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A Methodological Benchmark in Determining the Urban Growth: Spatiotemporal Projections for Eskişehir, Türkiye 确定城市增长的方法基准:土耳其埃斯基谢希尔的时空预测
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-08-10 DOI: 10.1007/s12061-024-09592-9
Oznur Isinkaralar

Urban growth changes spatial uses over time due to different dynamics. These processes cause many physical, environmental, and socioeconomic problems, such as climate change, pollution, and population-related events. Therefore, it is essential to predict future urban expansion to produce effective policies in sustainable urban planning and make long-term plans. Many models, such as dynamic, statistical, and Cellular Automata and Markov Chain (CA-MC) models, are used in geographic information system (GIS) environments to meet the high-performance requirements of land use modeling. This study estimated the growth of settled areas in Eskişehir city center using models developed using two different methods. In this context, settled areas in the city center were examined within the scope of 1990–2018, and the growth areas of settled areas in 2046 were predicted using the CA-Markov method in Model 1: Quantum GIS (QGIS) MOLUSCE plugin and Model 2: IDRISI Selva. While settled areas are continuously increasing, other urban areas are decreasing. Model 1 predicts an increase of 1195 ha in settled areas by 2046, while Model 2 predicts an increase of 45,022 ha. At the same time, it is concluded that settled areas will grow in a central location in Model 1, while they will spread in an east-west extension in Model 2. The study results show that QGIS-based modeling predicts more limited spatial growth than IDRISI Selva. The research interprets growth in terms of the staging of urban services, the population size of neighboring cities, distances, and income levels based on the internal and external dynamics of the city.

随着时间的推移,城市增长会因不同的动态变化而改变空间用途。这些过程会导致许多物理、环境和社会经济问题,如气候变化、污染和人口相关事件。因此,必须预测未来的城市扩张,以制定有效的可持续城市规划政策和长期计划。地理信息系统(GIS)环境中使用了许多模型,如动态模型、统计模型、细胞自动机和马尔可夫链(CA-MC)模型,以满足土地利用建模的高性能要求。本研究使用两种不同方法开发的模型估算了埃斯基谢希尔市中心定居区的增长情况。在此背景下,在 1990-2018 年的范围内考察了市中心的定居区,并在模型 1:Quantum GIS (QGIS) MOLUSCE 插件和模型 2:IDRISI Selva 中使用 CA-Markov 方法预测了 2046 年定居区的增长区域。在定居区持续增加的同时,其他城市区域却在减少。模型 1 预测到 2046 年定居区面积将增加 1195 公顷,而模型 2 预测将增加 45022 公顷。同时,模型 1 预测定居区将在中心位置增长,而模型 2 预测定居区将向东西方向扩展。研究结果表明,基于 QGIS 的模型比 IDRISI Selva 预测的空间增长更为有限。研究从城市服务设施的分期、邻近城市的人口规模、距离以及基于城市内部和外部动态的收入水平等方面对增长进行了解释。
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引用次数: 0
Spatio-temporal evolution, driving mechanisms, and simulation of land use and cover in China from 2000 to 2060 2000 至 2060 年中国土地利用和植被的时空演变、驱动机制及模拟
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-08-05 DOI: 10.1007/s12061-024-09598-3
Jiandong Chen, Miaomiao Liu, Xingyu Chen, Zhiwen Li

Increasingly frequent land evolution in China seriously impacts the sustainable supply of ecosystem services as well as the economy's steady and sustainable growth. Driven by physiographic, socioeconomic, and transportation accessibility factors, China has experienced significant mutual changes among gra ssland, forest, unused land, and cropland over the past 20 years, particularly before 2010. Projections for 2030 and 2060 indicate an increase in cropland, accompanied by a degradation of forest and grassland. Future land changes will vary under different policy scenarios. Specifically, the source of urbanization land will shift from cropland to grassland if cropland is protected, whereas cropland areas will continue to decrease under the environmental preservation scenario. In the future, China should maintain agricultural policies based on cropland protection and the ecological restoration policy that places an emphasis on natural restoration. These findings provide a reference for achieving sustainable land development.

中国日益频繁的土地演变严重影响了生态系统服务的可持续供应以及经济的稳定和可持续增长。受自然地理、社会经济和交通便利等因素的影响,过去 20 年,特别是 2010 年之前,中国的草地、森林、未利用地和耕地之间发生了显著的相互变化。对 2030 年和 2060 年的预测表明,耕地面积将增加,同时森林和草地将退化。在不同的政策情景下,未来的土地变化会有所不同。具体而言,如果耕地得到保护,城市化用地的来源将从耕地转向草地,而在环境保护情景下,耕地面积将继续减少。未来,中国应坚持以耕地保护为基础的农业政策和强调自然恢复的生态修复政策。这些研究结果为实现土地可持续发展提供了参考。
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引用次数: 0
Scientific Evaluation of Fengshui from the Perspective of Geography: Empirical Evidence from the Site Selection of Traditional Hakka Villages 从地理学角度科学评价风水:客家传统村落选址的经验证据
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-07-25 DOI: 10.1007/s12061-024-09595-6
Renjin Guan, Youliang Chen, Xunjun Chen

Fengshui is extensively employed in China to determine the best locations for ancient buildings, villages, palaces, and tombs. Exploring the science of Fengshui is vital in improving the quality of urban planning, site selection, and human environment. We take the “Form School” Fengshui as the research object, take the Location Selection of Hakka Villages as an Example, and propose a comprehensive site selection model (AHP-GIS model) by combining expert consultation, hierarchical analysis, spatial superposition analysis and kernel density analysis. According to the geographical single-factor evaluation, AHP-GIS evaluation, and the distribution results of traditional Hakka villages in Ganzhou, China, a comparative analysis is conducted to verify the scientific nature of Fengshui. We also evaluate the Science of Fengshui from the micro perspective by the example of the site selection of Bailu Ancient Village. The results show that the geographic single-factor evaluation results and AHP-GIS comprehensive evaluation results coincide with the spatial distribution of Hakka traditional villages. The Fengshui has played an important guiding role in the site selection of Hakka traditional villages in Ganzhou. Its basic principles contain rich knowledge of geography, ecology, psychology and sociology, which has important reference value for guiding urban planning and construction and improving human settlements.

在中国,风水被广泛用于确定古建筑、村庄、宫殿和陵墓的最佳位置。探索风水科学对提高城市规划、选址和人居环境质量至关重要。我们以 "形上学 "风水学为研究对象,以客家村落选址为例,结合专家咨询、层次分析法、空间叠加分析法和核密度分析法,提出了综合选址模型(AHP-GIS 模型)。根据地理单因子评价、AHP-GIS 评价和中国赣州客家传统村落分布结果,进行对比分析,验证风水的科学性。并以白鹿古村选址为例,从微观角度评价风水的科学性。结果表明,地理单因子评价结果和AHP-GIS综合评价结果与客家传统村落的空间分布相吻合。风水学在赣州客家传统村落选址中发挥了重要的指导作用。其基本原理包含了丰富的地理学、生态学、心理学和社会学知识,对指导城市规划建设、改善人居环境具有重要的参考价值。
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引用次数: 0
A Public Participation GIS for Infrastructure Assessment in Rural Human Settlements 用于农村人类住区基础设施评估的公众参与地理信息系统
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-07-12 DOI: 10.1007/s12061-024-09594-7
Fatemeh Sadat Hosseini, Mohammadreza Jelokhani-Niaraki, Hassanali Faraji Sabokbar

A significant part of the rural problems is related to infrastructure issues, which can cause economic, cultural, and social problems in villages or rural human settlements. Various methods for evaluating infrastructure issues are currently used traditionally in many countries. However, due to the rapid growth and range of infrastructure problems in the villages, as well as the need for immediate and optimal handling of the problems in the villages, the need for a tool to record and monitor the problems as best as possible is felt more than ever. Today, with the advancement of Geographic Information System (GIS) and web-based tools, a quick and easy platform for participatory and collaborative spatial problem solving has been provided at any place, at any time, and with any means. The current research involves the evaluation of infrastructures in rural human settlements using the Public Participation GIS (PPGIS) tool. The research consists of three main stages: (1) the needs assessment of the PPGIS to solve the infrastructure problems of rural human settlements, (2) the design of the system based on the needs assessment, and (3) the evaluation of the usability of the designed system in the villages. To achieve the above goals, first, a system needs assessment questionnaire was designed and distributed in the villages of Shahriar County, Tehran province, Iran. Then, based on the needs assessment results, a PPGIS was designed and implemented in the villages of Eskman, Dehshad Bala, Razi Abad Bayan, and Asil Abad. The people of these villages were invited to report their problems in a location-based manner through the PPGIS tool and finally to complete the questionnaire related to the system’s usability. The results show that 24% reported that water and sewage problems were the highest infrastructure problems. Regarding using the system’s features, 92% of the participants used point features to report problems, and 20% uploaded their problem reports along with a photo. The results of the evaluation of the system’s usability show that despite the willingness of the villagers to use the system, the need for training in the use of maps and geographic information tools, simplifying and improving the user interface, creating a culture in the field of using geographic information systems to participate in reporting problems is felt.

农村问题的很大一部分与基础设施问题有关,这些问题会给村庄或农村人类住区带来经济、文化和社会问题。目前,许多国家传统上使用各种方法来评估基础设施问题。然而,由于乡村基础设施问题的快速增长和范围的扩大,以及需要立即以最佳方式处理乡村问题,人们比以往任何时候都更需要一种工具来尽可能好地记录和监测这些问题。如今,随着地理信息系统(GIS)和网络工具的发展,已经提供了一个随时随地、以任何方式参与和协作解决空间问题的快捷平台。目前的研究涉及利用公众参与地理信息系统(PPGIS)工具对农村人类住区的基础设施进行评估。研究包括三个主要阶段:(1) 对 PPGIS 的需求评估,以解决农村人类住区的基础设施问题;(2) 根据需求评估设计系统;(3) 评估所设计系统在村庄中的可用性。为实现上述目标,首先设计了系统需求评估问卷,并在伊朗德黑兰省沙赫里亚尔县的村庄发放。然后,根据需求评估结果,设计了 PPGIS 系统,并在 Eskman、Dehshad Bala、Razi Abad Bayan 和 Asil Abad 等村庄实施。这些村庄的居民被邀请通过 PPGIS 工具以基于位置的方式报告他们的问题,最后完成与系统可用性有关的问卷。结果显示,24% 的人表示供水和排污问题是最严重的基础设施问题。在系统功能的使用方面,92% 的参与者使用了点功能来报告问题,20% 的参与者上传了问题报告和照片。对系统可用性的评估结果表明,尽管村民们愿意使用该系统,但仍需要对他们进行使用地图和地理信息工具方面的培训,简化和改进用户界面,在该领域营造使用地理信息系统参与报告问题的文化氛围。
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引用次数: 0
Investigating Financial Motivators and Demotivators of Urban Sprawl Through the Lens of Municipalities: A Case of the Qom Municipality, Iran 通过市政当局的视角调查城市无计划扩展的财政动因和非动因:伊朗库姆市案例
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-07-08 DOI: 10.1007/s12061-024-09591-w
Mehran Hajilou, Abolfazl Meshkini, Safar Ghaedrahmati, Mohammad Mirehei

Some studies speak of the financial and economic benefits of urban sprawl indicating that there is little evidence that compact cities outside of high-income countries are more productive. Considering the contradictions, this research seeks to identify and analyze the financial factors driving or impeding urban sprawl in one of the Iranian large cities, Qom City. The results show that urban sprawl is a costly phenomenon for the municipality in the long term. However, urban officials have some incentives to encourage urban sprawl. The most significant advantage of urban sprawl is the increase in income from the sale of municipal (immovable) property. More than 50% of the municipality's revenues are provided from land and related developments and this increases the incentive to expand the city and the lack of control over the urban sprawl. Urban sprawl also imposes financial costs on the municipality, and the most significant financial obstacle is the increase in the costs of urban transportation and traffic improvement(26% on average up to 55% in some years). Iranian municipalities mainly rely on unsustainable revenue sources, and a large part of their revenues are provided through urban sprawl and its related revenue sources, threatening peripheral environments more than ever.

一些研究谈到了城市扩张的金融和经济效益,但几乎没有证据表明高收入国家以外的紧凑型城市更具生产力。考虑到上述矛盾,本研究试图确定并分析伊朗大城市库姆市推动或阻碍城市无计划扩展的财务因素。研究结果表明,从长远来看,城市无计划扩展对市政府来说是一种代价高昂的现象。然而,城市官员有一些鼓励城市无计划扩展的激励措施。城市扩张的最大优势是出售市政(不动产)的收入增加。市政收入的 50%以上来自土地和相关开发项目,这增加了城市扩张的动力,也使城市扩张缺乏控制。城市扩张也给市政当局带来了财政成本,最主要的财政障碍是城市交通和交通改善成本的增加(平均 26%,有些年份甚至高达 55%)。伊朗市政当局主要依靠不可持续的收入来源,其收入的很大一部分是通过城市无计划扩展及其相关收入来源提供的,这比以往任何时候都更加威胁周边环境。
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引用次数: 0
The Cooling Effect of Plant Configuration on Urban Parks Green Space in Temperate Continental Climate Zones 温带大陆性气候区城市公园绿地植物配置的降温效果
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-07-06 DOI: 10.1007/s12061-024-09590-x
Xiaomeng Nie, Juntian Lin, Juanli Ma, Bing Cao, Yinghong Li, Yu Lu, Yingying Bian, Jiajia Liu, Ping Zhang

In temperate continental climate zones with hot summers and significant diurnal temperature differences, the park green space construction is an effective way to increase park visitor comfort and mitigate urban daytime high temperatures. In this experiment, 42 plant configurationss were selected and classified into 12 configuration typesbased on three indicators of the underlying surface, tree species, and canopy density in 6 parks in Yinchuan, Wuzhong and Zhongwei cities of Ningxia, China, in the summer of 2019 and 2020.The air temperature of the sample plots (8:00 ~ 18:00) was measured with a Kestrel NK5500 weather station, and the daily air temperature variation pattern of each typical plant configuration was analyzed, the cooling effect of the 12 configuration types and its controlling factors were revealed based on the air temperature difference (park air temperature—weather station air temperature). There was a significant negative correlation between canopy density and the cooling effect of green lands(P < 0.05,the same below), but the underlying surface and tree species configuration of the green lands could not contributed to the cooling effect. The park green lands with ≥ 40% canopy density had a significant cooling effect compared with hard-paved park areas during the daytime (8:00–18:00). The average daytime temperature of green areas with 40–60% canopy density decreased by about 0.5 °C, and those with > 60% canopy density decreased by 1.1–1.5 °C. In the daytime, the cooling effect of green areas was stable from 8:00 to 12:00 and from 12:00 to 15:00, when the degree of canopy density reached 50% and 40% and above, respectively. And from 15:00 to 18:00, all plant configurations (including grass) had a cooling effect, and the overall cooling effect increased with the process of canopy density.This study provides guidance for the risk management of summer high temperatures and the planning of public green space construction based on cooling effects in cities of continental climate zones.

在夏季炎热、昼夜温差大的温带大陆性气候区,公园绿地建设是提高公园游客舒适度、缓解城市日间高温的有效途径。本实验于2019年和2020年夏季在中国宁夏银川市、吴忠市和中卫市的6个公园选取了42种植物配置,并根据下垫面、树种和树冠密度三项指标将其划分为12种配置类型。利用 Kestrel NK5500 气象站测量了样地(8:00~18:00)的气温,分析了各典型植物配置的日气温变化规律,并根据气温差(公园气温-气象站气温)揭示了 12 种配置类型的降温效果及其控制因素。树冠密度与绿地降温效果呈显著负相关(P <0.05,下同),但绿地底层地表和树种配置对降温效果的影响不大。在白天(8:00-18:00),树冠密度≥40%的公园绿地与硬质铺装公园绿地相比具有显著的降温效果。树冠密度为 40-60% 的绿地的日间平均气温降低了约 0.5 °C,树冠密度为 60% 的绿地的日间平均气温降低了 1.1-1.5 °C。在白天,当树冠密度分别达到 50%和 40%及以上时,绿地的降温效果在 8:00 至 12:00 和 12:00 至 15:00 比较稳定。该研究为大陆性气候区城市夏季高温风险管理和基于降温效应的公共绿地建设规划提供了指导。
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引用次数: 0
Using a Spatial Access Measure to assess the Relationship between Alcohol Outlet Types and Various Violent Crimes in the Bronx, NY 使用空间获取测量法评估纽约州布朗克斯区酒类销售点类型与各种暴力犯罪之间的关系
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-07-06 DOI: 10.1007/s12061-024-09589-4
Ann Marie Singh, Stephen F. Pires, M. Dylan Spencer

The spatial relationship between violent crime and alcohol outlets is well documented. Yet, it is unclear whether on- or off-premises alcohol outlets have greater effects on violent crime and whether this varies by interpersonal crimes and off-premises outlet subtype. This study addresses this gap by using both Routine Activities and Social Disorganization Theories. Using census block groups (n = 1,126) in the Bronx, NY, spatial access methods were used to measure violent crimes from 2018 to 2020 (n = 28,587) and alcohol outlets from 2020 (n = 1,984). Social disorganization measures consisting of various socioeconomic factors and accessibility factors were included. Five models were estimated using a Spatial Lag regression model. A positive direct, indirect, and total effect was observed for liquor, grocery, and drug stores on total violent crime exposure, but on-premise alcohol outlets was not related. Specific types of off-premises alcohol outlets were associated with various violent crimes, with liquor and grocery stores consistently related across all models. On-premises alcohol outlets were not associated with violent crime with the exception of assaults.

暴力犯罪与酒类销售点之间的空间关系有据可查。然而,目前还不清楚是店内还是店外的酒类销售点对暴力犯罪的影响更大,也不清楚人际犯罪和店外酒类销售点的子类型是否会产生不同的影响。本研究通过使用常规活动理论和社会组织理论来填补这一空白。利用纽约州布朗克斯区的人口普查街区组(n = 1,126),采用空间访问方法测量了 2018 年至 2020 年的暴力犯罪情况(n = 28,587 例)和 2020 年的酒类销售点情况(n = 1,984 例)。社会无序度量包括各种社会经济因素和可达性因素。使用空间滞后回归模型估算了五个模型。结果表明,酒类、杂货店和药店对暴力犯罪的直接、间接和总体影响均为正,但酒类销售点与暴力犯罪无关。特定类型的店外酒类销售点与各种暴力犯罪有关,其中酒类和杂货店在所有模型中都有关联。除袭击案件外,酒类销售点与暴力犯罪无关。
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引用次数: 0
The Relationship between Industrial Parks and County Economic Growth in Underdeveloped Areas: Evidence from Gansu Province of China 欠发达地区工业园区与县域经济增长的关系:来自中国甘肃省的证据
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-06-29 DOI: 10.1007/s12061-024-09593-8
Shaobo Wang, Junfeng Liu

Compared to developed regions, the development of industrial parks in underdeveloped areas has certain particularities. However, existing researches do not give a clear answer to the relationship between industrial parks and county economic development in underdeveloped areas. This article analyzes the relationship, heterogeneous effects, and pathways between industrial park construction and county-level economic growth in Gansu Province based on the DID model. It was found that industrial parks have a positive promoting effect on underdeveloped areas. And as time goes on, the promotion effect becomes more apparent. Secondly, the development of industrial parks in underdeveloped areas is still in its early stages and their scale is generally small, which means that industrial parks have a lower impact on the economies of counties with higher economic scales. At the same time, compared to provincial-level parks, national level parks have a lower impact on the economies of major counties. However, for developed regions, the development of industrial parks is relatively mature, and their impact on economic growth has shown a positive relationship consistent with the economic scale. In addition, industrial parks in underdeveloped areas mainly act on county-level economic development through capital agglomeration, but the agglomeration effect of human resources is not significant. Industrial parks in developed regions play a significant role in gathering capital, human resources, and other aspects.

与发达地区相比,欠发达地区的工业园区发展具有一定的特殊性。然而,现有研究对欠发达地区工业园区与县域经济发展的关系并没有给出明确的答案。本文基于 DID 模型,分析了甘肃省工业园区建设与县域经济增长之间的关系、异质效应和路径。研究发现,工业园区对欠发达地区具有积极的促进作用。而且随着时间的推移,促进作用会越来越明显。其次,欠发达地区的产业园区发展尚处于初级阶段,规模普遍较小,这意味着产业园区对经济规模较高的县域经济的影响较小。同时,与省级园区相比,国家级园区对主要县域经济的影响也较小。但对于发达地区而言,产业园区的发展相对成熟,其对经济增长的影响与经济规模呈正相关关系。此外,欠发达地区的产业园区主要通过资本集聚作用于县域经济发展,但人力资源的集聚效应并不显著。发达地区的产业园区在资本、人力资源等方面的集聚作用明显。
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引用次数: 0
Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention 地理空间演变二十年:追溯数据驱动的道路交通事故预防分析之旅
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-06-28 DOI: 10.1007/s12061-024-09587-6
Ali Soltani, Omid Mansourihanis, Mohsen RoohaniQadikolaei, Ayda Zaroujtaghi

Globally, road crashes impose massive burdens, and understanding the complex factors influencing crash patterns requires advanced analytical methods. This study reviews 20 years of published literature on geospatial crash analysis to chart key innovations shaping this critical field. The analysis reveals a progression from fundamental mapping approaches towards integrative predictive modelling and dynamic risk monitoring leveraging diverse data sources. While crash records and road networks remain core datasets, aerial imagery, social media, weather, infrastructure attributes, and traffic data have become increasingly incorporated. Techniques have evolved from hotspot analysis to sophisticated machine learning algorithms automating crash prediction and factor analysis. Research objectives now emphasize not just pattern identification but predictive risk modelling, and there is an increased focus on prevention through improved emergency response, infrastructure enhancements, and targeted countermeasures. Interactive 3D visualizations and virtual reality applications are enhancing geospatial communication and decision-making. As geospatial innovations and data integration accelerate, this continuously advancing field holds tremendous potential to guide proactive evidence-based road safety planning. However, validating analysis approaches and assessing geographic transferability remain critical research needs. By synthesizing two decades of developments, this study provides key perspectives to harness geospatial technology innovations and unlock new frontiers in data-driven road crash prevention worldwide.

在全球范围内,道路交通事故造成了巨大的负担,而了解影响交通事故模式的复杂因素需要先进的分析方法。本研究回顾了 20 年来已发表的有关地理空间碰撞分析的文献,以勾勒出塑造这一关键领域的关键创新。分析揭示了从基本制图方法到综合预测建模以及利用各种数据源进行动态风险监控的发展过程。虽然碰撞记录和道路网络仍是核心数据集,但航空图像、社交媒体、天气、基础设施属性和交通数据已被越来越多地纳入其中。技术已经从热点分析发展到复杂的机器学习算法,实现了碰撞预测和因素分析的自动化。现在的研究目标不仅强调模式识别,还强调预测性风险建模,并且更加注重通过改进应急响应、加强基础设施和有针对性的应对措施来预防事故的发生。交互式三维可视化和虚拟现实应用正在加强地理空间通信和决策。随着地理空间创新和数据整合的加速,这一不断进步的领域蕴含着巨大的潜力,可以指导积极主动的循证道路安全规划。然而,验证分析方法和评估地理可转移性仍然是关键的研究需求。通过综合二十年来的发展,本研究提供了利用地理空间技术创新的关键视角,并开启了全球数据驱动型道路碰撞预防的新领域。
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引用次数: 0
Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond 从 COVID-19 大流行中获得的启示:数据挖掘及其他调查
IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Pub Date : 2024-06-22 DOI: 10.1007/s12061-024-09588-5
Imad Afyouni, Ibrahim Hashim, Zaher Aghbari, Tarek Elsaka, Mothanna Almahmoud, Laith Abualigah

The global health crisis of COVID-19 has ushered in an era of unprecedented data generation, encompassing the virus’s transmission patterns, societal consequences, and governmental responses. Data mining has emerged as a pivotal tool for extracting invaluable insights from this voluminous dataset, offering critical support for informed decision-making. While existing surveys primarily explore methodologies for detecting COVID-19 in medical imagery and official sources, this article comprehensively examines the pandemic through big data mining. We emphasize the significance of social network analysis, shedding light on the pandemic’s profound influence on community socio-economic behavior. Additionally, we illuminate advancements in diverse domains, encompassing behavioral impact analysis on social media, contact tracing implications, early disease screening through medical imaging, and insights derived from health-related time-series data analytics. Our study further organizes the literature by categorizing it based on data sources, dataset types, analytical approaches, techniques, and application scenarios. Finally, we delineate prevailing challenges and forthcoming research prospects, charting the course for future investigations.

摘要 COVID-19 带来的全球健康危机开创了一个前所未有的数据生成时代,涵盖了病毒的传播模式、社会后果和政府应对措施。数据挖掘已成为从这一庞大数据集中提取宝贵见解的关键工具,为知情决策提供了重要支持。现有调查主要探讨了从医学图像和官方资料中检测 COVID-19 的方法,而本文则通过大数据挖掘对这一流行病进行了全面研究。我们强调了社会网络分析的重要性,揭示了大流行病对社区社会经济行为的深刻影响。此外,我们还阐述了在不同领域取得的进展,包括社交媒体上的行为影响分析、接触者追踪的意义、通过医学影像进行早期疾病筛查,以及从与健康相关的时间序列数据分析中得出的见解。我们的研究根据数据源、数据集类型、分析方法、技术和应用场景对文献进行了分类,从而进一步对文献进行了整理。最后,我们描绘了当前的挑战和即将到来的研究前景,为未来的研究指明了方向。
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引用次数: 0
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Applied Spatial Analysis and Policy
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