Abstract
In recent decades, Malaysia's growth has been largely driven by oil and gas production. There is a clear objective behind this study, which is to integrate spatial analysis as an essential method of identifying the location and distribution of a petrol station using GIS software. Five oil companies, namely Petronas, Caltex, Shell, Petron, and BHPetrol, were invested in Malaysia. This study employs Kernel Density Estimation (KDE) for spatial analysis, Local Moran's I, and Getis-Ord Gi for statistical analysis. The results of the study indicate that high-high clusters and densities can be found in Kuala Lumpur, Seri Kembangan, Petaling Jaya, Shah Alam, and Klang. The Getis Ord Gi statistic has 9.8 % of total boundaries. There is a high concentration of petrol stations in the middle of the city. This is because the goal is to encourage them to use it easily to improve their business performance. This study found that the factors considered to be the most significant factors varied from one station to the next based on the results of this study. This is in agreement with the analysis that was conducted as a result of this study.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Business and Social Science Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
