Spatial Distribution of Drunk Driving Cases in Nakhon Pathom Province


  • Wichittra Phlicharoenphon Department of Forensic Science and Criminal Justice, Faculty of Science, Silpakorn University, Nakhon Pathom 73000, Thailand
  • Ornprapa Pummakarnchana Robert Department of Environment Science, Faculty of Science, Silpakorn University, Nakhon Pathom 73000, Thailand


Drunk driving, Getis Ord Gi*, Latent dirichlet allocation, Moran’s I spatial autocorrelation, Sentiment analysis, Standard deviational ellipse


This research study utilized Geostatistics to examine the spatial data on drunk driving incidents in Muang Nakhon Pathom from 2013 to 2017. The study collected data on 685 drunk driving cases and 1,096 Facebook statuses geotagged to entertainment venues. This study aimed to investigate the pattern of drunk driving incidents, analyze hot spots, study the directional distribution of drunk driving cases, and explore the relationship between drunk driving cases and social aspects. The findings revealed that the drunk driving cases were clustered, with the highest number of cases occurring in Sanam Chan sub-district, where alcohol stores and entertainment venues are located. The cases were mostly directed towards the eastern part of Nakhon Pathom, and the study found a positive correlation between drunk driving and geotagged statuses with statistical significance as p-value = 0.05. The outcomes of this research can be used to inform policy-making and decisions related to public posts about drinking-related activities.


Department of Disease Control. (2019). Alcoholic Beverage Control Act B.E. 2551 (A.D., 2008). Available from:

Jaikla K. (2021). The monitoring of alcohol marketing, trend, and patterns on the Internet using artificial intelligence: Phase 1. Available from:

Marketing ops. (2019). Get Insight on “Digital” Uses Around the World 2019 "Thai people" use the internet 9 hours a day - mobile phones have 99 applications!!. Available from: https:/-/

Numak S, Sodanin M. (2016). Development of Query Expansion System using Topic Model. Retrieved from

Pankeaw. (2010). Crime analysis by geographic information system. Available from:

Purada, J. (2018). Measuring The Content Completeness of Tourism Websites Using Text Mining Techniques. Available from:

Ristea A, Kurland J, Resch B, Leitner M, Langford C. Estimating the Spatial Distribution of Crime Events around a Football Stadium from Georeferenced Tweets. Journal of Geo-Information. 2018;43(7):1-25.

Saelim S, Moopayak K, Suwonnaroop N. Factors Related to Alcohol Drinking Behavior of Adolescents. Songklanagarind Journal of Nursing. 2017:37(3):25-36.

Srithamring T. Crime Risk Area Assessment based Geo-Spatial Statics. Available from: th/xmlui/handle/123456789/20686?attempt=2&.

ThaiHealth Promotion Foundation. (2014). Effects of alcohol product placement on message interpretation process, elaboration likelihood, and decision to drink of Thai adolescents. Available from:

Thongploy P, Laohakiat S. (2020). The analysis of Thai Language on Pregnancy Problems Domain: Using Latent Dirichlet Allocation For Topic Modeling. Available from:

Tunneekul P, Pattarakul A. Management of the Prevention and Suppression of Crimes Relating to Entertainment Spots. Silpakorn University Journal. 2017;37(3): 1-20.

Wongpanya N, Witchuvanit W. The Application of Geographic Information System for Density Analysis of Car Robbery in Nakhon Pathom Province. Graduate School of Suan Dusit Journal. 2017;13(3):31-45.

World Health Organization. (2020). Alcohol-consumption-by-country. Available from: https://worldpopula

World Health Organization. (2022). Reducing the harm from alcohol – by regulating cross-border alcohol marketing, advertising, and promotion: a technical report. Available from:

Yiampisan M, Srivanit M. Using the Kernel Density Estimation Surface for Criminal Pattern: A Case Study in Phranakhon District, Bangkok. Journal of Architectural/Planning Research and Studies. 2010;7(1):87-102.




How to Cite

Wichittra Phlicharoenphon, & Ornprapa Pummakarnchana Robert. (2024). Spatial Distribution of Drunk Driving Cases in Nakhon Pathom Province. Science & Technology Asia, 29(1), 47–56. Retrieved from



Physical sciences