Sajjakaj Jomnonkwao

Suranaree University of Technology | sut · School of Transportation Engineering

Statistical data indicate that trucks are more prone to rear-end crashes, making this an area of concern. The objective of this study is to create a model that analyzes the factors influencing the frequency of rear-end crashes involving trucks (TIRC). To achieve this, researchers identified the most appropriate model as Spatial Zero-Inflated Negati...

In developing nations, motorcycles are a ubiquitous mode of transportation on local road networks, contributing to a substantial frequency of traffic accidents and fatalities. These occurrences exhibit significant discrepancies between urban and rural road environments. Specifically, urban roads exhibit greater traffic density and more robust law e...

Introduction: This research aims to identify and understand the risk factors associated with injury severities in accidents occurring at highway–rail grade crossings in the context of the developing country, Thailand. Method: The mixed logit model was employed by analyzing crash data over 10 years, from 2012 to 2022. Results: The analysis revealed...

The COVID-19 pandemic has significantly disrupted railway transportation in developing countries, resulting in reduced passenger demand and economic activity. As a result of the pandemic effect, there is an increased focus on health and safety among potential passengers. To address this issue, the present study aimed to investigate the fundamental...

Accidents pose significant obstacles to economic progress and quality of life, especially in developing countries. Thailand faces such challenges and this research seeks to assess the frequency and most common causes of road accidents that lead to fatalities. This study employed the Apriori algorithm to examine the interrelationships among factors...

Among several approaches to analyzing crash research, the use of machine learning and econometric analysis has found potential in the analysis. This study aims to empirically examine factors influencing the single-vehicle crash for personal cars and trucks using decision trees (DT) and mixed binary logit with heterogeneity in means and variances (R...

Tourism is the primary source of income for many countries, particularly developing ones. However, due to the impact of the 2019 Coronavirus epidemic, the tourism sector has been significantly affected. This study aims to identify factors that influence motivation and travel frequency. Two scenarios were compared: during COVID-19 and post-COVID-19....

Upon detecting a crash impact, the vehicle restraint system locks the driver in place. However, external factors such as speeding, crash mechanisms, roadway attributes, vehicle type, and the surrounding environment typically contribute to the driver being jostled within the vehicle. As a result, it is crucial to model unrestrained and restrained dr...

Objectives: The paper aims to examine the interdependent relationship between the usage of the seatbelt restraint system and severities of the driver-injury in single-vehicle crashes. Methods: This paper developed a comprehensive joint econometric structure - a joint random parameters binary probit-binary probit model - that allows for the simul...

This study focused on pre-flood measures to estimate evacuation times impacted by flood depths and identify alternate routes to reduce loss of life and manage evacuation measures during flood disasters. Evacuation measures, including traffic characteristics, were reviewed according to different flood depths. Several scenarios were constructed for d...

The purpose of this paper was to test the differences in attitudes influencing motorcyclists' behavioural expressions of motorcycle lane use as classified by demographic data and attitude factors from an application of the Theory of Planned Behaviour (TPB) comprised of four factors: Attitude toward use, Subjective norms, perceived behavior control,...

Using motorcycle crash data from 2016 to 2019, this paper aims to uncover and compare the risk factors that influence the severity of motorcyclist injuries sustained in daytime and nighttime motorcycle crashes in Thailand. Mixed-ordered probit models with means and variances in heterogeneity were used to take into consideration unobserved heterogen...

Motorcycle accidents can impede sustainable development due to the high fatality rate associated with motorcycle riders, particularly in developing countries. Although there has been extensive research conducted on motorcycle accidents on highways, there is a limited understanding of the factors contributing to accidents involving the most commonly...

In developing countries, there are no laws to enforce child safety seat use, so there is still a very low rate of use. This study aimed to understand parents’ attitudes toward CRS use based on the health belief model (HBM) theory. To find realistic policies encouraging the use of CRSs, the model was split into two sub-models: a group of parents usi...

This study aims to identify the factors that influence the severity of motorcycle crashes on local roads, particularly given the high speeds often observed for motorcycles on these roads with low traffic volumes and numerous multi-leg intersections. Previous research has shown that a rider’s age can impact their speed behavior. To explore this issu...

Road safety funding and management have become important issues in improving the quality of life of road users and there is evidence of a difference in driving behavior and the factor of road use between urban and rural areas, which is, in turn, reflected in different road safety evaluations. The purpose of this study is to assess the financial los...

The aims of this research are: to investigate and develop a multilevel analysis of unsafe actions or risky behaviors; to study the influence of road safety policy factors on risky behaviors; and to analyze personal characteristics that influence risky behaviors. Data were collected using 1,474 samples from locations countrywide at the district leve...

The risk of accidents is a danger in public transport that could lead to threats to property, the environment, and the lives and health of people. In particular, parents are keenly aware of and concerned about the safety of school trips. Thus, this study aims to examine the factors that influence the perceptions of parents about the safety of the s...

Increasingly more studies have implemented random regret minimization (RRM) as an alternative to random utility maximization (RUM) for modeling travelers' choice-making behaviors. While for RUM, the focus is on utility maximization, for RRM the emphasis is on the regret of not selecting the best alternative. This study presented RRM and RUM for mod...

Property damage and loss from road traffic accidents are a major concern in developing countries; thus, studies on accident damage in such countries may include more latent factors. This study aims to examine the effect of psychological perspectives and sociodemographic status on drivers’ willingness-to-pay (WTP) for road accident risk reduction, u...

This paper examines the differences between weekday, weekend, and holiday crashes on the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from 2016-2019. While also considering the temporal stability assessment of significant factors, this study adopted a random parameters logit model with possible heterogeneity in...

Due to the COVID-19 epidemic, ordering food online has become very popular. This study used a structural equation model to analyze the indicators that influence the decision to order food through a food-delivery platform. The theory of planned behavior and the technology acceptance model were both used, along with a new factor, the task–technology...

In Thailand, the motorcyclist mortality rate is steadily on the rise and remains a serious concern for highway administrators and burden on both economic and local people. Using motorcycle-crash data in Thailand from 2016 to 2019, this study empirically employed and compared the Artificial Neural Networks (ANN) model and random parameters binary pr...

This paper aims to investigate the differences between temporal stability of factors influencing driver-injury severities in crashes involving speeding and non-speeding driving using a six-year (2012-2017) crash data in Thailand. With two possible driver injury severity outcomes (no/minor and severe/fatal), random parameter binary logit models, tha...

Industrial waste disposal is conducted by coprocessing in the cement kiln. This process can save resources and dispose of industrial waste in a way that is beneficial to the environment by using renewable energy and being a viable alternative to the cement industry in several countries. Nowadays, there is competition among industrial waste processo...

This research investigates the possibility of using high-density polyethylene (HDPE) plastic waste to improve the properties of asphalt concrete pavement. HDPE plastic waste contents of 1, 3, 5, and 7% by aggregate weight were used. HDPE plastic waste=stabilized asphalt concrete pavement (HDPE-ACP) was evaluated by performance testing for stability...

Industrial waste disposal in a cement kiln is an operation that includes waste disposal as well as the conversion of waste into renewable energy, which is a cement industry in many countries. This research studied business factors related to the intention to use co-processing industrial waste disposal service in cement kilns by surveying the data w...

The quality of service plays an important role in the tourism industry; moreover, it is a crucial issue that encourages competition potential to attract tourists. This study develops a measurement model of the service quality perception of tourism supply chains in Thailand using exploratory factor analysis and second-order confirmatory factor analy...

Falls in older adults have become a serious problem and a major cause of home injuries and even deaths. The increasing number of older people that will enter the "older adults" category in a few years' time calls for an effective plan to mitigate the risk factors to falling. This article reported on our study of the relationship between living envi...

Thailand was classified as a middle-income country and ranked second highest in terms of road traffic fatality rate in the world in 2015. By 2018, this ranking went up to ninth in world which may be because of various earnest safety policies implementation, supporting road safety research and establishing a road safety directing center. However, cr...

Thailand ranks near the top for the road accident fatality rate worldwide, and more and more vehicles are being registered in Thailand every year. Obtaining the opinions of road commuters may help us reduce road accidents in Thailand. This study seeks to understand damage value in road accidents for personal car drivers in Thailand, using the willi...

In recent years, organizations in the tourism and service industries have fiercely competed to attract tourists and to gain market share and profit. It is challenging for entrepreneurs and the government sector to improve service quality and guidelines for marketing strategies in accordance with the current situation to encourage tourists to revisi...

Airline companies are being driven by competition to improve their service quality and marketing strategies; moreover, these factors are vital for developing a competitive advantage over other service providers. The present study investigated the structural correlation factors for a behavioral loyalty model of domestic airline passengers related to...

In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist deaths. This study uses a correlated random parameters ordered probit model with heterogeneity in means (CRPOPHM) to obtain insight into differences in the significant factors determining the severity of motorcyclist injury between motorcycle crashes in urban a...

Currently, research on the development of crash models in terms of crash frequency on road segments and crash severity applies the principles of spatial analysis and heterogeneity due to the methods’ suitability compared with traditional models. This study focuses on crash severity and frequency in Thailand. Moreover, this study aims to understand...

The purpose of this article is to promote the process of public participation in road safety planning of motorcycle rentals for foreign tourists. Questionnaires were conducted on target group, it has a Cronbach’s alpha of 0.932. The target group consists of three groups: foreign tourists (400 people), government sector (50 people) and private sec...

This study focuses on the safety management in motorcycles rental through the development of road safety applications. The study area is Mueang district, Chiang Mai Province, which is a bustling area of tourism activities for both Thais and foreigners. Based on 500 questionnaires from a total of three sample groups consisting of foreign tourists, g...

The aviation industry has grown rapidly worldwide and is struggling against intense competition. Especially in Thailand, the compound annual growth rate of passengers traveling by air has increased continuously over the past decade. Unfortunately, during the past two years, the ongoing COVID-19 pandemic has caused severe economic crises for nearly...

Undoubtedly, single-vehicle crashes remain a major concern for roadway users and highway administrators, especially in low- and middle-income developing countries, where accident death rates remain extremely high. This study investigated the temporal instability of contributing factors of driver-injury severities in single-vehicle crashes using dat...

The research investigates the relationships among indicators related to the loyalty of urban railways passenger in Thailand at three routes, which consisted of BTS Sky train, MRT, and Airport Rail Link. The research instrument was 600 questionnaires, and the purpose was to study the indicators that affected perceived service quality and passenger l...

Thailand is a leading country in terms of road crash statistics in the World Health Organization South-East Asia region. Several factors have been identified in relation to such crashes, including humans, vehicles, and the environment, of which the human factor constitutes the largest ratio (90%–95%). This study aims to create a measurement model o...

Most of the previous single-vehicle crash analysis studies ignored the effect of road-segments level at higher plan that could probably be unobserved heterogeneity and vary among crash-level factor from one road-segment to next and possibly could lead to a potential biased estimated result. This study developed a hierarchical binary logit model whi...

Road accidents are caused by humans, vehicles, and road environments. Human attitudes affect behavioral changes and can lead to unsafe riding behavior. The sex of an individual is a key factor that affects their riding behavior. We aimed to use structural equation modeling (SEM) by analyzing the multi-group SEM between men and women and applying th...

The Thai aviation industry is projected to maintain steady growth due to an increase in flights and passengers, which will be supported by expanded air transport infrastructure. Along with handling the logistical demands imposed by increased traffic, airports must improve their quality of services, efficiency, and attentiveness to passengers’ needs...

Due to the rapid increase in population and the change in age structure toward the elderly, the phenomenon of societal ageing is being witnessed in many countries. The elderly travel less than the adult population due to decreasing mobility with an increasing age. In this study, we aimed to analyze the expectations and satisfaction of public transp...

The motorcycle is one of the important modes of transport for Thai people in all provinces due to its convenience and ability to access all areas and cover short distances, which is especially convenient for rural people. However, according to the accident record, it was found that the motorcycle was the vehicle causing the highest amount of accide...

Single-Vehicle Run Off Road (ROR) crash has been the leading crash type in terms of frequency and severity in Thailand. In this study, multinomial logit analysis was applied to identify the risk factors potentially influencing driver injury severity of single-vehicle ROR crash using accident records between 2011 and 2017 which were extracted from H...

Currently, information technology plays an important role in the tourism industry. Tourists like to use social media more widely for their travel planning, which affects the high competition between entrepreneurs while facing the challenge of improving the quality of data services provided through social media. This study developed a model of the r...

Objective Rear-end crashes are a type of road traffic accident that occurs frequently. Currently, the application of advanced statistical models to predict the frequency of accident numbers has increased because such models enable accuracy in predictions. The study focuses on the application of these statistical models to determine the relationship...

A rear-end crash is a widely studied type of road accident. The road area at the crash scene is a factor that significantly affects the crash severity from rear-end collisions. These road areas may be classified as urban or rural and evince obvious differences such as speed limits, number of intersections, vehicle types, etc. However, no study comp...

There is a significant need to change people's travel mode from personal cars to public rail, because rail transport is a more environmentally friendly travel mode. Over the past decade, the number of rail passengers has reduced because of service quality problems. Thus, this study aims to propose guidelines for precise service quality (SQ) improve...

The airline industry in Thailand has grown enormously over the past decade. Competition among airline companies to reach market share and profit has been intense, requiring strong strategic abilities. To increase the service quality of such companies, identifying factors related to the context of airlines is important for policymakers. Thus, this s...

The purposes of this research are (1) to create a motorcycle riding behavior measurement model for a Thai population by Motorcycle Rider Behavior Questionnaire (MRBQ) modification with exploratory factor analysis (EFA); (2) to verify the measurement model by second-order confirmatory factor analysis (second-order CFA); and (3) to define the guideli...

In 2018, 19,931 people were killed in road accidents in Thailand. Thus, reduction in the number of accidents is urgently required. To provide a master plan for reducing the number of accidents, future forecast data are required. Thus, we aimed to identify the appropriate forecasting method. We considered four methods in this study: Time-series anal...

Objective . Among crash types on Thai highways, rear-end crashes have been found to cause the largest number of fatalities. This study aims to find ways to decrease rear-end crashes and fatal rear-end crashes. Methods . Classification and regression tree (CART) was used to analyze the complicated relationship of variables of big data. The analysis...

To curb the rising road traffic accident trend in Myanmar, there is an urgent need to improve road safety. This study aims to evaluate current government road safety interventions. The contingent valuation-payment card method was used to elicit car drivers’ willingness to pay (WTP) for fatality risk reduction. The value of statistical life (VSL) wa...

Wearing a helmet has been widely recognized as a factor in reducing motorcycle accident fatalities. Establishing a campaign to increase helmet use is therefore essential. When considering differences between residential areas, there are differences in attitudes or motivations toward helmet wearing. This study analyzed the factors affecting the inte...

The increasing severity and number of intercity bus accident occurrences result in huge loss of lives and assets. However, we can reduce these risks and the severity by wearing seat belts while travelling in buses. This study aims to determine the factors that affect the seat belt use behavioural intention of intercity bus passengers. These factors...

The dramatic increase in vehicle ownership in Myanmar over the past few years has resulted in an alarming increase in traffic accidents. Thus, road safety at the national level needs to be improved urgently in order to reduce the costs associated with traffic accidents and to assist policy makers in making economically efficient resource allocation...

The rapid rise in the number of motorbikes in Myanmar over the last few years has resulted in a commensurate increase in road accidents, with nearly half of all road traffic deaths being motorbike riders. Therefore, there is an urgent need to improve road safety in general, with a specific focus on motorbike accidents. This study estimates the valu...

In Thailand, the number of accidents caused by intercity buses and their severity are increasing while the rate of seat belt use by intercity bus passengers is decreasing. This study aims to identify the factors affecting the seat belt use behavioural intention (BI) of intercity bus passengers. For analysis, the samples were divided into 2 groups:...