GIS INTEGRATED SMART MEASURES FOR PRIVATE ACCOMMODATION FOR UNIVERSITY STUDENTS REFERENCE TO UNIVERSITY OF SRI JAYEWARDENEPURA
Accommodations are the basic need for university undergraduates to carry out their studies. Universities of all over the world responsible to provide accommodation within the campus or off campus to university students. According to the statistics of the Student Council of the University of Sri Jayewardenepura, about 40% of undergraduates are selected for university hostel accommodations and 60% of students must find a private accommodation. So, there can spring up a demand for student private accommodation by undergraduates. Hence, private accommodation providers are entering to the current market and automatically fulfill the demand of student accommodation. Student private accommodation can be simply defined as a room or space where the students live in or stay at there by paying a rental fee. This study mainly focuses on digitizing student private accommodation in Sri Lanka reference to the university of Sri Jayewardenepura. It attempted to develop some specific model regarding that. The objectives of the research are analyzed the nature of the existing student private accommodations, analyze the factors that affect to choose private accommodations by university students and develop a smart measure to identify student private accommodations surrounding area of the University of Sri Jayewardenepura.The primary data were collected through the google forms and questionnaires. The questionnaire and google form consisted with open ended questions, close ended questions, five-point Likert scale questions and checklists. Piolet test is done to verify the accuracy of the questionnaire. The secondary data were collected through the journal articles, reports and websites. The research was carried out by using Geographic Information Systems (GIS) software and developed a smart measure by using google my maps. 100 student private accommodations were selected as the sample within the 800m buffer zone from the University. Four sets of zones (100m, 250m, 500m and 800m) around the university was used to stratify the data. The results summarize that the nature of the existing private accommodations indicating type of occupants, type of private accommodations, type of rented rooms and other physical differences of the student private accommodations. Also, summarize that the factors that affect to choose private accommodations by university students such as location, cost, security and facilities of the accommodations. Also, the smart measure helps to find suitable private accommodation by university students.
Keywords: Student Private Accommodations, Location, Cost, Security, Smart Measure