Data Mining Based Study to Analyze Passenger Transportation in Uva Province

Abstract

Passenger transportation methods are a very important factor for sustainable development and sustainable supply chain management. According to the pandemic situation and to employ well established economic and social based development within the Uva Province, there is a need of identifying any data patterns, uncovered information, and obtaining other valuable information. The primary objective of this research is to uncover patterns, correlations, and trends that influence transportation operations. According to the several studies, data mining techniques were used for data analysis, pattern identification and decision making. Hence, this research analyses road passenger transportation within the Uva Province in Sri Lanka using data mining techniques. The dataset of 26,100 entries, managed by the Passenger Transport Service Authority of Uva Province from 1976 - 2022, was collected and explored to uncover patterns, correlations, and trends that influence transportation operations. This analysis reveals several significant findings. The findings contribute to evidence-based recommendations aligned with current transportation trends and market conditions. This paper underscores the significance of data mining in transforming raw data into actionable insights that facilitate informed decision-making in the transportation sector.