A visibility-based assessment of tsunami evacuation signs in Seaside, Oregon

Tsunami risk mitigation programs often include iconic evacuation signage to direct locals and visitors to safety during a tsunami event. This paper examines sign placement in Seaside, Oregon, from a visibility perspective. It leverages existing visibility analysis methodologies characterize the visibility of the community’s evacuation signage and reveals patterns in the viewable landscape. Additionally, we develop a topologically 3D approach to visibility analysis using raw LiDAR datasets. This applied work situates a discussion on existing patterns of visibility, how to improve existing signage placement, 2D and 3D representation of landscape, and the importance of visibility analysis. This work aims to stimulate discussion and development of hazard research that incorporates a visibility perspective.

[1]  Denis J. Dean,et al.  AN ACCURACY ASSESSMENT OF VARIOUS GIS-BASED VIEWSHED DELINEATION TECHNIQUES , 2001 .

[2]  Eleftheria Paliou,et al.  THE COMMUNICATIVE POTENTIAL OF THERAN MURALS IN LATE BRONZE AGE AKROTIRI: APPLYING VIEWSHED ANALYSIS IN 3D TOWNSCAPES , 2011 .

[3]  Won-Hwa Hong,et al.  Evacuation performance of individuals in different visibility conditions , 2011 .

[5]  Alan Penn,et al.  Encoding Natural Movement as an Agent-Based System: An Investigation into Human Pedestrian Behaviour in the Built Environment , 2002 .

[6]  E. Geist,et al.  Seaside, Oregon, tsunami pilot study-modernization of FEMA flood hazard maps: GIS data , 2006 .

[7]  Alan W. Johnston,et al.  VISIBILITY OF ALPHABETIC AND SYMBOLIC TRAFFIC SIGNS. , 1975 .

[8]  H. Jol,et al.  Paleotsunami Inundation of a Beach Ridge Plain: Cobble Ridge Overtopping and Interridge Valley Flooding in Seaside, Oregon, USA , 2010 .

[9]  B. L. Collins.  Visibility of Exit Signs and Directional Indicators , 1991 .

[10]  Maciej J. Kurowski,et al.  An assessment of educational tsunami evacuation map designs in Washington and Oregon , 2011 .

[11]  L. T. Wong,et al.  Experimental study on visibility of exit signs in buildings , 2007 .

[12]  Stefan Dech,et al.  "Last-Mile" preparation for a potential disaster - Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia , 2009 .

[13]  John J. Clague,et al.  Tsunami Hazard and Risk in Canada , 2003 .

[14]  B. Rittichainuwat,et al.  Tourists’ Perceived Risks Toward Overt Safety Measures , 2013 .

[15]  Ian D. Bishop,et al.  Assessment of Visual Qualities, Impacts, and Behaviours, in the Landscape, by Using Measures of Visibility , 2003 .

[16]  Fumihiko Imamura,et al.  Agent-based Simulation of the 2011 Great East Japan Earthquake/Tsunami Evacuation: An Integrated Model of Tsunami Inundation and Evacuation , 2012 .

[17]  Ruth Dalton,et al.  OmniVista:an application for isovist field and path analysis , 2001 .

[18]  Jürgen Döllner,et al.  Increasing the usability of pedestrian navigation interfaces by means of landmark visibility analysis , 2013 .

[19]  David Joachim,et al.  Last mile , 2003 .

[20]  Denis J. Dean.  Improving the accuracy of forest viewsheds using triangulated networks and the visual permeability method , 1997 .

[21]  G Johansson,et al.  Drivers and road signs. , 1970, Ergonomics.

[22]  M. Llobera,et al.  Extending GIS-based visual analysis: the concept of visualscapes , 2003, Int. J. Geogr. Inf. Sci..

[23]  Nguyen Ngoc Anh,et al.  Optimizing Sign Placements for Crowd Evacuation on Road Network in Case of Tsunami Alert , 2012 .

[24]  Daniel T. Cox,et al.  Application of fragility curves to estimate building damage and economic loss at a community scale: a case study of Seaside, Oregon , 2014, Natural Hazards.

[25]  Ian D. Bishop,et al.  Using Image Depth Variables as Predictors of Visual Quality , 2000 .

[26]  Christoph Aubrecht,et al.  Spatio-Temporal Population Distribution and Evacuation Modeling for Improving Tsunami Risk Assessment in the Lisbon Metropolitan Area , 2011 .

[27]  Lin Li,et al.  Pedestrian simulation and distribution in urban space based on visibility analysis and agent simulation , 2009, Other Conferences.

[28]  Marcos Llobera,et al.  Modeling visibility through vegetation , 2007, Int. J. Geogr. Inf. Sci..

[29]  B. Obama,et al.  Office of the Press Secretary , 2009 .

[30]  Peter L. Guth.  INCORPORATING VEGETATION IN VIEWSHED AND LINE-OF-SIGHT ALGORITHMS , 2009 .

[31]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[32]  A. Miyake,et al.  The Cambridge Handbook of Visuospatial Thinking , 2005 .

[33]  Ioan Nistor,et al.  Tsunami risk for Western Canada and numerical modelling of the Cascadia fault tsunami , 2011, Natural Hazards.

[34]  Yerach Doytsher,et al.  Fast Visibility Analysis in 3D Mass Modeling Environments and Approximated Visibility Analysis Concept Using Point Clouds Data , 2013 .

[35]  Bige Tunçer,et al.  Visibility Analysis for 3D Urban Environments , 2013 .

[36]  Jeffrey R. Johnson,et al.  Probabilistic Tsunami Hazard Assessment at Seaside, Oregon, for Near- and Far-Field Seismic Sources , 2009 .