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Dr. Thanapong Champahom
Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand

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0 Logistics Management
0 Public Transport
0 Traffic Engineering
0 Transportation
0 Analytic methods

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Journal article
Published: 20 August 2021 in Accident Analysis & Prevention
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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 and rural roadways, using data on motorcycle crashes in Thailand from 2016 to 2019. Using a rating system for injury severity level from minor injury to severe injury and to fatal injury, a wide range of potential risk factors are considered, including rider characteristics and actions, roadway characteristics, environmental and temporal characteristics, and crash characteristics. The findings indicate that, although some factors are significant in both urban and rural models, factors such as male rider, illegally overtaking, drowsiness, four-lane or wider highway, flush or depressed median, road on slope, weekend, nighttime with light, crash with van or minibus, and rear-ending or sideswiping crash, are significant only in the rural model, whereas the factors barrier median, occurring between 18:00 and 23:59, and striking a passenger car are statistically significant in only the urban model. These findings further suggests that difference in effect of unobserved characteristics could be seen in different crash locations, and splitting the model estimation between both location types could be done to develop effective guidance for policies to mitigate the severity of motorcyclist injuries. In addition, practical policy-related recommendations drawn from the results of the analysis are provided. With respect to methodology, the proposed CRPOPHM method outperforms lower-ordered models in terms of statistical fit and captures unobserved heterogeneity to a greater extent.

ACS Style

Chamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Palaphorn Chaimuang; Vatanavongs Ratanavaraha. Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means. Accident Analysis & Prevention 2021, 161, 106352 .

AMA Style

Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Palaphorn Chaimuang, Vatanavongs Ratanavaraha. Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means. Accident Analysis & Prevention. 2021; 161 ():106352.

Chicago/Turabian Style

Chamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Palaphorn Chaimuang; Vatanavongs Ratanavaraha. 2021. "Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means." Accident Analysis & Prevention 161, no. : 106352.

Journal article
Published: 23 June 2021 in Sustainability
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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.

ACS Style

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 Style

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 (13):7046.

Chicago/Turabian Style

Kattreeya 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.

Journal article
Published: 23 June 2021 in Analytic Methods in Accident Research
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Chamroeun 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.

Research article
Published: 11 December 2020 in International Journal of Injury Control and Safety Promotion
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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.

ACS Style

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 Style

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 (1):113-126.

Chicago/Turabian Style

Chamroeun 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.

Journal article
Published: 12 October 2020 in Sustainability
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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.

ACS Style

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 Style

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 (20):8395.

Chicago/Turabian Style

Sajjakaj 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.

Research article
Published: 31 August 2020 in Journal of Transportation Safety & Security
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Thanapong 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.

Journal article
Published: 22 May 2020 in Sustainability
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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.

ACS Style

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 Style

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 (10):4259.

Chicago/Turabian Style

Sajjakaj 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.

Journal article
Published: 13 April 2020 in Accident Analysis & Prevention
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Thanapong 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.

Research article
Published: 27 November 2019 in Journal of Advanced Transportation
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

Thanapong 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.

Journal article
Published: 11 February 2019 in The Social Science Journal
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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.

ACS Style

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 Style

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 (4):508-529.

Chicago/Turabian Style

Thanapong 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.