The influence of urban expansion on the flood hazard in Santiago de Chile

Ebert, Annemarie; Banzhaf, Ellen; McPhee, James

doi:10.1109/urs.2009.5137601

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…Climate change, urban expansion and the resulting land-use changes and growing number of settlements in areas at risk lead to increasing numbers of people affected by natural hazards [1][2][3]. The European Flood Directive 2007/60/EC [4], amongst other international conventions, emphasize the integration of citizens and more public participation in the hazard analysis, especially the flood management [5,6].…”

Section: Introductionmentioning

confidence: 99%

Capturing Flood Risk Perception via Sketch Maps

Klonner

Usón

Marx

et al. 2018

IJGI

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The fact that an increasing number of people and local authorities are affected by natural hazards, especially floods, highlights the necessity of adequate mitigation and preparedness within disaster management. Many governments, though, have only insufficient monetary or technological capacities. One possible approach to tackle these issues is the acquisition of information by sketch maps complemented by questionnaires, which allows to digitally capture flood risk perception. We investigate which factors influence information collected by sketch maps and questionnaires in case studies in an area prone to pluvial flooding in Santiago de Chile. Our aim is to gain more information about the methods applied. Hereby, we focus on the spatial acquisition scale of sketch maps and personal characteristics of the participants, for example, whether they live at this very location of the survey (residents) or are pedestrians passing by. Our results show that the choice of the acquisition scale of the base map influences the amount and level of detail of information captured via sketch maps. Thus, detail base maps lead to more precise results when compared to reference data, especially in the case of residents. The results also reveal that the place of living of the respondents has an effect on the resulting information because on the neighborhood level the risk perception of residents is more detailed than the one of pedestrians. The study suggests that the integration of citizens via sketch maps can provide information about flood risk perception, and thus can influence the flood mitigation in the area.

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Section: Introductionmentioning

confidence: 99%

Capturing Flood Risk Perception via Sketch Maps

Klonner

Usón

Marx

et al. 2018

IJGI

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“…The number of incidents related to natural hazards has been increasing tremendously in the past few decades, which has resulted in more and more affected people and settlements [2]. This development is partly caused by changing climate conditions, by the impact of human beings in nature, as well as by a higher number of people living in risk areas due to a rapidly-growing world population [3].…”

Section: Introductionmentioning

confidence: 99%

Volunteered Geographic Information in Natural Hazard Analysis: A Systematic Literature Review of Current Approaches with a Focus on Preparedness and Mitigation

Klonner

Marx

Usón

et al. 2016

IJGI

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Abstract:With the rise of new technologies, citizens can contribute to scientific research via Web 2.0 applications for collecting and distributing geospatial data. Integrating local knowledge, personal experience and up-to-date geoinformation indicates a promising approach for the theoretical framework and the methods of natural hazard analysis. Our systematic literature review aims at identifying current research and directions for future research in terms of Volunteered Geographic Information (VGI) within natural hazard analysis. Focusing on both the preparedness and mitigation phase results in eleven articles from two literature databases. A qualitative analysis for in-depth information extraction reveals auspicious approaches regarding community engagement and data fusion, but also important research gaps. Mainly based in Europe and North America, the analysed studies deal primarily with floods and forest fires, applying geodata collected by trained citizens who are improving their knowledge and making their own interpretations. Yet, there is still a lack of common scientific terms and concepts. Future research can use these findings for the adaptation of scientific models of natural hazard analysis in order to enable the fusion of data from technical sensors and VGI. The development of such general methods shall contribute to establishing the user integration into various contexts, such as natural hazard analysis.

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