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ORIGINAL ARTICLES
Year : 2022  |  Volume : 12  |  Issue : 4  |  Page : 411-417

Modified analytic hierarchy process site selection model for dental clinics in high-rent commercial buildings


1 Department of Prosthodontics, College of Dental Medicine, Rangsit University, Pathumthani, Thailand
2 Innovative Real Estate Development Department, Faculty of Architecture and Planning, Thammasat University, Pathumthani, Thailand
3 Design Department, Narai Property, Co. Ltd.Nonthaburi, Thailand

Correspondence Address:
Dr. Kongkoon Tochaiwat
Faculty of Architecture and Planning, Thammasat University (Rangsit Campus), Pathumthani
Thailand
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jispcd.JISPCD_89_22

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Introduction: Location is a factor that highly influences a business’s ability to carry out various activities. Site selection, therefore, must take into account all the potential benefits. A dental clinic is an enterprise that should prioritize the site selection. In Thailand, many dental clinics operate in rented commercial buildings on a long-term lease basis. Objective: The objective of this research was to create a model for selecting suitable sites for dental clinic businesses in commercial buildings in Bangkok with rental fees exceeding $750 per month. Materials and Methods: The research was conducted by collecting data from a sample group consisting of 30 participants who were owners, partners, or dentists of dental clinics located in commercial buildings in Bangkok with rental fees more than $750 per month. Data were then analyzed with descriptive statistics: namely, frequency, percentage, mean, and modified analytic hierarchy process. Results: The results revealed the ranking of the main criteria, as well as their weights, for the site selection of commercial buildings in Bangkok with rents greater than $750 per unit per month to be used as a dental clinic: transportation (39.40%), neighborhood (23.61%), facilities (19.45%), parking (12.82%), and competition (4.72%), respectively, with three most important subcriteria: namely, being on a major road (19.00%), being near an electric express train station (9.10%), and being on the secondary road (8.92%), respectively.


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