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
Ali Soltani, Omid Mansourihanis, Mohsen RoohaniQadikolaei, Ayda Zaroujtaghi
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引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention

Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention

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.

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来源期刊
CiteScore
3.80
自引率
5.30%
发文量
57
期刊介绍: Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts  Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.   FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.   Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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