Exploratory spatial data analysis of pedestrian crashes in Bangkok | |
| Author | Kamonphan Inkham |
| Call Number | AIT Thesis no.TE-22-01 |
| Subject(s) | Pedestrian accidents--Data processing--Thailand--Bangkok Walking--Data processing--Thailand--Bangkok |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Pedestrian accidents are a top priority in transportation planning as cities promote sustainable transportation, alternative travel modes, and healthy lifestyles. If people feel unsafe while walking, they will switch to other modes of transportation. To prioritize safety, it is important to know where pedestrian accidents are occurring and what factors are causing them. This paper presents a spatial analysis by separating into 2 levels which are macroscopic and microscopic during the period 2014 – 2017. First, this study investigates the macroscopic by using spatial statistical methods, including the nearest neighbor index, Global Moran’s I, and Getis-Ord G Statistic. The aim is to analyze the pedestrian crash locations within the state of Bangkok, Thailand, to identify the hot spots, cold spots, and spatial distribution patterns across sub-districts. For microscopic level, the study investigates the highest pedestrian crash locations to observe the factors that cause the pedestrian accidents by using Binomial logistic regression. Spatial analysis methods such as Global Moran's I and kernel density estimation (KDE) are used to analyze hot spots, cold spots, and spatial distribution patterns within the observation area. |
| Year | 2023 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Kunnawee Kanitpong |
| Examination Committee(s) | Ampol Karoonsoontawong;Santoso, Djoen San |
| Scholarship Donor(s) | Royal Thai Government Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2023 |