Visualization of Geotechnical Data for Hazard Mitigation and Disaster Response (2015) / Chapter Skim
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Pages 66-76
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67 Approximately 80% of the state geotechnical leaders and others who received the study questionnaire responded. Their responses and commentary are presented here.
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68 FIGURE C4a Hazards most frequently encountered. FIGURE C4b Hazards most detrimental to organization.
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69 2.04 If yes to question 2.03, how long is the data retained? With the exception of one respondent who stated that its geotechnical data would be kept for 50 years, the DOTs that have a centralized database for geotechnical data plan to keep the data on file permanently.
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70 than 10% use that approach as their sole data collection method. The use of manual reading methods may imply that these data are not accessible for visualization or must be manually keyed in to some system to be available (Figure C10)
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71 FIGURE C13 Remote sensing data used. air photos, LiDAR, topographic maps, and satellite images)
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72 in planning hazard mitigation, but the sample size is likely too small to distinguish differences in use by development phase. The DOTs use GDV on average in about five of the seven hazard mitigation development phases (Figure C19)
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73 improved public safety. About 40% believed that visualization improved worker safety and traffic mobility during implementation.
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74 FIGURE C24 Role of geotechnical data in disaster response. impact of GDV is less on repair implementation and public or worker safety, but, for many DOTs, is clearly important for these purposes (Figure C24)
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75 implementation, improved public safety, and quicker recovery. At least 60% of the DOT geotechnical leaders reported that visualization of geotechnical data made a contribution in these three areas (Figure C27)
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76 generally disagreed with this statement did not offer reasons why they disagreed. However, it is reasonable to speculate that those who generally disagree may consider visualization less critical than other aspects of designing and implementing geotechnical hazard mitigation measures.
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77 FIGURE C32 Geotechnical data visualization improves disaster recovery.
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