Volume 2, Issue 7 (7-2014)                   IUESA 2014, 2(7): 35-50 | Back to browse issues page

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Moghbel Ba’arz A, Azar A, Mirmahdi S M. Market Segmentation of Urban Public Transportation by Cluster Analysis (A case study of Tehran’s sixth residential area). IUESA. 2014; 2 (7) :35-50
URL: http://iueam.ir/article-1-76-en.html
1- Associated Professor, Department of Management Faculty of Management and Economics, Tarbiat Modarres University, Tehran, Iran
2- Professor, Department of Management Faculty of Management and Economics, Tarbiat Modarres University, Tehran, Iran
3- M.A. in Industrial Management, specialized in Operational Research Department of Management, Faculty of Management and Economics, Tarbiat Modarres University, Tehran, Iran.
Abstract:   (3743 Views)

Nowadays, use of public transportation is one of issues that is associated with different aspects of life quality. According to measures taken in our country in order to targeting the subsidies, it is necessary to work more researches in the field of transportation marketing and Recognition of passengers or customers types in this market. To develop strategies for increasing the use of urban public transportation, it's important to recognize their needs. Traveler’s segmentation helps decision makers to identify and response to them. The purpose of this research is segmenting the transportation market according to attitudinal factors. Statistical society in this research is Tehrans sixth residents that was selected 391 persons by random sampling. To analyze data we used cluster analysis. From results of the cluster analysis that done based on attitudinal factors, we recognized three segments of the market: the first section who gave much importance to productivity and beneficiaries were named, the second part who gave great importance to the comfort and welfare and comfort seekers were named and the third segment, who called time-based because the speed and timing were important for them. Also the relationship between diverse demographic variables with segments was studied and recognized that: age, education, marital status, preferring to use transport is related to clusters.

     
Type of Study: Research | Subject: Special
Received: 2013/08/14 | Accepted: 2014/05/17 | Published: 2014/09/22

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