Evaluating the impact of visualization of risk upon emergency route-planning
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Author (Corporation)
Publication date
2019
Typ of student thesis
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Collections
Type
01A - Journal article
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Parent work
International Journal of Geographical Information Science
Special issue
DOI of the original publication
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Series
Series number
Volume
34
Issue / Number
5
Pages / Duration
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Publisher / Publishing institution
Taylor & Francis
Place of publication / Event location
Edition
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Abstract
This paper reports on a controlled experiment evaluating how different cartographic representations of risk affect participants’ performance on a complex spatial decision task: route planning. The specific experimental scenario used is oriented towards emergency route-planning during flood response. The experiment compared six common abstract and metaphorical graphical symbolizations of risk. The results indicate a pattern of less-preferred graphical symbolizations associated with slower responses and lower-risk route choices. One mechanism that might explain these observed relationships would be that more complex and effortful maps promote closer attention paid by participants and lower levels of risk taking. Such user considerations have important implications for the design of maps and mapping interfaces for emergency planning and response. The data also highlights the importance of the ‘right decision, wrong outcome problem’ inherent in decision-making under uncertainty: in individual instances, more risky decisions do not always lead to worse outcomes.
Keywords
Risk, Uncertainty, Decision making, Route-planning, Visualization, Emergency and hazard, Cartography, Experiment
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Event
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ISBN
ISSN
1365-8816
1362-3087
1362-3087
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Hybrid
License
Citation
Cheong, L., Kinkeldey, C., Burfurd, I., Bleisch, S., & Duckham, M. (2019). Evaluating the impact of visualization of risk upon emergency route-planning. International Journal of Geographical Information Science, 34(5). https://doi.org/10.1080/13658816.2019.1701677