Crowdsourced Geospatial Infrastructure for Coastal Management and Planning for Emerging Post COVID-19 Tourism Demand

Efthimios Bakogiannis, Chryssy Potsiou, Konstantinos Apostolopoulos and Charalampos Kyriakidis
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Efthimios Bakogiannis: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece
Chryssy Potsiou: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece
Konstantinos Apostolopoulos: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece
Charalampos Kyriakidis: School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece

Tourism and Hospitality, 2021, vol. 2, issue 2, 1-16

Abstract: In recent years, the use of crowdsourcing has positively transformed the way geographic information is collected, stored and analyzed. Many countries have promoted and funded research into the potential of using crowdsourcing in various fields of governance. This paper focuses on developing a methodology for fast, low-cost and reliable coastal management for touristic purposes in Greece. In particular, a group of a professional surveyor have developed the methodology and trained two volunteers to collect a variety of data points of interest about a public coastal zone, such as the area size of free and unused public space, rocky areas, parking spaces (organized or not), land use types, build up and green areas, municipal lighting, pedestrian crossing points, beach umbrellas, path routes, street furniture, etc. A pilot case study was compiled for a part of the Athenian Riviera to check the methodology. Derived conclusions point out that the developed methodology may be successfully used for managing the 16,000 km length of the coastal zone of Greece for touristic purposes. Considerations for further improvements to the methodology are given.

Keywords: coastal management; tourism; crowdsourcing; VGI; Athenian Riviera; fit-for-purpose; geospatial data (search for similar items in EconPapers)
JEL-codes: Z3 Z30 Z31 Z32 Z33 Z38 (search for similar items in EconPapers)
Date: 2021
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