On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness
Since 2007, the World Economic Forum (WEF) has issued data on the factors and policies that contribute to the development of tourism and competitiveness across countries worldwide. While WEF compiles the yearly report out of data from governmental and private stakeholders, we seek to analyze the rep...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/10/5/301 |
| _version_ | 1797535220136673280 |
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| author | Alexander Bustamante Laura Sebastia Eva Onaindia |
| author_facet | Alexander Bustamante Laura Sebastia Eva Onaindia |
| author_sort | Alexander Bustamante |
| collection | DOAJ |
| description | Since 2007, the World Economic Forum (WEF) has issued data on the factors and policies that contribute to the development of tourism and competitiveness across countries worldwide. While WEF compiles the yearly report out of data from governmental and private stakeholders, we seek to analyze the representativeness of the open and collaborative platform OpenStreetMap (OSM) to the international tourism scene. For this study, we selected eight parameters indicative of the tourism development of each country, such as the number of beds or cultural sites, and we extracted the OSM objects representative of these indicators. Then, we performed a statistical and regression analysis of the OSM data to compare and model the data emitted by WEF with data from OSM. Our aim is to analyze the tourist representativeness of the OSM data with respect to official reports to better understand when OSM data can be used to complement the official information and, in some cases, when official information is scarce or non-existent, to assess whether the OSM information can be a substitute. Results show that OSM data provide a fairly accurate picture of official tourism statistics for most variables. We also discuss the reasons why OSM data is not so representative for some variables in some specific countries. All in all, this work represents a step towards the exploitation of open and collaborative data for tourism. |
| first_indexed | 2024-03-10T11:41:26Z |
| format | Article |
| id | doaj.art-68bd078befbe4d53b331adc6bcaa8aaf |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T11:41:26Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-68bd078befbe4d53b331adc6bcaa8aaf2023-11-21T18:27:38ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-05-0110530110.3390/ijgi10050301On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism CompetitivenessAlexander Bustamante0Laura Sebastia1Eva Onaindia2Valencia Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainValencia Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainValencia Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainSince 2007, the World Economic Forum (WEF) has issued data on the factors and policies that contribute to the development of tourism and competitiveness across countries worldwide. While WEF compiles the yearly report out of data from governmental and private stakeholders, we seek to analyze the representativeness of the open and collaborative platform OpenStreetMap (OSM) to the international tourism scene. For this study, we selected eight parameters indicative of the tourism development of each country, such as the number of beds or cultural sites, and we extracted the OSM objects representative of these indicators. Then, we performed a statistical and regression analysis of the OSM data to compare and model the data emitted by WEF with data from OSM. Our aim is to analyze the tourist representativeness of the OSM data with respect to official reports to better understand when OSM data can be used to complement the official information and, in some cases, when official information is scarce or non-existent, to assess whether the OSM information can be a substitute. Results show that OSM data provide a fairly accurate picture of official tourism statistics for most variables. We also discuss the reasons why OSM data is not so representative for some variables in some specific countries. All in all, this work represents a step towards the exploitation of open and collaborative data for tourism.https://www.mdpi.com/2220-9964/10/5/301collaborative dataopen data analysistourism competitivenesstourism statistics |
| spellingShingle | Alexander Bustamante Laura Sebastia Eva Onaindia On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness ISPRS International Journal of Geo-Information collaborative data open data analysis tourism competitiveness tourism statistics |
| title | On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness |
| title_full | On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness |
| title_fullStr | On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness |
| title_full_unstemmed | On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness |
| title_short | On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness |
| title_sort | on the representativeness of openstreetmap for the evaluation of country tourism competitiveness |
| topic | collaborative data open data analysis tourism competitiveness tourism statistics |
| url | https://www.mdpi.com/2220-9964/10/5/301 |
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