Formation of a Tool for the Prediction of the Location of Vegetable Vendors in Raipur, Chhattisgarh
Abstract
Vegetable vendors play an important role in the daily life of common people in urban India. It is often observed that the vegetable vendors locate themselves in certain places, which are suitable for both the vendors and buyers. Therefore, predicting their location is a significant factor in urban planning at a micro level, i.e., tier II cities. Thus, the current study formulates a model for the identification of the location of vegetable vendors in an Indian tier II city. In this paper, an attempt has been made to find a tool that would predict the location of vegetable vendors, taking the Indian city of Raipur (Chhattisgarh) as a case. Analytical Hierarchy Process and Logistic Regression methods are used to predict the location. The tool, thus, arrived and hence successfully predicted (with about 88% accuracy) the location of vegetable vendors of Raipur.
Keywords: analytical hierarchy process, location, logistic regression, prediction model, vegetable vendor.
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