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The proposed trip planning model processes real-time data to extract the relevant socio-economic attributes; later, it mines the most frequent as well as the feasible attributes to plan the trip. The relevance of the socio-economic constraints is defined using correlations, whereas the frequent as well as the feasible attributes are mined through the sequential pattern mining approach. Real-time travel information of about 38,303 trips was acquired from the Indian city of Hyderabad, and the proposed model was subjected to experimentation. The proposed model maintained a substantial trade-off between multiple performance metrics, though the trip mean model performed statistically.<\/jats:p>","DOI":"10.1515\/jisys-2016-0012","type":"journal-article","created":{"date-parts":[[2017,7,3]],"date-time":"2017-07-03T04:08:10Z","timestamp":1499054890000},"page":"545-559","source":"Crossref","is-referenced-by-count":1,"title":["Relevance- and Frequency-Enabled Trip Planning Model Based on Socio-economic Status"],"prefix":"10.1515","volume":"26","author":[{"given":"Anand","family":"Sesham","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering , M.V.S.R Engineering College, Nadergul , Hyderabad 501510 , India"}]},{"given":"P.","family":"Padmanabham","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering , Bapuji Institute of Engineering and Technology , Jawaharlal Nehru Technological University , Hyderabad , Telangana 500085, India"}]},{"given":"A.","family":"Govardhan","sequence":"additional","affiliation":[{"name":"School of Information Technology and Executive Council Member , Jawaharlal Nehru Technological University , Hyderabad , India"}]},{"given":"Rajesh","family":"Kulkarni","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering , JSPM, Narhe , Pune , Maharashtra 411046, India"}]}],"member":"374","published-online":{"date-parts":[[2016,8,17]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"H. 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