Marco Mazzarino, L. Braidotti, Maurizio Cociancich
{"title":"亚得里亚海地区港口和海运部门的大数据机遇","authors":"Marco Mazzarino, L. Braidotti, Maurizio Cociancich","doi":"10.53910/26531313-e2020803526","DOIUrl":null,"url":null,"abstract":"Big data technologies offer new opportunities for the port and maritime industry in both freight and passengers transport. In order to ensure the success of a new big data project in a specific environment, it is essential to assess the benefits and the efforts required by its implementation. The present work addresses this topic for a specific area: the Adriatic region. Several relevant stakeholders from the selected area have been inquired to assess the relevance and deployment difficulties for a set of promising big data technologies. The study provides a picture of the current state and the future outlook for the Adriatic region, being useful for local operators and a valuable example to be replicated in other contexts.","PeriodicalId":394584,"journal":{"name":"Ekistics and The New Habitat","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data opportunities for the port and maritime transport sector in the Adriatic region\",\"authors\":\"Marco Mazzarino, L. Braidotti, Maurizio Cociancich\",\"doi\":\"10.53910/26531313-e2020803526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data technologies offer new opportunities for the port and maritime industry in both freight and passengers transport. In order to ensure the success of a new big data project in a specific environment, it is essential to assess the benefits and the efforts required by its implementation. The present work addresses this topic for a specific area: the Adriatic region. Several relevant stakeholders from the selected area have been inquired to assess the relevance and deployment difficulties for a set of promising big data technologies. The study provides a picture of the current state and the future outlook for the Adriatic region, being useful for local operators and a valuable example to be replicated in other contexts.\",\"PeriodicalId\":394584,\"journal\":{\"name\":\"Ekistics and The New Habitat\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ekistics and The New Habitat\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53910/26531313-e2020803526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ekistics and The New Habitat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53910/26531313-e2020803526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Big data opportunities for the port and maritime transport sector in the Adriatic region
Big data technologies offer new opportunities for the port and maritime industry in both freight and passengers transport. In order to ensure the success of a new big data project in a specific environment, it is essential to assess the benefits and the efforts required by its implementation. The present work addresses this topic for a specific area: the Adriatic region. Several relevant stakeholders from the selected area have been inquired to assess the relevance and deployment difficulties for a set of promising big data technologies. The study provides a picture of the current state and the future outlook for the Adriatic region, being useful for local operators and a valuable example to be replicated in other contexts.