{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T15:58:47Z","timestamp":1772294327366,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T00:00:00Z","timestamp":1535587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008661","name":"Heidelberger Akademie der Wissenschaften","doi-asserted-by":"publisher","award":["WIN-Kolleg"],"award-info":[{"award-number":["WIN-Kolleg"]}],"id":[{"id":"10.13039\/100008661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi7090359","type":"journal-article","created":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T10:30:06Z","timestamp":1535625006000},"page":"359","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Capturing Flood Risk Perception via Sketch Maps"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1981-2204","authenticated-orcid":false,"given":"Carolin","family":"Klonner","sequence":"first","affiliation":[{"name":"Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany"},{"name":"Heidelberg Academy of Sciences and Humanities (HAW), 69117 Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom\u00e1s J.","family":"Us\u00f3n","sequence":"additional","affiliation":[{"name":"Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabrina","family":"Marx","sequence":"additional","affiliation":[{"name":"Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1759-6336","authenticated-orcid":false,"given":"Franz-Benjamin","family":"Mocnik","sequence":"additional","affiliation":[{"name":"Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5849-1461","authenticated-orcid":false,"given":"Bernhard","family":"H\u00f6fle","sequence":"additional","affiliation":[{"name":"Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany"},{"name":"Heidelberg Academy of Sciences and Humanities (HAW), 69117 Heidelberg, Germany"},{"name":"Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany"},{"name":"Heidelberg Center for the Environment (HCE), Heidelberg University, 69120 Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,8,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1111\/j.1753-318X.2010.01061.x","article-title":"Urban pluvial flooding: A qualitative case study of cause, effect and nonstructural mitigation","volume":"3","author":"Douglas","year":"2010","journal-title":"J. Flood Risk Manag."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ebert, A., Banzhaf, E., and McPhee, J. (2009, January 20\u201322). The influence of urban expansion on the flood hazard in Santiago de Chile. Proceedings of the 2009 Joint Urban Remote Sensing Event, Shanghai, China.","DOI":"10.1109\/URS.2009.5137601"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1111\/j.1539-6924.2007.00916.x","article-title":"Mental models of flash floods and landslides","volume":"27","author":"Wagner","year":"2007","journal-title":"Risk Anal."},{"key":"ref_4","unstructured":"European Commission (2018, June 08). The EU Floods Directive. Available online: http:\/\/ec.europa.eu\/environment\/water\/flood_risk\/."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.jhydrol.2016.01.036","article-title":"To share or not to share: Drivers and barriers for sharing data via online amateur weather networks","volume":"535","author":"Gharesifard","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.envsci.2014.12.017","article-title":"Participation in flood risk management and the potential of citizen observatories: A governance analysis","volume":"48","author":"Wehn","year":"2015","journal-title":"Environ. Sci. Policy"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Klonner, C., Marx, S., Us\u00f3n, T., Porto de Albuquerque, J., and H\u00f6fle, B. (2016). Volunteered geographic information in natural hazard analysis: A systematic literature review of current approaches with a focus on preparedness and mitigation. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5070103"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.5194\/hess-22-1473-2018","article-title":"Citizen observations contributing to flood modelling: Opportunities and challenges","volume":"22","author":"Popescu","year":"2018","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1038\/s41558-018-0085-1","article-title":"Integrating human behaviour dynamics into flood disaster risk assessment","volume":"8","author":"Aerts","year":"2018","journal-title":"Nat. Clim. Chang."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"669","DOI":"10.5194\/nhess-13-669-2013","article-title":"Improving remote sensing flood assessment using volunteered geographical data","volume":"13","author":"Schnebele","year":"2013","journal-title":"Nat. Hazard Earth Syst. Sci."},{"key":"ref_11","unstructured":"Degrossi, L.C., Porto De Albuquerque, J., Fava, M.C., and Mendiondo, E.M. (2014, January 1\u20133). Flood citizen observatory: A crowdsourcing-based approach for flood risk management in Brazil. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, Hyatt Regency, Vancouver, BC, Canada."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.1007\/s11069-014-1559-8","article-title":"Exploring a spatial statistical approach to quantify flood risk perception using cognitive maps","volume":"76","author":"Brennan","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_13","unstructured":"Tapia, A., Antunes, P., Ba\u00f1uls, V.A., Moore, K., and Porto, J. (2016). Risk awareness maps of urban flooding via OSM Field Papers-case study Santiago de Chile. Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management, Rio de Janeiro, Brazil, 22\u201325 May 2016, Federal University of Rio de Janeiro."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/00330124.2013.781490","article-title":"Sketch maps and qualitative GIS: Using cartographies of individual spatial narratives in geographic research","volume":"66","author":"Boschmann","year":"2014","journal-title":"Prof. Geogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1177\/0309132512446717","article-title":"From knowledge to action: Bridging gaps in disaster risk reduction","volume":"37","author":"Gaillard","year":"2013","journal-title":"Prog. Hum. Geog."},{"key":"ref_16","unstructured":"Felgentreff, C., and Glade, T. (2008). Hochwasser, Sturzfluten und Ausbruchsflutwellen. Naturrisiken und Sozialkatastrophen, Spektrum Akademischer Verlag."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Banzhaf, E., Kindler, A., M\u00fcller, A., Metz, K., Reyes-Paecke, S., and Weiland, U. (2012). Land-use change, risk and land-use management. Risk Habitat Megacity, Springer.","DOI":"10.1007\/978-3-642-11544-8_7"},{"key":"ref_18","unstructured":"Lynch, K. (1960). The Image of the City, MIT Press."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/S0272-4944(05)80032-5","article-title":"The reliability of data collected from sketch maps","volume":"10","author":"Blades","year":"1990","journal-title":"J. Environ. Psychol."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Sui, D., Elwood, S., and Goodchild, M. (2013). Citizen science and volunteered geographic information: Overview and typology of participation. Crowdsourcing Geographic Knowledge, Springer.","DOI":"10.1007\/978-94-007-4587-2"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.apgeog.2016.09.019","article-title":"Assessing the application and value of participatory mapping for community bushfire preparation","volume":"76","author":"Haworth","year":"2016","journal-title":"Appl. Geogr."},{"key":"ref_22","first-page":"226","article-title":"Implications of volunteered geographic information for disaster management and GIScience: A more complex world of volunteered geography","volume":"108","author":"Haworth","year":"2018","journal-title":"Ann. Am. Assoc. Geogr."},{"key":"ref_23","unstructured":"Samodra, G., Chen, G., Sartohadi, J., and Kasama, K. (2015). Generating landslide inventory by participatory mapping: An example in Purwosari Area, Yogyakarta, Java. Geomorphology."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2743","DOI":"10.5194\/nhess-12-2743-2012","article-title":"A hydrological analysis of the 4 November 2011 event in Genoa","volume":"12","author":"Silvestro","year":"2012","journal-title":"Nat. Hazard Earth Syst. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.apgeog.2016.07.006","article-title":"Integrating resident digital sketch maps with expert knowledge to assess spatial knowledge of flood risk: A case study of participatory mapping in Newport Beach, California","volume":"74","author":"Cheung","year":"2016","journal-title":"Appl. Geogr."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1068\/b38151","article-title":"The prospects and problems of integrating sketch maps with geographic information systems to understand environmental perception: A case study of mapping youth fear in Los Angeles gang neighborhoods","volume":"41","author":"Curtis","year":"2014","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1068\/b26103","article-title":"Adapting GIS technology to the needs of local planning","volume":"27","author":"Ceccato","year":"2000","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1111\/j.1467-9906.2009.00450.x","article-title":"Subjective constructions of neighborhood boundaries: Lessons from a qualitative study of four neighborhoods","volume":"31","author":"Campbell","year":"2009","journal-title":"J. Urban Aff."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1080\/00045608.2011.595657","article-title":"Researching volunteered geographic information: Spatial data, geographic research, and new social practice","volume":"102","author":"Elwood","year":"2012","journal-title":"Ann. Assoc. Am. Geogr."},{"key":"ref_30","unstructured":"Felgentreff, C., and Glade, T. (2008). Naturrisiken und Sozialkatastrophen, Spektrum Akademischer Verlag."},{"key":"ref_31","unstructured":"Field Papers (2018, June 08). Field Papers. Available online: http:\/\/fieldpapers.org\/."},{"key":"ref_32","unstructured":"KoBo Toolbox (2018, June 08). Kobo Toolbox. Available online: http:\/\/www.kobotoolbox.org\/."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Mocnik, F.-B., Mobasheri, A., Griesbaum, L., Eckle, M., Jacobs, C., and Klonner, C. (2018). A grounding-based ontology of data quality measures. JOSIS, 16.","DOI":"10.5311\/JOSIS.2018.16.360"},{"key":"ref_34","unstructured":"Denzin, N.K., and Lincoln, Y.S. (1994). Case studies. Handbook of Qualitative Research, Sage."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1177\/1049732315617444","article-title":"Sample size in qualitative interview studies: Guided by information power","volume":"26","author":"Malterud","year":"2016","journal-title":"Qual. Health Res."},{"key":"ref_36","unstructured":"Punch, K.F. (1998). Introduction to Social Research: Quantitative and Qualitative Approaches, Sage. [1st ed.]."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1002\/nur.4770180211","article-title":"Sample size in qualitative research","volume":"18","author":"Sandelowski","year":"1995","journal-title":"Res. Nurs. Health"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1111\/j.1539-6924.2012.01942.x","article-title":"The risk perception paradox\u2014Implications for governance and communication of natural hazards","volume":"33","author":"Wachinger","year":"2013","journal-title":"Risk Anal."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.envsci.2016.08.002","article-title":"Using participatory geographic approaches for urban flood risk in Santiago de Chile: Insights from a governance analysis","volume":"66","author":"Klonner","year":"2016","journal-title":"Environ. Sci. Policy"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1016\/j.scitotenv.2016.05.116","article-title":"Validating alternative methodologies to estimate the regime of temporary rivers when flow data are unavailable","volume":"565","author":"Gallart","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Foody, G., See, L., Fritz, S., Mooney, P., Olteanu-Raimond, A.-M., Fonte, C.C., and Antoniou, V. (2017). Assessing VGI data quality. Mapping and the Citizen Sensor, Ubiquity Press.","DOI":"10.5334\/bbf.g"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.spasta.2012.03.002","article-title":"Assuring the quality of volunteered geographic information","volume":"1","author":"Goodchild","year":"2012","journal-title":"Spat. Stat."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1068\/b35097","article-title":"How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets","volume":"37","author":"Haklay","year":"2010","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Marana, P., Labaka, L., and Sarriegi, J.M. (2017). A framework for public-private-people partnerships in the city resilience-building process. Saf. Sci.","DOI":"10.1201\/9781351174664-148"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/7\/9\/359\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:22:13Z","timestamp":1760196133000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/7\/9\/359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,30]]},"references-count":44,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9]]}},"alternative-id":["ijgi7090359"],"URL":"https:\/\/doi.org\/10.3390\/ijgi7090359","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,30]]}}}