice Administrative Records System, offering a robust analysis of offenders' spatial patterns and economic transitions.

本文提出了一个框架,以研究邻里因素如何影响刑事司法(CJ)接触,以及如何在司法程序的多个阶段造成差异。通过将惩罚过程概念化为一系列动态的决策点,本研究强调了邻里环境在塑造罪犯的刑事司法轨迹和刑事司法后的居住不平等中的作用。本研究以得克萨斯州哈里斯县为案例,考虑了个人、邻里和事件层面的变量,以了解邻里特征对 CJ 结果的累积影响。本研究强调了调查邻里流动性及其对社区发展和公共政策的广泛影响的迫切需要。联邦统计研究数据中心(Federal Statistical Research Data Centers)和刑事司法行政记录系统(Criminal Justice Administrative Records System)的大量数据为研究结果提供了支持,对罪犯的空间模式和经济转型进行了有力的分析。
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引用次数: 0
Influence of urbanization on winter surface temperatures in a topographically asymmetric Tropical City, Bhubaneswar, India 城市化对印度布巴内斯瓦尔一座地形不对称热带城市冬季地表温度的影响
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-20 DOI: 10.1007/s43762-023-00112-y
H. Nayak, G. Nandini, V. Vinoj, K. Landu, Debadatta Swain, Uma Charan Mohanty, D. Niyogi
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引用次数: 0
Colocations of spatial clusters among different industries 不同产业间的空间集群配置
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-11-06 DOI: 10.1007/s43762-023-00107-9
Ryo Inoue, Shino Shiode, Narushige Shiode
Abstract Spatial colocation has been studied in many contexts including locations of urban facilities, industry entities and businesses. However, identifying colocations among a small number of facilities and establishments holds the risk of introducing false positive in that such a spatial arrangement may have occurred by chance. To account for the association between a group of facilities that frequently colocate with each other, this study proposes a two-step approach consisting of identifying statistically significant clusters of each facility type using the False Discovery Rate (FDR) controlling procedure, and subsequently measuring the colocation of those clusters with the frequent-pattern-growth (FP-growth) algorithm. Empirical analysis of 6 million business and industrial establishments across Japan suggests that 10 out of 86 industry types form clear colocations and their colocations form a multi-layered, cascading structure. The number of layers in the multi-layered structure reflect the city size and the strength of the association between the colocated clusters of industries. These patterns illustrate the utility of detecting colocation of clusters towards understanding the agglomeration of different businesses. The proposed method can be applied to other contexts that would benefit from investigations into how different types of spatial features can be linked with each other and how they form colocations.
空间区位的研究涉及城市设施、工业实体和企业的区位。然而,在少数设施和场所之间确定同一地点有引入假阳性的风险,因为这种空间安排可能是偶然发生的。为了解释一组经常相互搭配的设施之间的关联,本研究提出了一种两步方法,包括使用错误发现率(FDR)控制程序识别每种设施类型的统计显著集群,然后使用频率模式增长(FP-growth)算法测量这些集群的搭配。对日本600万家商业和工业机构的实证分析表明,在86个行业类型中,有10个行业类型形成了明确的搭配,并且它们的搭配形成了多层次的级联结构。多层结构的层数反映了城市规模和产业集群之间的关联强度。这些模式说明了检测集群的托管对理解不同业务的聚集的效用。所提出的方法可以应用于其他背景,这些背景将受益于研究不同类型的空间特征如何相互联系以及它们如何形成搭配。
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引用次数: 0
Urban infrastructure design principles for connected and autonomous vehicles: a case study of Oxford, UK 联网和自动驾驶汽车的城市基础设施设计原则:以英国牛津为例
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-10-31 DOI: 10.1007/s43762-023-00110-0
Huazhen Liu, Miao Yang, ChengHe Guan, Yi Samuel Chen, Michael Keith, Meizi You, Monica Menendez
Abstract Connected and Autonomous Vehicles (CAVs) are reshaping urban systems, demanding substantial computational support. While existing research emphasizes the significance of establishing physical and virtual infrastructure to facilitate CAV integration, a comprehensive framework for designing CAV-related infrastructure principles remains largely absent. This paper introduces a holistic framework that addresses gaps in current literature by presenting principles for the design of CAV-related infrastructure. We identify diverse urban infrastructure types crucial for CAVs, each characterized by intricate considerations. Deriving from existing literature, we introduce five principles to guide investments in physical infrastructure, complemented by four principles specific to virtual infrastructure. These principles are expected to evolve with CAV development and associated technology advancements. Furthermore, we exemplify the application of these principles through a case study in Oxford, UK. In doing so, we assess urban conditions, identify representative streets, and craft CAV-related urban infrastructure tailored to distinct street characteristics. This framework stands as a valuable reference for cities worldwide as they prepare for the increasing adoption of CAVs.
联网和自动驾驶汽车(cav)正在重塑城市系统,需要大量的计算支持。虽然现有研究强调建立物理和虚拟基础设施以促进CAV集成的重要性,但在很大程度上仍然缺乏设计CAV相关基础设施原则的综合框架。本文介绍了一个整体框架,通过提出与cav相关的基础设施设计原则来解决当前文献中的空白。我们确定了对自动驾驶汽车至关重要的各种城市基础设施类型,每种类型都有复杂的考虑因素。根据现有文献,我们介绍了指导物理基础设施投资的五项原则,并补充了针对虚拟基础设施的四项原则。这些原则有望随着CAV的发展和相关技术的进步而发展。此外,我们通过在英国牛津的一个案例研究来举例说明这些原则的应用。在此过程中,我们评估了城市条件,确定了具有代表性的街道,并根据不同的街道特征设计了与汽车相关的城市基础设施。该框架为世界各地的城市准备越来越多地采用自动驾驶汽车提供了有价值的参考。
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引用次数: 0
The impact of scale on extracting urban mobility patterns using texture analysis 尺度对纹理分析提取城市交通格局的影响
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-10-25 DOI: 10.1007/s43762-023-00109-7
Khan Mortuza Bin Asad, Yihong Yuan
Abstract The development of high-precision location tracking devices and advancements in data collection, storage, transmission technologies, and data mining algorithms have led to the availability of large datasets with high spatiotemporal resolution. These geospatial big data can be used to identify human movement patterns in urban areas. However, identifying human movement patterns may yield different results depending on the scale size used. In this paper, we employed first and second order texture analysis algorithms to identify spatial patterns of human movement for various scale sizes based on taxi trajectory data from Nanjing, China. The results demonstrated that texture analysis can quantify changes in human movement patterns for different scale sizes in an urban area. Furthermore, the results may differ based on the location of the study area. This study contributed both methodologically and empirically. Methodologically, we used texture analysis to examine the impact of different scale sizes on the extraction of aggregated human travel patterns. Empirically, we quantified the effects of different scale sizes on extracting aggregated travel patterns of an urban area. Overall, the findings of this study can have significant implications for urban planning and policy-making, as understanding human movement patterns at different scales can provide valuable insights for optimizing transportation systems and enhancing overall urban mobility.
高精度位置跟踪设备的发展以及数据采集、存储、传输技术和数据挖掘算法的进步,使得具有高时空分辨率的大型数据集成为可能。这些地理空间大数据可用于识别城市地区的人类活动模式。然而,根据所使用的尺度大小,识别人类运动模式可能会产生不同的结果。在本文中,我们基于南京出租车轨迹数据,采用一阶和二阶纹理分析算法来识别不同尺度下人类运动的空间模式。结果表明,纹理分析可以量化城市地区不同尺度下人类运动模式的变化。此外,研究结果可能因研究区域的位置而异。这项研究在方法上和经验上都有贡献。在方法上,我们使用纹理分析来检验不同尺度对提取聚合人类旅行模式的影响。在实证研究中,我们量化了不同尺度对提取城市区域综合出行模式的影响。总的来说,这项研究的发现对城市规划和政策制定具有重要意义,因为了解不同尺度的人类运动模式可以为优化交通系统和增强整体城市流动性提供有价值的见解。
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引用次数: 0
Adaptability of everyday planning in urban design practices: self-organization and spontaneous action analysis of Galataport, Istanbul 日常规划在城市设计实践中的适应性:伊斯坦布尔加拉塔波特的自组织和自发行动分析
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-10-03 DOI: 10.1007/s43762-023-00108-8
Cemre Korkut, Oktan Nalbantoğlu
Abstract Cities are information systems by its social and physical components. The data of these components create a wider picture in urban texture than it was designed by planners and designer in urban practices. The idea of collecting the data and composing models of spontaneous actions in urban simulations can add different dimensions to planning ideas in social terms and spatial texture. The issue is to find out how these components can be better related with each other to let citizens be urban planners as well up to some level, and what level that would be. The aim of the project is to bring back the social impact of the whole city as linking the hubs of Karaköy and Kabataş through the waterfront, also reawakening the collective memory of the port, by preserving the texture of warehouses form Ottoman Empire. The final outcome would be understanding how effectively project would be able to create the dynamics that have been proposed, and whether there have been other spontaneous actions thought the designed area.
城市是由社会和物质组成的信息系统。这些组成部分的数据创造了一个更广阔的城市肌理图景,而不是规划师和设计师在城市实践中所设计的。在城市模拟中收集数据和组成自发行为模型的想法可以在社会和空间纹理方面为规划思想增加不同的维度。问题是要找出这些组成部分如何更好地相互关联,让市民在某种程度上也成为城市规划者,以及这个水平是多少。该项目的目的是通过滨水区将Karaköy和kabataku枢纽连接起来,从而恢复整个城市的社会影响,同时通过保留奥斯曼帝国仓库的纹理,重新唤醒港口的集体记忆。最终的结果将是了解项目如何有效地创造所提出的动态,以及在设计区域是否有其他自发的活动。
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引用次数: 0
Urban upgrading of slums: Baghdad and London slums as study models for urban rehabilitation 贫民窟的城市升级:巴格达和伦敦贫民窟作为城市改造的研究模型
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-26 DOI: 10.1007/s43762-023-00106-w
Ali Dhafer Abed
Abstract This phenomenon of slums represents one of the most serious problems that Iraqi cities suffer from, especially the city of Baghdad, which has become teeming with a lot of slum buildings that have distorted most of its areas and neighborhoods. Most of the slums are in the form of scattered construction and chaotic gatherings that do not follow any planning standards. This paper aims to present and analyze the mechanisms of urban upgrading of two models of slums in the city of Baghdad and London. The treatment was through the urban development of these slums and the provision and improvement of services to reduce the phenomenon of total removal. The GIS program was used to calculate the urban variables and requirements, the optimal locations for services, and the total and partial removal percentages. The research achieved the lowest percentage of total and partial removal of the actual areas, which amounted to 7.31% in the first model and 14.26% in the second model. The slum area was also provided with all the necessary services in accordance with the urban housing standards specific to each city, to turn it into a residential neighborhood instead of calling it a slum region.
贫民窟现象是伊拉克城市所面临的最严重的问题之一,尤其是巴格达市,该市充斥着大量的贫民窟建筑,扭曲了大部分地区和社区。大多数贫民窟都是零散的建筑和混乱的聚集,没有遵循任何规划标准。本文旨在介绍和分析巴格达市和伦敦两种贫民窟模式的城市升级机制。治疗办法是通过这些贫民窟的城市发展和提供和改善服务,以减少完全搬迁的现象。GIS程序用于计算城市变量和需求,服务的最佳位置,以及总和部分移除百分比。研究获得的实际面积的全部和部分去除百分比最低,第一个模型为7.31%,第二个模型为14.26%。还根据每个城市的城市住房标准向贫民窟地区提供了所有必要的服务,使其成为居民区,而不是称为贫民窟地区。
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引用次数: 0
期刊
Computational urban science
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