Rong-Chang Jou

National Chi Nan University, Nantow, Taiwan, Taiwan

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Publications (50)64.61 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: Literature has suggested that angle/rear-end collisions would arise from the reality that motorists and motorcyclists tended to accelerate aggressively in response to the remaining seconds of green signal countdown device (GSCD). One safety concern, while GSCD has gradually been removed for safety in Taiwan, is pedestrian green signal countdown device (PGSCD) that is used by approaching motorists and motorcyclists that may adopt the information to travel aggressively – an unintended consequence that is detrimental to safety. Research has reported that there appeared no negative effect of PGSCD on motorist behaviours but the effect on motorcyclists’ behaviours has been rarely investigated. Using video/speed cameras, the current research investigates motorcyclists’ RLV (red-light violation) behaviours. The descriptive analyses indicate that the percentage of RLV at PGSCD intersection is higher than that at typical intersection, and the violating motorcycles appear to have higher travelling speeds at PGSCD intersection. Several interaction terms were examined with the binary logit framework, and the results reveal that several factors are associated with RLV, notably male/young riders, moped/large motorcycle users, higher approaching speeds of motorcycles, those with tropical helmets, and lower traffic volume. Similar determinants of early-start behaviours (for those waiting at reds and could view the PGSCDs for the crossing pedestrians at the same time) were identified. Implications of the research findings, the concluding remarks, and recommendations for future research are finally provided.
    Accident Analysis & Prevention. 11/2014;
  • Rong-Chang Jou, Chih-Wei Pai, Yuan-Chan Wu
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    ABSTRACT: In order to reduce CO2 emissions from motorised transport, the Taiwanese government implemented an idling policy for vehicles in 2012. This paper applies a contingent valuation framework based on stated preference questions to calculate a reasonable fine for idling vehicles based on drivers’ preferences in Taiwan. Drivers were surveyed at urban roadsides to determine the amount of money they would prefer to pay for idling in excess of the 3 min currently allowed by law. The results obtained from our spike model analysis showed that drivers would prefer to pay a fine of 1720 NTD (approximately USD 57).
    Transportation Research Part A Policy and Practice 08/2014; 66:88–99. · 2.73 Impact Factor
  • Rong-Chang Jou, Yuan-Chan Wu, Jin-Long Liu
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    ABSTRACT: This paper examines the influence of different factors on motorist willingness to comply with idling stop regulations, as determined using stated preference analysis. Motorists were surveyed at urban roadsides in Taiwan, and the results obtained were analyzed using a partially adaptive model. The analysis showed that the standing time and turnoff idling engine while parking are both significant variables, and arise from risk aversion behavior. Environmental perceptions and convenience of use are the most influential factors, according to elasticity analysis. The study also verifies that a partially adaptive model is an appropriate model to consider censored data in a Triple-Bounded Dichotomous Choice analysis. These results will be useful as a reference for improving implementation of idling reduction regulations.
    Transportation Research Part D Transport and Environment 07/2014; 30:62–71. · 1.29 Impact Factor
  • Chung-Wei Kuo, Rong-Chang Jou
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    ABSTRACT: In this paper we propose a framework to investigate service quality asymmetrically. An asymmetric response model within structural equation framework is developed to study the relationship between service quality and the passenger’s behavioral intention in the cross-strait direct flight (Taiwan–Shanghai). The results reveal that service quality in the loss region has more impact on behavioral intention than service quality in the gain region. Hence, attention should be paid to the service quality of important attributes in the loss region and strategies should ensure service quality of those important attributes that meet passenger’s expectations.
    Transportation Research Part A Policy and Practice 04/2014; · 2.73 Impact Factor
  • Rong-Chang Jou, Tzu-Ying Chen
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    ABSTRACT: This study established a hypothesis model based on the seemingly unrelated regression equations (SURE) model to investigate the relationship between public transportation, car, and motorcycle use in various townships in Taiwan and to analyse important factors that affect the usage of these modes. The SURE model was adopted because of the lack of a significant correlation between the dependent variables. The pairwise covariance analysis for any two of the three transportation modes revealed that the transportation modes could substitute for one another. Factors related to modal and demographic characteristics had different impacts on the usage of the three modes. The calculation of elasticity using different population densities and public transportation usage showed that when the ‘number of city bus routes’ was increased by 50% in areas with high population density and high public transportation usage, car usage decreased by 1.4%, which corresponds to 300,000 vehicles, and total CO2 emissions reduced by 0.0204%. When the ‘total length of city bus routes’ was increased by 50%, the number of motorcycles used decreased by 83 million, and total CO2 emissions reduced by 1.119%, which corresponds to 1.4 million tonnes of CO2 emission. These findings suggest that these different factors had varying impacts on car and motorcycle usage in different areas. We therefore recommended that future transportation policies consider the varying transportation usage trends in different areas.
    Transportation Research Part A Policy and Practice 03/2014; 61:186–198. · 2.73 Impact Factor
  • Rong-Chang Jou, Guei-Lang Huang
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    ABSTRACT: This study explored the willingness to pay price for tolls and on-board units (OBUs) for short-distance freeway users who did not pass through toll stations and further explored the willingness to pay price for different user groups. Those users would be legally obliged to bear the brunt of freeway costs instead of avoiding the payment of any out-of-pocket costs. As expected, the implementation of ETC has not been successful because of the travel patterns of freeway users. The spike model was adopted in this study to minimise estimation errors caused by users who were unwilling to pay. The estimation results revealed that compared with other user groups, short-distance freeway users who did not pass through toll stations were less willing to pay for an OBU. In addition, the willingness to pay price for tolls increased with travel distance. In addition, this study demonstrated that short-distance freeway users who did not pass through toll stations evinced low levels of willingness to pay due to various factors, such as “low freeway usage rate”, “trips that occurred during off-peak hours”, and “short travel time”.
    Transport Policy 01/2014; 31:10–18. · 1.72 Impact Factor
  • Rong-Chang Jou
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    ABSTRACT: This study aimed to investigate the amount of consolation compensation that road accident perpetrators were willing to pay victims. It used 2010 statistics for general road accidents from Taiwan's National Police Agency (NPA) for further sampling and to mail questionnaires. In investigating consolation compensation, the framework of the contingent valuation method was used, and the data were collected through the design of different scenarios. In this study, five injury levels were designed to further analyse the consolation compensation price the perpetrators were willing to pay: minor injury, moderate injury, serious injury, disability, and death. The results revealed the price that many perpetrators were willing to pay was zero; however, we overcame this issue by using the Spike model. The estimated results showed that road accident perpetrators were willing to pay more consolation compensation with increased injury severity.
    Accident; analysis and prevention 01/2014; 67:21–29. · 1.65 Impact Factor
  • Rong-Chang Jou, Yi-Wen Chen
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    ABSTRACT: This study investigates the willingness of drivers, primarily motorcycle riders and car drivers, to accept delay time for different levels of service at signalised intersections. Videos of different levels of service were pre-recorded and presented to respondents in a survey. A contingent valuation method was employed to design scenarios corresponding to different levels of service. A spike model was subsequently employed to determine the acceptance of delay time. The results indicated a willingness to accept delay time ranging from 26 to 68 s for motorcycle riders and from 34 to 81 s for car drivers with different levels of service at signalised intersection. It is worth noting that the delay time is longer than that described in the Taiwan Highway Capacity Manual, thereby indicating that Taiwanese drivers are willing to accept longer delay time for different levels of service at signalised intersections.
    Transportation Research Part A Policy and Practice 12/2013; 58:54–66. · 2.73 Impact Factor
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    ABSTRACT: Workplace stress (WS) has been found to affect job satisfaction (JS), performance, and turnover intentions (TIs) in developed countries, but there is little evidence from other countries and especially rural areas. In rural Taiwan, especially, there is an insufficient health care workforce, and the situation is getting worse. To demonstrate the relationship, we used a cross-sectional structured questionnaire, and data from 344 licensed professionals in 1 rural regional hospital were analyzed using the structural equation model. The results showed that WS had a positive effect on both TI and job performance (JP) but a negative effect on satisfaction. JS did improve performance. For the staff with an external locus of control, stress affected JP and satisfaction significantly. For the staff with lower perceived job characteristics, JS affected performance significantly. The strategies to decrease stress relating to work load, role conflict, family factors, and working environment should be focused and implemented urgently to lower the turnover rate of health care workers in rural Taiwan.
    Asia-Pacific Journal of Public Health 10/2013; · 1.06 Impact Factor
  • Chih-Wei Pai, Rong-Chang Jou
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    ABSTRACT: Literature has suggested that bicyclists' red-light violations (RLVs) tend not to cause accidents although RLV is a frequent and typical bicyclist's behaviour. High association between bicyclist RLVs and accidents were, however, revealed in Taiwan. The current research explores bicyclists' RLVs by classifying crossing behaviours into three distinct manners: risk-taking, opportunistic, and law-obeying. Other variables, as well as bicyclists' crossing behaviours, were captured through the use of video cameras that were installed at selected intersections in Taoyuan County, Taiwan. Considering the unobserved heterogeneity, this research develops a mixed logit model of bicyclists' three distinct crossing behaviours. Several variables (pupils in uniform, speed limit with 60km/h) appear to have heterogeneous effects, lending support to the use of mixed logit models in bicyclist RLV research. Several factors were found to significantly increase the likelihood of bicyclists' risky behaviours, most notably: intersections with short red-light duration, T/Y intersections, when riders were pupils in uniform, when riders were riding electric bicycles, when riders were unhelmeted. Implications of the research findings, and the concluding remarks, are finally provided.
    Accident; analysis and prevention 10/2013; 62C:191-198. · 1.65 Impact Factor
  • Rong-Chang Jou, Chung-Wei Kuo, Mei-Ling Tang
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    ABSTRACT: In recent years, due to the rapid growth rate of Taiwanese aviation traffic volume and the air traffic controllers’ (ATCs) unique job characteristics (ATCs is a profession job that involves heavy stress), leading to a shortage of ATCs. The paper offers an empirical study about the sources of pressure that make ATCs in Taiwan want to leave their jobs. Besides, another contribution of this study is to explore the relationships between turnover tendencies and two important factors, job stress and job satisfaction, among Taiwanese ATCs. We apply a path technique to analyze the proposed relationship model. The empirical results show that job satisfaction has a mediating effect on the relationships between the sources of job stress and turnover tendency. Additionally, the workload of job stressors had the most effect on turnover tendency, followed by family factors and job satisfaction. Work environment and role conflict were found to have indirect rather than direct effects on turnover tendency as mediated by job satisfaction. The results can provide valuable insights into the management of ATCs.
    Transportation Research Part E Logistics and Transportation Review 10/2013; 57:95–104. · 2.27 Impact Factor
  • Rong-Chang Jou, Chih-Wei Pai, Pei-Lung Wang
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    ABSTRACT: A triple-bounded dichotomous choice (TBDC) structure and Spike models are applied to investigate the amount of money Taiwan automobile drivers are willing to pay for five types of moving violations, including local street speeding, expressway and freeway speeding, red light running, right turn on red, and drink-driving. Face-to-face survey was conducted at freeway rest areas by targeting passenger car drivers. The Spike model, superior to other tradition models by capturing excessive zero responses, is applied and the estimated results show that speeders would accept willingness to pay (WTP) of US$37 and US$48,(1) respectively, for local roads and expressways and highways, while red-light runners would accept a WTP of US$44, drivers who turn right on red would accept a lower WTP of US$9, and drunk drivers will accept a WTP as high as US$597. Interestingly, the difference in WTP for drunk driving between drivers and motorcyclists is significant, while others are not.
    Accident; analysis and prevention 05/2013; 59C:55-63. · 1.65 Impact Factor
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    ABSTRACT: This study develops an electronic toll collection (ETC) disaggregate choice model based on a large-scale questionnaire survey of car drivers in Taiwan. To acknowledge the difference in preferences among car drivers, the latent class logit model is used to classify respondents into different groups without subjective segmentation. The estimation results show that six groups of car drivers are optimally distinguished. The price of an e-pass and the discount for ETC tolls are identified as the two most important factors affecting ETC adoption. The study also finds that significant differences in adoption behaviours exist among groups. Effective marketing strategies for different groups are then proposed accordingly.
    Transportation Research Part E Logistics and Transportation Review 01/2013; 49(1):266–280. · 2.27 Impact Factor
  • Rong-Chang Jou, Pei-Lung Wang
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    ABSTRACT: This study uses three-level scenario design and Spike model constructs to investigate the risk premium Taiwan motorcycle operators are willing to pay for moving violations. The primary focus of the investigation is on four types of moving violations including speeding, running red lights, right turn on red violations, and drunk driving. In the model, these four types of violations influence the willingness to pay a risk premium. The results show that, in addition to increasing enforcement, raising the level of fines is one of the most effective methods to influence levels of compliance. Estimated results through the Spike model show that speeders will accept a risk premium of NT$740 (US$1=NT$30), while motorcycle operators who run red lights will accept a risk premium of NT$1100, motorcycle operators who turn right on red will accept a risk premium of NT$367, and motorcyclists who drive drunk will accept a risk premium of NT$18,540. This indicates that current fines in Taiwan could be raised.
    Accident; analysis and prevention 11/2012; 49:177-85. · 1.65 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper investigates the relationship between medical treatment costs and the length of hospital stays resulting from motorcycle crashes involving the elderly. The World Health Organization defines 'elderly' as people more than 65 years old. The sample for this study consisted of data for the year 2007 collected by the Bureau of National Health Insurance, Taiwan. We develop models for predicting medical costs and the length of hospital stays based on diagnosis, hospital and user types. The seemingly unrelated regression equation (SURE) model was applied first to investigate the relationship between medical costs and the length of hospital stays. The SURE model shows that the type of injury (e.g. head injury) is statistically significant and has positive effects on medical costs for motorcycle crashes involving the elderly in Taiwan. Due to the statistical insignificance of the dependency between medical costs and length of hospital stays, two separate simple linear regression models were subsequently estimated. For motorcycle crashes, patients over 80 years old had the highest medical costs. The findings reinforce the need for transportation authorities to focus on preventing certain types of injuries that are particularly serious and costly for the elderly in Taiwan.
    International Journal of Injury Control and Safety Promotion 09/2012; · 0.67 Impact Factor
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    ABSTRACT: â–º The asymmetric threshold cointegration test was used in this study. â–º Relationship between household income and vehicle ownership in Taiwan was examined. â–º Motorcycle ownership was asymmetrically cointegrated with household income. â–º Car ownership was asymmetrically cointegrated with household disposable income. â–º Both car and motorcycle ownership increase faster than they decrease in the long run.
    Transportation Research Part A: Policy and Practice. 05/2012; 46(4).
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    ABSTRACT: â–º We apply the contingent valuation method to estimate the willing-to-pay toll rate. â–º The spike model is adopted to avoid estimation errors. â–º Three models for short, medium and long travel distance are estimated and compared.
    Transportation Research Part A: Policy and Practice. 03/2012; 46(3).
  • Rong-Chang Jou, Tsu-Hurng Yeh, Rong-Sin Chen
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    ABSTRACT: To assess the impact of the following factors on rider fatality: rider's age, gender, licensing status, accident liability, use of helmet, alcohol consumption, vehicle class, road conditions, presence of passengers, and passenger injuries. Data on motorcycle accidents in Taiwan between 2006 and 2008 were analyzed. A logistic regression model was used to establish a fatality risk model for motorcyclists and investigate high-risk factors for motorcyclist fatality. Higher fatality rates among motorcycle riders correlate with the following factors: male, older, unlicensed, not wearing a helmet, riding after drinking, and driving heavy (i.e., above 550 cc) motorcycles. In addition, motorcyclists involved in nighttime, nonurban single-vehicle accidents have a higher risk of death, and lone riders have a higher risk of death in accidents than do riders carrying passengers. The seriousness of passenger injury also correlates positively with the rider's risk of death. Nearly 60 percent of all driving fatalities in Taiwan involve motorcycles. Consideration of factors behind the high frequency and risk of motorcycle deaths, specifically rider age above 60 years, not wearing a motorcycle helmet, riding after drinking, and driving without a valid license, could help in the development of effective traffic safety management measures.
    Traffic injury prevention 03/2012; 13(2):155-62.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Motorcycle activity in Asian economies is a significant contributor to carbon dioxide (CO2) emissions, both when moving and when idling at traffic lights. This paper investigates Taiwanese motorcyclists’ behavior of turning off the idling engine while stopping at traffic lights based on the theory of planned behavior (TPB), which recognizes that the achievement of voluntary change behavior can be identified by knowing an individual's attitudes (or behavioral intentions [BIs]) in the context of social norms (SN). A structural equation model system is used to identify candidate causal links between attitudes, SN, BI and behavior related to the idling stop behavior of motorcyclists. A partial least squares (PLS) model is built to correct the covariance matrix, given the relatively small sample size. Results suggest that attitudes, SN and perceived behavioral control, are significant determinants of idling stop BI at red lights.
    Transportation Planning and Technology 07/2011; 34(5):487-495. · 0.43 Impact Factor
  • Rong-Chang Jou, Chih-Cheng Chen, Yung-Lin Chen
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    ABSTRACT: In the past decades, some major cities around the world have faced various traffic problems caused by the highway infrastructure supply shortage compared with overwhelming vehicle growth. Constructing new highway systems is unlikely to mitigate this problem since available land is limited. On the other hand, physically increasing the supply of transportation systems would cause increased traffic demand, and consequently, the traffic problems may not be improved or resolved. Therefore, managing traffic requires using Transportation (or Travel) Demand Management (TDM). TDM has been one of the main strategies used to improve traffic problems in major cities around the world. In this study, the level of satisfaction towards the existing TDM strategies for road users in Taipei city is explored. As for the strategies not yet implemented, the level of acceptance is also analysed. Finally, a stated choice experiment is carried out to capture the traveller's choice behaviour under different scenarios of TDM strategies. We apply the nested logit model to analyse the satisfaction and acceptability with executed and unexecuted TDM strategies, compare the similarities and dissimilarities within work, shopping and leisure trips and discuss the relationship between variables. We find that travellers agree that disincentive strategies, also known as ‘Sticks’, could solve the problems of traffic jams, but their acceptance or satisfaction is lower than their feeling of effectiveness of TDM strategies. Besides, shortening the travel time of mass transportation tools is an important factor to increase travellers’ willingness to use them.
    Transportmetrica 05/2011; 7(3):201-228. · 1.36 Impact Factor

Publication Stats

179 Citations
64.61 Total Impact Points

Institutions

  • 2004–2014
    • National Chi Nan University
      Nantow, Taiwan, Taiwan
    • Tokyo Institute of Technology
      • Department of Civil Engineering
      Edo, Tōkyō, Japan
  • 2013
    • Taipei Medical University
      T’ai-pei, Taipei, Taiwan
  • 2011
    • R.D. University
      Jubbulpore, Madhya Pradesh, India
  • 2005
    • Nanyang Technological University
      • School of Civil and Environmental Engineering
      Tumasik, Singapore
  • 2001
    • Feng Chia University
      臺中市, Taiwan, Taiwan