A graph-based modelling approach for the representation and analysis of urban conflicts

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES
Catherine Trudelle , Christophe Claramunt
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引用次数: 0

Abstract

The many human interactions within cities inevitably generate relations between different places, civic and political organisations, authorities, and eventually conflictual events. Among all conflicts occurring in urban environments, if some are isolated events, many are connected by strong dependencies that generate networks in space and time. The research presented in this paper introduces a graph-based approach whose objective is to track the intertwined relations and dependencies that are associated with registered conflicts. The approach is experimented with and implemented using a combination of a graph-based database and visual graphics that together provide a series of data query capabilities and analysis specifically adapted to the context of our study. An experimental application to a series of conflicts reported in local media from 1985 to 2007 in the urban area of Montréal in Canada is presented and discussed.
基于图的城市冲突表示和分析建模方法
城市中的许多人际交往不可避免地会产生不同地方、公民和政治组织、当局之间的关系,并最终引发冲突事件。在城市环境中发生的所有冲突中,如果说有些是孤立的事件,那么许多冲突则是由强烈的依赖关系连接起来的,从而在空间和时间上形成网络。本文介绍的研究引入了一种基于图的方法,其目标是跟踪与已登记冲突相关的相互交织的关系和依赖性。该方法结合了基于图形的数据库和可视化图形,提供了一系列数据查询功能和分析功能,特别适合我们的研究。本文介绍并讨论了对 1985 年至 2007 年加拿大蒙特利尔市当地媒体报道的一系列冲突的实验应用。
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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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