Abstract:
The locational siting of fuel stations plays a crucial role in ensuring efficient and accessible fuel distribution networks while considering various factors. This thesis presents a comprehensive analysis of the locational siting process for fuel stations, aiming to identify the optimal placement strategies to meet the evolving needs of the transportation sector. The study begins by reviewing the existing literature on fuel station siting, examining the key factors that influence the decision-making process. The research then delves into data collection methodologies. Furthermore, various data analysis techniques are employed to process and analyse the gathered data. Using this comprehensive dataset, the thesis proposes a multi-criteria decision-making framework for evaluating potential fuel station locations. The framework encompasses quantitative factors, including proximity to major highway intersections, Peak hour volume, Average traffic volume and Lane width of adjoining road, Service capacity, Competitors in the surrounding area, Distance from the nearest fuel station, Traffic speed, Plot area available for fuel station and additional facilities provided. To validate the proposed framework, a case study is conducted in Pondicherry and Cuddalore district. The study applies the framework to assess potential fuel station sites with existing fuel station locations in the region. The study employs a data-driven approach, utilizing historical fuel consumption data other relevant variables to create a fuel demand estimation model. By analysing and integrating these factors, the model aims to accurately forecast the potential fuel demand at a particular location. The research findings contribute to the existing body of knowledge by offering a systematic approach to fuel station siting, considering multiple factors, and providing decision-makers with a robust tool to guide their choices. Moreover, the study provides insights into the challenges and opportunities associated with the locational siting of fuel stations, paving the way for future research, policy development and stakeholder benefits in this field.
