You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
EFFICIENCY AND EFFECTIVENESS APPROACHES IN SPATIAL DATA COLLECTION OF VRISA AFTER LESVOS EARTHQUAKE
Copyright policy )EFFICIENCY AND EFFECTIVENESS APPROACHES IN SPATIAL DATA COLLECTION OF VRISA AFTER LESVOS EARTHQUAKE
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.
- University of the Aegean Greece
Microsoft Academic Graph classification: Data collection business.industry Computer science Data management Topographic map Data science Task (project management) Photogrammetry Work (electrical) business Spatial analysis
Microsoft Academic Graph classification: Data collection business.industry Computer science Data management Topographic map Data science Task (project management) Photogrammetry Work (electrical) business Spatial analysis
Butler, H., Schmidt, C., Springmeyer, D., and Livni, J., 2018.
GGRS87 / Greek Grid: EPSG Projection -- Spatial Reference [WWW Document]. URL http://spatialreference.org/ref/epsg/ggrs87-greek-grid/ (accessed 2.11.18).
Chow, J., Lichti, D., and Teskey, W., 2012. Accuracy assessment of the Faro Focus3D and Leica HDS6100 panoramic type terrestrial laser scanner through point-based and plane-based user self-calibration. In: Proceedings of the FIG Working Week: Knowing to Manage the Territory, Protect the Environment, Evaluate the Cultural Heritage, Rome, Italy.
Frøkjaer, E., Hertzum, M., and Hornbaek, K., 2000. Measuring Usability: Are Effectiveness, Efficiency, and Satisfaction Really Correlated? In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '00. ACM, New York, NY, USA, pp. 345-352.
Hyväri, I., 2006. Project management effectiveness in projectoriented business organizations. International journal of project management, 24(3), pp. 216-225. [OpenAIRE]
Jeong, K.Y. and Phillips, D.T., 2001. Operational efficiency and effectiveness measurement. International Journal of Operations & Production Management, 21(11), pp. 1404-1416.
Mouzas, S., 2006. Efficiency versus effectiveness in business networks. Journal of Business Research, 59(10-11), pp. 1124- 1132. [OpenAIRE]
Sundqvist, E., Backlund, F., and Chronéer, D., 2014. What is Project Efficiency and Effectiveness? Procedia - Social and Behavioral Sciences, 119, pp. 278-287.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- University of the Aegean Greece
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.