This page has only limited features, please log in for full access.
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 all businesses and industries, including the aviation industry and especially for passenger airlines whose number of customers has decreased astoundingly due to travel restriction. To maintain business stability, therefore, airlines must build customer loyalty to survive in times of crisis. This study thus examines critical factors’ impact on airline loyalty by using a Bayesian network (BN) derived from a structural equation modeling (SEM). The study integrates the SEM and BN to refine causal relationships between critical factors, identified as critical pathways. Findings reveal that customer satisfaction and customer trust, followed by perceived value, dramatically influence customer loyalty and so are considered priorities for building airlines’ customer loyalty. This study also recommends practical strategies and policies to improve customer loyalty amid the competitive airline business during and after the COVID-19 era.
Kattreeya Chanpariyavatevong; Warit Wipulanusat; Thanapong Champahom; Sajjakaj Jomnonkwao; Dissakoon Chonsalasin; Vatanavongs Ratanavaraha. Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks. Sustainability 2021, 13, 7046 .
AMA StyleKattreeya Chanpariyavatevong, Warit Wipulanusat, Thanapong Champahom, Sajjakaj Jomnonkwao, Dissakoon Chonsalasin, Vatanavongs Ratanavaraha. Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks. Sustainability. 2021; 13 (13):7046.
Chicago/Turabian StyleKattreeya Chanpariyavatevong; Warit Wipulanusat; Thanapong Champahom; Sajjakaj Jomnonkwao; Dissakoon Chonsalasin; Vatanavongs Ratanavaraha. 2021. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks." Sustainability 13, no. 13: 7046.
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 data in Thailand, a developing country, from 2011 to 2017. The uncorrelated and correlated random parameters model, which enable a possible heterogeneity in means and variances approaches, were estimated for individual year model using two levels of driver-injury severities, namely, no/minor injury and severe/fatal injury. The models considered a wide range of factors, such as driver, roadway, vehicle, crash, environmental and temporal, and spatial characteristics. The series of likelihood ratio test and the marginal effect of significant factors were computed to explore the temporal stability of the year models and to investigate the temporal instability of the effect of each parameter estimate on the probability of driver-injury severities within given time periods, respectively. The result indicates that a substantial temporal instability exists in the model specifications and estimated parameters (temporally unstable factor included male driver, driving using exceeding speed limit, crashes on asphalt pavement, crashes on weekends, and crashes on weekend during nighttime with present of road lighting) across the time periods under study (despite insignificant in particular year models, some factors were stable but marginal effects varied across time). The findings may be used to assist and guide decision makers in policy generation for plans to mitigate driver-injury severities. Despite the unclear source of temporal instability, the finding emphasizes the importance of the temporal instability of the factors that influence the outcomes of driver-injury severities. Alternatively, ignoring temporal instability in studies on crash severity may lead to high levels of bias and inaccurate conclusions. With regard to methodologies, both random parameters with heterogeneity in means and variances and correlated random parameters with heterogeneity in means approaches are promising methods with ability to offer another layer of insight into unobserved heterogeneity in injury severities research.
Chamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha. Temporal Stability of Factors Influencing Driver-Injury Severities in Single-Vehicle Crashes: A Correlated Random Parameters with Heterogeneity in Means and Variances Approach. Analytic Methods in Accident Research 2021, 32, 100179 .
AMA StyleChamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha. Temporal Stability of Factors Influencing Driver-Injury Severities in Single-Vehicle Crashes: A Correlated Random Parameters with Heterogeneity in Means and Variances Approach. Analytic Methods in Accident Research. 2021; 32 ():100179.
Chicago/Turabian StyleChamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha. 2021. "Temporal Stability of Factors Influencing Driver-Injury Severities in Single-Vehicle Crashes: A Correlated Random Parameters with Heterogeneity in Means and Variances Approach." Analytic Methods in Accident Research 32, no. : 100179.
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 loyalty by using structural equation modeling. The analysis of influence information that affects passenger loyalty revealed that trust, satisfaction, appreciation, cost of service changing, and relationships have an effect on passenger loyalty, statistically significant at 0.01. The satisfied variable was an important variable that affected passenger loyalty and was directly influenced by trust, appreciation, and perceived service quality. The perceived service quality was measured using 36 indicators and grouped into five complement groups, which were station, news, services, staffs, and vehicle, respectively. The research finding was that the cooperation concern with urban railway service can apply the result to the marketing development strategy to be a sustainable method of standardized service and urban railways system improvement.
Nattiya Wonglakorn; Vatanavongs Ratanavaraha; Ampol Karoonsoontawong; Sajjakaj Jomnonkwao. Exploring Passenger Loyalty and Related Factors for Urban Railways in Thailand. Sustainability 2021, 13, 5517 .
AMA StyleNattiya Wonglakorn, Vatanavongs Ratanavaraha, Ampol Karoonsoontawong, Sajjakaj Jomnonkwao. Exploring Passenger Loyalty and Related Factors for Urban Railways in Thailand. Sustainability. 2021; 13 (10):5517.
Chicago/Turabian StyleNattiya Wonglakorn; Vatanavongs Ratanavaraha; Ampol Karoonsoontawong; Sajjakaj Jomnonkwao. 2021. "Exploring Passenger Loyalty and Related Factors for Urban Railways in Thailand." Sustainability 13, no. 10: 5517.
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 of driving behaviors in Thailand. A driver behavior questionnaire (DBQ) was integrated with data on texting and social media-related driver behaviors. In addition, we observed behaviors such as drug and alcohol consumption while driving. The participants consisted of 1532 adults 20 years of age or older with a driving license from 30 provinces in Thailand. Confirmatory factor analysis was used to develop the measurement model. The findings come from 25 questions from the DBQ and five questions about new additional behaviors in the model. The factors used for the measurement of driving behaviors concern violations, errors, lapses, and aggressiveness. Moreover, the modified DBQ regarding texting and social media, as well as drug and alcohol consumption, was used for the measurement of driving behaviors as well. The questionnaire can be used to measure Thai drivers’ behaviors and meet the goodness-of-fit statistics criteria of every measurement model and develop self-assessment reports to evaluate risky behaviors before people obtain a driving license. Moreover, this research contributes to the literature by introducing a model for improvements in road safety policies to support current laws and to reduce risky behaviors such as driving after alcohol consumption and texting while driving.
Sajjakaj Jomnonkwao; Savalee Uttra; Vatanavongs Ratanavaraha. Analysis of a driving behavior measurement model using a modified driver behavior questionnaire encompassing texting, social media use, and drug and alcohol consumption. Transportation Research Interdisciplinary Perspectives 2021, 9, 100302 .
AMA StyleSajjakaj Jomnonkwao, Savalee Uttra, Vatanavongs Ratanavaraha. Analysis of a driving behavior measurement model using a modified driver behavior questionnaire encompassing texting, social media use, and drug and alcohol consumption. Transportation Research Interdisciplinary Perspectives. 2021; 9 ():100302.
Chicago/Turabian StyleSajjakaj Jomnonkwao; Savalee Uttra; Vatanavongs Ratanavaraha. 2021. "Analysis of a driving behavior measurement model using a modified driver behavior questionnaire encompassing texting, social media use, and drug and alcohol consumption." Transportation Research Interdisciplinary Perspectives 9, no. : 100302.
Roodheer Beeharry; Vatanavongs Ratanavaraha; Rajeshwar Goodary. Road Engineering Determinants of Moped and Motorcycle Crashes at Non-Intersection Road Segments in a Developing Country – Mauritius. International Journal of Civil Infrastructure 2021, 4, 58 -99.
AMA StyleRoodheer Beeharry, Vatanavongs Ratanavaraha, Rajeshwar Goodary. Road Engineering Determinants of Moped and Motorcycle Crashes at Non-Intersection Road Segments in a Developing Country – Mauritius. International Journal of Civil Infrastructure. 2021; 4 ():58-99.
Chicago/Turabian StyleRoodheer Beeharry; Vatanavongs Ratanavaraha; Rajeshwar Goodary. 2021. "Road Engineering Determinants of Moped and Motorcycle Crashes at Non-Intersection Road Segments in a Developing Country – Mauritius." International Journal of Civil Infrastructure 4, no. : 58-99.
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 which have the ability to account for both unobserved heterogeneity and correlation within road-segment, to investigate and compare the impact of significant factors influencing fatal single-vehicle crash between young, mid-age and old driver model. A seven-years from 2011 to 2017 crash data, Department of Highway (DOH), Thailand were used in this study. The Intra-Class-Correlation values indicate the importance of road-segment level that 10.1%, 12.2% and 12.8% of the total variation were accounted by random effect from road-segment heterogeneity for young, mid-age and old driver model, respectively. The estimated result of this study shows that influence of alcohol and fatigue increase risk of fatal crash among young and old driver, seatbelt-usage reduce risk of being fatal among mid-age and old driver, roadside safety feature (guardrail) significantly reduce fatality risk among young and mid-age driver, and night time driving without light increase probability of fatal crash for mid-age driver. This study recommends the need to enforce the law on driver under influence of alcohol and seatbelt usage, educational campaign on driving, and installation of guardrail on curve road.
Chamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Chinnakrit Banyong; Piti Sukontasukkul; Vatanavongs Ratanavaraha. Hierarchical binary logit model to compare driver injury severity in single-vehicle crash based on age-groups. International Journal of Injury Control and Safety Promotion 2020, 28, 113 -126.
AMA StyleChamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Chinnakrit Banyong, Piti Sukontasukkul, Vatanavongs Ratanavaraha. Hierarchical binary logit model to compare driver injury severity in single-vehicle crash based on age-groups. International Journal of Injury Control and Safety Promotion. 2020; 28 (1):113-126.
Chicago/Turabian StyleChamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Chinnakrit Banyong; Piti Sukontasukkul; Vatanavongs Ratanavaraha. 2020. "Hierarchical binary logit model to compare driver injury severity in single-vehicle crash based on age-groups." International Journal of Injury Control and Safety Promotion 28, no. 1: 113-126.
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 the theory of planned behavior (TPB) and the locus of control (LC) theory. The data used in the research were collected from all over Thailand, consisting of 1516 motorcycle riders (903 men and 613 women) aged over 20 years. A self-administered questionnaire was designed for data collection of the riding behavior using the Motorcycle Rider Behavior Questionnaire (MRBQ), including traffic errors, control errors, stunt frequency, and safety equipment. We found that riding behaviors between men and women were significantly different in both theories. For men, TPB showed that the main factors that highly influenced motorcycle riding behavior (MRB) were the attitudes based on health motivation (AHM) and perceived behavior control (PC); for women, AHM produced a stronger effect than in men. However, for the subjective norms (SN) factor, we found no direct effect on MRB, but did find an indirect effect through the attitudes based on severity (ASE) in both sexes. Particularly for women, the indirect influence value of the SN factor was higher. For women, the LC showed that internal factors had more influence than external factors. The same was found for men, but the effect in women was significantly stronger. We found that sex significantly affected the MRB. Therefore, policies must be implemented that address each group specifically as their attitudes and behaviors are different.
Savalee Uttra; Napat Laddawan; Vatanavongs Ratanavaraha; Sajjakaj Jomnonkwao. Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling. International Journal of Environmental Research and Public Health 2020, 17, 8797 .
AMA StyleSavalee Uttra, Napat Laddawan, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao. Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling. International Journal of Environmental Research and Public Health. 2020; 17 (23):8797.
Chicago/Turabian StyleSavalee Uttra; Napat Laddawan; Vatanavongs Ratanavaraha; Sajjakaj Jomnonkwao. 2020. "Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling." International Journal of Environmental Research and Public Health 17, no. 23: 8797.
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 transport users in Thailand using traditional importance performance analysis (IPA), gap analysis, and IPA integrated with competitor performance. We aimed to explain the differences in the analysis results produced by the three methods. The data were obtained from surveying 2250 elderly and 450 non-elderly adults. This study presents guidelines for improving the public transport service quality in Thailand to meet user needs. The results of this research showed that each approach provides its own distinctive aspects and theoretical differences, which lead to different interpretations. The results from the three approaches showed that equipment that increases safety for public transportation service users is an important factor for all elderly passengers that must be improved. Public transportation services in different regions should be developed to provide more reliable and regular services.
Methawadee Chaisomboon; Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha. Elderly Users’ Satisfaction with Public Transport in Thailand Using Different Importance Performance Analysis Approaches. Sustainability 2020, 12, 9066 .
AMA StyleMethawadee Chaisomboon, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha. Elderly Users’ Satisfaction with Public Transport in Thailand Using Different Importance Performance Analysis Approaches. Sustainability. 2020; 12 (21):9066.
Chicago/Turabian StyleMethawadee Chaisomboon; Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha. 2020. "Elderly Users’ Satisfaction with Public Transport in Thailand Using Different Importance Performance Analysis Approaches." Sustainability 12, no. 21: 9066.
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 accidents, and helmet wearing could save lives and reduce the level of severe injuries. In this regard, the objective of this study was to study and develop a model of factors that affected helmet use behavior using structural equation modeling (SEM) based on the Health Belief Model (HBM). Further, this study compared urban and rural models, so as to suggest suitable guidelines for the promotion of helmet use in the study areas. The sample comprised 801 motorcycle users divided into 401 urban residents and 400 rural residents. From the parameter invariance testing in the two areas, a chi-square difference test found differences in the factor loading, intercepts, and structural paths between urban and rural societies.
Sajjakaj Jomnonkwao; Duangdao Watthanaklang; Onanong Sangphong; Thanapong Champahom; Napat Laddawan; Savalee Uttra; Vatanavongs Ratanavaraha. A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas. Sustainability 2020, 12, 8395 .
AMA StyleSajjakaj Jomnonkwao, Duangdao Watthanaklang, Onanong Sangphong, Thanapong Champahom, Napat Laddawan, Savalee Uttra, Vatanavongs Ratanavaraha. A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas. Sustainability. 2020; 12 (20):8395.
Chicago/Turabian StyleSajjakaj Jomnonkwao; Duangdao Watthanaklang; Onanong Sangphong; Thanapong Champahom; Napat Laddawan; Savalee Uttra; Vatanavongs Ratanavaraha. 2020. "A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas." Sustainability 12, no. 20: 8395.
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 relationships between structure factors that affect intentions to use social media for travel planning. The said model integrates the technology acceptance model (TAM) theory, the theory of planned behavior (TPB), and trust and satisfaction factors. In reference to a survey of 1333 samples from domestic tourists who used social media through their smartphone, it was found that satisfaction, attitudes, subjective norms, and perception can be used to control behavior, with a positively direct effect on intentions of use. In addition, we examined the indirect effect on intentions of use. Perceived ease of use, perceived usefulness, and subjective norms had a positively significant indirect effect on intentions of use. These research results allow tourism entrepreneurs to precisely understand the stimulating factors of tourists’ intentions to use social media for travel-planning decisions, which will help lead to the development of tourism-marketing strategies and the support of sustainable competition.
Ekkapong Cheunkamon; Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha. Determinant Factors Influencing Thai Tourists’ Intentions to Use Social Media for Travel Planning. Sustainability 2020, 12, 7252 .
AMA StyleEkkapong Cheunkamon, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha. Determinant Factors Influencing Thai Tourists’ Intentions to Use Social Media for Travel Planning. Sustainability. 2020; 12 (18):7252.
Chicago/Turabian StyleEkkapong Cheunkamon; Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha. 2020. "Determinant Factors Influencing Thai Tourists’ Intentions to Use Social Media for Travel Planning." Sustainability 12, no. 18: 7252.
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 between explanatory variables and the frequency of rear-end crashes. Method: Data used are rear-end collisions occurring on highways throughout Thailand for the years 2011–2018. The number of rear-end collisions was distributed according to road segments with similar physical characteristics. Spatial correlation was utilized by varying according to the jurisdiction of the Department of Highways. Four models, namely, Poisson regression model, negative binomial model, zero-inflated negative binomial model, and spatial zero-inflated negative binomial (SZINB) model were developed. Results: When compared with the conditional Akaike Information Criterion (cAIC), SIZNB was found to be most suitable for data. Regarding random effect results, the effect of the significance was constant for the variables conditional state and zero state, which covered segment length, number of lanes, and traffic volume. Conclusion: This study can serve as a starting point for researchers interested in applying the spatial model to the analysis of rear-end crashes.
Thanapong Champahom; Sajjakaj Jomnonkwao; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha. Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways. Journal of Transportation Safety & Security 2020, 1 -18.
AMA StyleThanapong Champahom, Sajjakaj Jomnonkwao, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha. Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways. Journal of Transportation Safety & Security. 2020; ():1-18.
Chicago/Turabian StyleThanapong Champahom; Sajjakaj Jomnonkwao; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha. 2020. "Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways." Journal of Transportation Safety & Security , no. : 1-18.
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) improvements of intercity rail services in Thailand. Data were collected from 615 train passengers by distributing questionnaires at train stations in six provinces, covering all regions of Thailand. Cluster analysis (CA), factor analysis (FA), and importance-performance analysis (IPA) were applied in this research, which were used based on gap analysis. As a result of CA and FA, the 45 quality indicators were grouped into four factors, namely, vehicles, staff, services, and infrastructures/stations. The FA results seem more appropriate than those of CA in terms of providing factor loadings that indicate the importance of each indicator. The results of IPA show that the seven indicators that were analyzed fell into the “concentrate here” quadrant. To summarize the current policy, the factor most in need of rapid improvement in order to increase the quality of the intercity rail service in Thailand is that of the train car variables group; on the other hand, the main strength of the current services relates to the services provided by staff.
Sajjakaj Jomnonkwao; Thanapong Champahom; Vatanavongs Ratanavaraha. Methodologies for Determining the Service Quality of the Intercity Rail Service Based on Users’ Perceptions and Expectations in Thailand. Sustainability 2020, 12, 4259 .
AMA StyleSajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha. Methodologies for Determining the Service Quality of the Intercity Rail Service Based on Users’ Perceptions and Expectations in Thailand. Sustainability. 2020; 12 (10):4259.
Chicago/Turabian StyleSajjakaj Jomnonkwao; Thanapong Champahom; Vatanavongs Ratanavaraha. 2020. "Methodologies for Determining the Service Quality of the Intercity Rail Service Based on Users’ Perceptions and Expectations in Thailand." Sustainability 12, no. 10: 4259.
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 study aims to present empirical data on structural factors related to the loyalty of domestic airline passengers. Structural equation modeling was used to confirm the proposed model. The questionnaire was used to survey and collect data from 1600 airline passengers. The results indicate that satisfaction, trust, perceived quality, relationship, and image of airlines positively influenced loyalty with a statistical significance of α = 0.05. Moreover, the study found that expectation and perceived quality indirectly influenced loyalty. The findings provide a reference for airline operators to clearly understand the factors that motivate passenger loyalty, which can be used to develop the sustainability of marketing strategies and support competitiveness.
Dissakoon Chonsalasin; Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha. Key Determinants of Airline Loyalty Modeling in Thailand. Sustainability 2020, 12, 4165 .
AMA StyleDissakoon Chonsalasin, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha. Key Determinants of Airline Loyalty Modeling in Thailand. Sustainability. 2020; 12 (10):4165.
Chicago/Turabian StyleDissakoon Chonsalasin; Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha. 2020. "Key Determinants of Airline Loyalty Modeling in Thailand." Sustainability 12, no. 10: 4165.
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 comparing rear-end crashes occurring in urban and rural areas has yet been conducted. Therefore, the present investigation focused on the comparison of diverse factors affecting the likelihood of rear-end crash severities in the two types of roadways. Additionally, hierarchical logistic models grounded in a spatial basis concept were applied by determining varying parameter estimations with regard to road segments. Additionally, the study compared coefficients with multilevel correlation model and those without multilevel correlation. Four models were established as a result. The data used for the study pertained to rear-end crashes occurring on Thai highways between 2011 and 2015. The results of the data analysis revealed that the model parameters for both urban and rural areas are in the same direction with the larger number of significant parameter values present in the rural rear-end crash model. The significant variables in both the urban and rural road segment models are the seat belt use, and the time of the incident. To conclude, the present study is useful because it provides another perspective of rear-end crashes to encourage policy makers to apply decisions that favor rules that assure safety.
Thanapong Champahom; Sajjakaj Jomnonkwao; Duangdao Watthanaklang; Ampol Karoonsoontawong; Vuttichai Chatpattananan; Vatanavongs Ratanavaraha. Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes. Accident Analysis & Prevention 2020, 141, 105537 .
AMA StyleThanapong Champahom, Sajjakaj Jomnonkwao, Duangdao Watthanaklang, Ampol Karoonsoontawong, Vuttichai Chatpattananan, Vatanavongs Ratanavaraha. Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes. Accident Analysis & Prevention. 2020; 141 ():105537.
Chicago/Turabian StyleThanapong Champahom; Sajjakaj Jomnonkwao; Duangdao Watthanaklang; Ampol Karoonsoontawong; Vuttichai Chatpattananan; Vatanavongs Ratanavaraha. 2020. "Applying hierarchical logistic models to compare urban and rural roadway modeling of severity of rear-end vehicular crashes." Accident Analysis & Prevention 141, no. : 105537.
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 guidelines of the self-assessment report for Thai people in terms of riding motorcycles. Collected data were distributed among four areas: metro-municipalities, municipalities, district municipalities, and non-municipalities from five regions. The sample consisted of 1516 motorcycle riders who were at least 20 years old. Of these riders, 91.4% had motorcycle riding licenses, 84.4% had over five years of experience in motorcycle riding, 75.5% used a motorcycle to go to work/study, and 82.1% used a helmet sometimes. Exploratory factor analysis (EFA) and second-order confirmatory factor analysis (second-order CFA) were used for measurement model creation. The results presented 26 indicators that were confirmed to compose the motorcycle riding behavior of Thai people at a statistical significance level of α = 0.05; these were separated into four factors, namely, traffic error, control error, stunts, and safety equipment. The results of this MRBQ study can inform future study of the motorcycle riding behavior of Thai people.
Savalee Uttra; Sajjakaj Jomnonkwao; Duangdao Watthanaklang; Vatanavongs Ratanavaraha. Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ). Sustainability 2020, 12, 2785 .
AMA StyleSavalee Uttra, Sajjakaj Jomnonkwao, Duangdao Watthanaklang, Vatanavongs Ratanavaraha. Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ). Sustainability. 2020; 12 (7):2785.
Chicago/Turabian StyleSavalee Uttra; Sajjakaj Jomnonkwao; Duangdao Watthanaklang; Vatanavongs Ratanavaraha. 2020. "Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)." Sustainability 12, no. 7: 2785.
The multi-trip time-dependent vehicle routing problem with soft time windows and overtime constraints (MT-TDVRPSTW-OT) is considered in this paper. The modified hierarchical multi-objective formulation and the equivalent single-objective formulation are proposed. The iterative multi-trip tour construction and improvement (IMTTCI) procedure and the single-trip tour counterpart procedure with post-processing greedy heuristic (ISTTCI-GH) are proposed to solve the problem. These procedures are based on the ruin and recreate principle, and consider trade-offs among cost components (vehicle usage, number of early/late soft time window occurrences, transport distance, transport time, overtime and early/late soft time window penalty costs) in the search process. From the computational experiment, the IMTTCI procedure outperforms the existing efficient insertion heuristic with 42.09% improvement in number of vehicles and 24.30% improvement in travel time for the constant-speed multi-trip vehicle routing problem with hard time windows and shift time limits, a special case of MT-TDVRPSTW-OT problem, on all problem instances. For the MT-TDVRPSTW-OT problem, the ISTTCI-GH and the IMTTCI outperform the ISTTCI on all problem groups by 43.21% and 69.44% in the number of vehicles (the primary objective), respectively. The IMTTCI outperforms the ISTTCI-GH in number of vehicles by 51.07%, but takes 42.83% longer CPU time than the ISTTCI-GH. The performance of IMTTCI in terms of the primary objective improves with the increase of mean speed as well as the increase of time window width and planning horizon across all customer configuration types, tighter/looser time windows, shorter/longer planning horizon and various time-dependent travel speed profiles. The sensitivity analysis of different problem parameters is performed. The complexity analysis of the proposed procedures shows that the proposed procedures are solvable in polynomial time, and from the computational results the relationships between the CPU time and problem size confirm this. For the MT-VRPSTW-OT, a mixed integer program and the special case of MT-TDVRPSTW-OT, on 12-customer instances, the proposed IMTTCI algorithm yields the average optimality gap of 1.35% with the average CPU time of 0.66 seconds, whereas the GAMS/CPLEX solver yields the average optimality gap of 0.83% with the average CPU time of 256.39 seconds. The proposed IMTTCI algorithm yields only 0.52% greater optimality gap but 388 times faster CPU time than the commercial solver.
Ampol Karoonsoontawong; Puntipa Punyim; Wanvara Nueangnitnaraporn; Vatanavongs Ratanavaraha. Multi-Trip Time-Dependent Vehicle Routing Problem with Soft Time Windows and Overtime Constraints. Networks and Spatial Economics 2020, 20, 549 -598.
AMA StyleAmpol Karoonsoontawong, Puntipa Punyim, Wanvara Nueangnitnaraporn, Vatanavongs Ratanavaraha. Multi-Trip Time-Dependent Vehicle Routing Problem with Soft Time Windows and Overtime Constraints. Networks and Spatial Economics. 2020; 20 (2):549-598.
Chicago/Turabian StyleAmpol Karoonsoontawong; Puntipa Punyim; Wanvara Nueangnitnaraporn; Vatanavongs Ratanavaraha. 2020. "Multi-Trip Time-Dependent Vehicle Routing Problem with Soft Time Windows and Overtime Constraints." Networks and Spatial Economics 20, no. 2: 549-598.
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 analysis, curve estimation, regression analysis, and path analysis. The data used in the analysis included death rate per 100,000 population, gross domestic product (GDP), the number of registered vehicles (motorcycles, cars, and trucks), and energy consumption of the transportation sector. The results show that the best three models, based on the mean absolute percentage error (MAPE), are the multiple linear regression model 3, time-series with exponential smoothing, and path analysis, with MAPE values of 6.4%, 8.1%, and 8.4%, respectively.
Sajjakaj Jomnonkwao; Savalee Uttra; Vatanavongs Ratanavaraha. Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models. Sustainability 2020, 12, 395 .
AMA StyleSajjakaj Jomnonkwao, Savalee Uttra, Vatanavongs Ratanavaraha. Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models. Sustainability. 2020; 12 (1):395.
Chicago/Turabian StyleSajjakaj Jomnonkwao; Savalee Uttra; Vatanavongs Ratanavaraha. 2020. "Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models." Sustainability 12, no. 1: 395.
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 was conducted by creating two models: (1) a model which indicates the causes of rear-end crashes by applying Quasi-Induced Exposure to at-fault driver characteristics; (2) a determined model which studies fatal crashes. Results. Predictor variables in the model of at-fault and not-at-fault drivers found that driver age is most significant, followed by number of lanes and median opening area. For the mode of fatality, the use of safety equipment was found to be of most importance. Conclusion. The model results can be used to develop guidelines for public awareness programs for motorists and to propose policy changes to the Department of Highway in order to reduce the severity of rear-end crashes. Moreover, this paper discusses the variables that may result in both the perspective of rear-end crash number and the fatality rate of rear-end crashes as strategies in future research.
Thanapong Champahom; Sajjakaj Jomnonkwao; Vuttichai Chatpattananan; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha. Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach. Journal of Advanced Transportation 2019, 2019, 1 -13.
AMA StyleThanapong Champahom, Sajjakaj Jomnonkwao, Vuttichai Chatpattananan, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha. Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach. Journal of Advanced Transportation. 2019; 2019 ():1-13.
Chicago/Turabian StyleThanapong Champahom; Sajjakaj Jomnonkwao; Vuttichai Chatpattananan; Ampol Karoonsoontawong; Vatanavongs Ratanavaraha. 2019. "Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach." Journal of Advanced Transportation 2019, no. : 1-13.
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) was then estimated and the factors influencing the WTP were examined using structural equation modeling. The estimated range for VSL was found to be MMK 104.167 million (US$ 86,805) to MMK 195.771 million (US$ 163, 142). Gender (male), mediating good driving behavior, and age indicators were found to negatively influence the WTP, whereas socioeconomic characteristics, good driving behavior, and risk perception factors were found to positively influence the WTP. The proposed model explained 33.7% of the variance and traffic accident risk perception was found to have the strongest influence on the WTP. This study can serve as a decision making tool for road safety improvement policies.
Ei Ei Mon; Sajjakaj Jomnonkwao; Buratin Khampirat; Thaned Satiennam; Vatanavongs Ratanavaraha. Estimating the willingness to pay and the value of fatality risk reduction for car drivers in Myanmar. Case Studies on Transport Policy 2019, 7, 301 -309.
AMA StyleEi Ei Mon, Sajjakaj Jomnonkwao, Buratin Khampirat, Thaned Satiennam, Vatanavongs Ratanavaraha. Estimating the willingness to pay and the value of fatality risk reduction for car drivers in Myanmar. Case Studies on Transport Policy. 2019; 7 (2):301-309.
Chicago/Turabian StyleEi Ei Mon; Sajjakaj Jomnonkwao; Buratin Khampirat; Thaned Satiennam; Vatanavongs Ratanavaraha. 2019. "Estimating the willingness to pay and the value of fatality risk reduction for car drivers in Myanmar." Case Studies on Transport Policy 7, no. 2: 301-309.
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 intention to wear a helmet to determine appropriate policies and guidelines. The theory of planned behavior (TPB) and Locus of Control (LOC) were applied, with the given socioeconomic background, basic attitude, and other characteristics being investigated, to assess the different behaviors or intentions in urban and rural areas. Structural equation modeling (SEM) segmented urban and rural areas to be used for the multi-group analysis, from which it was found that the attitudes in the two areas were significantly different. For latent variables that significantly affected helmet use intention in the urban locale, it was found that the most impactful factors were positive attitude and internality. In rural society, positive attitude was the most important factor, followed by internality and subjective norms. Indicating factors can be summarized in the following policies: it was concluded that promoting motorcycle helmet use and a positive attitude toward the wearing of helmets, by making riders realize how they could act to decrease injuries, should be emphasized in both urban and rural areas. However, in the rural community, the value of wearing a helmet should also include the impacts on people close to riders, such as friends or parents.
Thanapong Champahom; Sajjakaj Jomnonkwao; Thaned Satiennam; Nattapong Suesat; Vatanavongs Ratanavaraha. Modeling of safety helmet use intention among students in urban and rural Thailand based on the theory of planned behavior and Locus of Control. The Social Science Journal 2019, 57, 508 -529.
AMA StyleThanapong Champahom, Sajjakaj Jomnonkwao, Thaned Satiennam, Nattapong Suesat, Vatanavongs Ratanavaraha. Modeling of safety helmet use intention among students in urban and rural Thailand based on the theory of planned behavior and Locus of Control. The Social Science Journal. 2019; 57 (4):508-529.
Chicago/Turabian StyleThanapong Champahom; Sajjakaj Jomnonkwao; Thaned Satiennam; Nattapong Suesat; Vatanavongs Ratanavaraha. 2019. "Modeling of safety helmet use intention among students in urban and rural Thailand based on the theory of planned behavior and Locus of Control." The Social Science Journal 57, no. 4: 508-529.