{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T21:03:36Z","timestamp":1771016616038,"version":"3.50.1"},"reference-count":16,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2008,2,28]],"date-time":"2008-02-28T00:00:00Z","timestamp":1204156800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information Visualization"],"published-print":{"date-parts":[[2008,3]]},"abstract":"<jats:p> Application of the ideas of visual analytics is a promising approach to supporting decision making, in particular, where the problems have geographic (or spatial) and temporal aspects. Visual analytics may be especially helpful in time-critical applications, which pose hard challenges to decision support. We have designed a suite of tools to support transportation-planning tasks such as emergency evacuation of people from a disaster-affected area. The suite combines a tool for automated scheduling based on a genetic algorithm with visual analytics techniques allowing the user to evaluate tool results and direct its work. A transportation schedule, which is generated by the tool, is a complex construct involving geographical space, time, and heterogeneous objects (people and vehicles) with states and positions varying in time. We apply task-analytical approach to design techniques that could effectively support a human planner in the analysis of this complex information. <\/jats:p>","DOI":"10.1057\/palgrave.ivs.9500174","type":"journal-article","created":{"date-parts":[[2008,2,28]],"date-time":"2008-02-28T05:48:43Z","timestamp":1204177723000},"page":"89-103","source":"Crossref","is-referenced-by-count":9,"title":["Visual Analytics Approach to User-Controlled Evacuation Scheduling"],"prefix":"10.1177","volume":"7","author":[{"given":"Gennady","family":"Andrienko","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, Sankt Augustin, Germany"}]},{"given":"Natalia","family":"Andrienko","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, Sankt Augustin, Germany"}]},{"given":"Ulrich","family":"Bartling","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, Sankt Augustin, Germany"}]}],"member":"179","published-online":{"date-parts":[[2008,2,28]]},"reference":[{"key":"bibr1-palgrave.ivs.9500174","doi-asserted-by":"publisher","DOI":"10.1080\/13658810701349011"},{"key":"bibr2-palgrave.ivs.9500174","volume-title":"Vehicle Routing: Methods and Studies (Studies in Management Science and Systems, Volume 16)","author":"Golden BL","year":"1988"},{"key":"bibr3-palgrave.ivs.9500174","doi-asserted-by":"publisher","DOI":"10.1007\/b101880"},{"key":"bibr4-palgrave.ivs.9500174","volume-title":"Genetic Algorithms in Search, Optimization, and Machine Learning","author":"Goldberg DE","year":"1989"},{"key":"bibr5-palgrave.ivs.9500174","unstructured":"Bartling U, M\u00fchlenbein H. Optimization of large scale parcel distribution systems by the Breeder Genetic Algorithm (BGA). In: B\u00e4ck T (Ed). Proceedings of the 7th International Conference on Genetic Algorithms (Michigan State University, East Lansing, MI) San Francisco: Morgan Kaufman, 1997; 473\u2013480."},{"key":"bibr6-palgrave.ivs.9500174","doi-asserted-by":"publisher","DOI":"10.1108\/09600030510607346"},{"key":"bibr7-palgrave.ivs.9500174","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9236(02)00193-8"},{"key":"bibr8-palgrave.ivs.9500174","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2005.23"},{"key":"bibr9-palgrave.ivs.9500174","unstructured":"ILOG Transport PowerOps. Available at URL: http:\/\/www.ilog.com\/products\/transportpowerops\/, last accessed: 20 March 2007."},{"key":"bibr10-palgrave.ivs.9500174","unstructured":"TurboRouter Software. Schedule visualization, available at URL: http:\/\/www.marintek.sintef.no\/TurboRouter\/visualisations.htm, last accessed: 20 March 2007."},{"key":"bibr11-palgrave.ivs.9500174","doi-asserted-by":"publisher","DOI":"10.1109\/HUICS.1996.549517"},{"key":"bibr12-palgrave.ivs.9500174","volume-title":"Envisioning Information","author":"Tufte ER","year":"1990"},{"key":"bibr13-palgrave.ivs.9500174","doi-asserted-by":"crossref","unstructured":"Fredrikson A, North C, Plaisant C, Shneiderman B. Temporal geographic and categorical aggregations viewed through coordinated displays: A case study with highway incident data. Proceedings of Workshop on New Paradigms in Information Visualization and Manipulation (NPIVM1999) (Kansas City, MO) ACM Press: New York, 1999; 26\u201334.","DOI":"10.1145\/331770.331780"},{"key":"bibr14-palgrave.ivs.9500174","unstructured":"Keim DA. Scaling visual analytics to very large data sets. 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