Abstract
Abstract. Efficient and effective spatial data collection is crucial in cases of catastrophic events. Resources efficiency and project effectiveness are two aspects that need special attention especially when there are spatial and temporal constraints. There is limited literature regarding efficiency and effectiveness in spatial data collection approaches. This work elaborates on the collection of spatially-aware data from a diverse scientific group of teams after the catastrophic earthquake of Mw = 6.3 in Vrisa village, Lesvos island in Greece in June 2017. More specific we deal with challenges faced by six teams of experts (Topographic team, House conditions data collection team, Unmanned Aerial Vehicle team, 3D Laser Scanner team, Photogrammetry team and Privacy team). The scientific teams had to collect accurate spatial data for the same area, during a period of 20 days after the earthquake. That was a challenging task due to restrictions in the area and complexity/diversity of spatial data. We present the methodological approaches followed for efficient and effective data-capturing, and we propose a framework of team/data management under concurrent data collection by scientific teams after catastrophic events such as earthquakes.
Highlights
Natural hazards such as earthquakes can have an enormous effect on populated places regarding both life-threating conditions and socio-economic impact
In the context of this work, efficiency is conceptualized as the relationship between capital used for the Vrisa Project over the value of the scientific results produced by the team
Vrisa project effectiveness can be conceptualized as the capability of the team to achieve the desired outcome and produce the intended deliverables
Summary
Natural hazards such as earthquakes can have an enormous effect on populated places regarding both life-threating conditions and socio-economic impact. That may be a challenging task, especially when considering possible aftershocks, dangerous semi-collapsed structures and time-consuming tasks such as data validation. Jeong and Phillips (2001), presented a methodology for measuring overall equipment effectiveness based on 'product unit analysis' and 'state analysis' approaches, indicating that measuring efficiency and effectiveness may include very complex approaches of identifying outputs value (efficiency) and targeting optimization (effectiveness). Another notable work regarding efficiency and effectiveness is one of Mouzas (2006) which deals with the balancing act between these two terms in the context of business management. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W4, 2018 GeoInformation For Disaster Management (Gi4DM), 18–21 March 2018, Istanbul, Turkey undertaken by each of the six teams we illustrate efficiency and effectiveness characteristics of the work undertaken
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