{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T15:50:16Z","timestamp":1648569016764},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,14]]},"abstract":"<jats:p>Dynamic routing with combinations of mobility and activity is expected as new methodology for supporting sensitivity to various contexts for traveling. It is important to realize the dynamics by integrating \u201cmobility and activity\u201d in physical and cyber spaces. This paper presents a mobility and activity integration system for making routing plans from an original point to a destination with a scenario as \u201csensitivity to context\u201d on the route. The \u201csensitivity to context\u201d expresses reactions to the intentions and situations of a moving user. This system applies semantic computing to find out the appropriate mobility and activity, that dynamically calculates semantic associations between user\u2019s intentions and mobility services. This system makes a moving plan reflecting \u201csensitivity to context\u201d created by query creation operators for synthesizing and expressing \u201ceveryday intention\u201d and \u201cmobility situation.\u201d This system has a distance calculation function for \u201cfeature value vectors\u201d expressing the means of mobility and the features of facility spots, and outputs some expected means of moving towards the destination with activities on the route.<\/jats:p>","DOI":"10.3233\/faia210493","type":"book-chapter","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:43:56Z","timestamp":1642434236000},"source":"Crossref","is-referenced-by-count":0,"title":["A Mobility and Activity Integration System Supporting Sensitivity to Contexts in Dynamic Routing \u2013 Emotional MaaS \u2013"],"prefix":"10.3233","author":[{"given":"Koichiro","family":"Kawashima","sequence":"first","affiliation":[{"name":"JR East R&D Center Frontier Service Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasuhiro","family":"Hayashi","sequence":"additional","affiliation":[{"name":"Graduate School of Media and Governance, Keio University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasushi","family":"Kiyoki","sequence":"additional","affiliation":[{"name":"Graduate School of Media and Governance, Keio University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuya","family":"Mita","sequence":"additional","affiliation":[{"name":"JR East R&D Center Frontier Service Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXIII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210493","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:43:57Z","timestamp":1642434237000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210493"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210493","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,14]]}}}