Capturing Flood Risk Perception via Sketch Maps
<p>Workflow showing the different tasks and results of each of the steps of the research. After the design of the case study and the conduction of the field work, the preprocessing of the collected data takes place. These data are analyzed in detail and conclusions are drawn.</p> "> Figure 2
<p>Sketch maps with a single participant‘s risk perception marked in red. (<b>a</b>) Overview base layer of La Florida, Santiago de Chile; (<b>b</b>) detailed view of the study area. QR-Code and black dots allow fast automatic georeferencing of the sketch map. Based on OSM Field Papers [<a href="#B31-ijgi-07-00359" class="html-bibr">31</a>].</p> "> Figure 3
<p>Santiago de Chile with its municipalities of Quilicura (first case study in 2015), and La Florida (second case study in 2016 with a study area in the north and the south, respectively).</p> "> Figure 4
<p>Quilicura: The street “Lo Ovalle” turns into a riverbed during rainfalls due to its lower level compared to the side streets. Blocked gullies increase the runoff (photos taken by author, Quilicura, 6 May 2015).</p> "> Figure 5
<p>Quilicura: Risk perception based on the overview base maps. The blue areas summarize the results of the risk perception maps of the 14 participants while the points indicate the reference data based on the local risk perception from 36 participants; i.e., the intensity of their flood risk perception at that direct location. The darker the blue, the higher the intensity. The orange points indicate the location of the 14 participants during the survey with the OSM field papers.</p> "> Figure 6
<p>Comparison of the risk perception of 12 pedestrians (<b>a</b>) and 18 residents (<b>b</b>) based on the overview maps. The orange points indicate the position of the people during the survey.</p> "> Figure 7
<p>Risk perception based on the detail maps in the north of La Florida (blue). Pedestrians (<b>a</b>) tend to overestimate the area at risk in comparison to residents (<b>b</b>). All perceive the same areas at risk as the local government (triangles). The orange points indicate the position of the people during the survey.</p> ">
Abstract
:1. Introduction
2. Related Work
2.1. Flood Risk Perception
2.2. Capturing of Risk Perception
3. Methods
3.1. Sketch Maps
3.2. Questionnaires
3.3. Combination of Sketch Maps and Questionnaires
3.4. Case Study Design
3.5. Reference Data
4. Case Studies in Santiago de Chile
5. Results
5.1. Case Study in Quilicura, Santiago de Chile
5.1.1. Comparison to Visual Inspections
5.1.2. Comparison to Local Flood Risk Perception
5.2. Case Study in La Florida, Santiago de Chile
5.2.1. Comparison to Critical Points Assessed by the Local Government
5.2.2. Characteristics of Participants
6. Discussion
6.1. Opportunities
6.2. Challenges
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Affectedness | Residents (18) (Average: 3.83) | Pedestrians (12) (Average: 3.58) |
---|---|---|
1 (not affected) | 0 | 0 |
2 | 4 | 2 |
3 | 2 | 5 |
4 | 5 | 1 |
5 (extremely affected) | 7 | 4 |
Affectedness | Residents (18) (Average: 3.56) | Pedestrians (12) (Average: 3.58) |
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1 (not affected) | 2 | 2 |
2 | 3 | 2 |
3 | 1 | 0 |
4 | 7 | 3 |
5 (extremely affected) | 5 | 5 |
Opportunities | Challenges |
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Klonner, C.; Usón, T.J.; Marx, S.; Mocnik, F.-B.; Höfle, B. Capturing Flood Risk Perception via Sketch Maps. ISPRS Int. J. Geo-Inf. 2018, 7, 359. https://doi.org/10.3390/ijgi7090359
Klonner C, Usón TJ, Marx S, Mocnik F-B, Höfle B. Capturing Flood Risk Perception via Sketch Maps. ISPRS International Journal of Geo-Information. 2018; 7(9):359. https://doi.org/10.3390/ijgi7090359
Chicago/Turabian StyleKlonner, Carolin, Tomás J. Usón, Sabrina Marx, Franz-Benjamin Mocnik, and Bernhard Höfle. 2018. "Capturing Flood Risk Perception via Sketch Maps" ISPRS International Journal of Geo-Information 7, no. 9: 359. https://doi.org/10.3390/ijgi7090359