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Geographic maps visually represent physical distance between locations. These maps sometimes provide a false impression of travel times. Two cities geographically close to each other might be \u201cfar apart\u201d in terms of travel time because of slower connections, whereas two cities geographically distant might be \u201cnearby\u201d in terms of travel time because of faster connections. Under such circumstances, visualizing a transport network using time as a distance measure can make the transport network more understandable. This study integrates several (carto)graphic representations\u2014a time line, a distance line, a time prism, a time cartogram, and a geographic map\u2014in an interactive linked-views environment to model reachability in transport networks. A prototype is implemented in a web environment using D3.js. The implementation can be applied to any transport network. In this research, the approach is illustrated with railroad network data for the Dutch province of Overijssel. The solution provides an alternative and insightful perspective for analyzing the data. In addition to complementing a wide variety of methods to visualizing travel times, the approach could be applied in areas such as spatial analysis and transport planning.<\/jats:p>","DOI":"10.1155\/2021\/8813163","type":"journal-article","created":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T04:14:34Z","timestamp":1612844074000},"page":"1-14","source":"Crossref","is-referenced-by-count":0,"title":["Modelling Reachability in Transport Networks: Using Alternative Visual Representations in Interactive Linked\u2010Views to Gain Valuable Insights"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4889-7115","authenticated-orcid":true,"given":"Rehmat","family":"Ullah","sequence":"first","affiliation":[{"name":"Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laiq","family":"Hasan","sequence":"additional","affiliation":[{"name":"Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farman","family":"Ullah","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajmal","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9427-4229","authenticated-orcid":true,"given":"You-Ze","family":"Cho","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-37583-5","volume-title":"Visual Analytics of Movement","author":"G. 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