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  • 标题:Data Sources Analysis for Sustainable Trip Planner Development for Riga City
  • 本地全文:下载
  • 作者:Dinko Alise ; Jackiva Irina Yatskiv ; Budiloviča Evelina Budilovich
  • 期刊名称:Transport and Telecommunication Journal
  • 印刷版ISSN:1407-6160
  • 电子版ISSN:1407-6179
  • 出版年度:2021
  • 卷号:22
  • 期号:3
  • 页码:321-331
  • DOI:10.2478/ttj-2021-0025
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要:In today’s daily traveller world, not only the time and money became important, but climate change and pandemic raised the importance of safety and sustainability of future trip plans. In order to provide such a wide coverage for a variety of important information, a sustainable trip planner needs to receive a lot of data from a variety of differentiated data sources. Provided review of related works shows that a lot of started activities in this aspects gives all of us promises and hope that available Big Data sources will be wisely used in order to bring added value not only to individual travellers, but also society, the transportation services will become better structured and information will be easily available for smart and safe decision making, that gradually will increase life quality.
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