Rong-Chang Jou

R.D. University, Jubbulpore, Madhya Pradesh, India

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Publications (59)107.09 Total impact

  • Rong-Chang Jou · Tzu-Ying Chen ·
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    ABSTRACT: In this study, willingness to pay (WTP) for loss of productivity and consolation compensation by parties to traffic accidents is investigated using the Tobit model. In addition, WTP is compared to compensation determined by Taiwanese courts. The modelling results showed that variables such as education, average individual monthly income, traffic accident history, past experience of severe traffic accident injuries, the number of working days lost due to a traffic accident, past experience of accepting compensation for traffic accident-caused productivity loss and past experience of accepting consolation compensation caused by traffic accidents have a positive impact on WTP. In addition, average WTP for these two accident costs were obtained. We found that parties to traffic accidents were willing to pay more than 90% of the compensation determined by the court in the scenario of minor and moderate injuries. Parties were willing to pay approximately 80% of the compensation determined by the court for severe injuries, disability and fatality. Therefore, related agencies can use our study findings as the basis for determining the compensation that parties should pay for productivity losses caused by traffic accidents of different types.
    Accident; analysis and prevention 09/2015; 85:1-12. DOI:10.1016/j.aap.2015.08.021 · 1.65 Impact Factor
  • Yu-Chiun Chiou · Rong-Chang Jou · Cheng-Han Yang ·
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    ABSTRACT: As the number of private vehicles grows worldwide, so does air pollution and traffic congestion, which typically constrain economic development. To achieve transportation sustainability and continued economic development, the dependency on private vehicles must be decreased by increasing public transportation usage. However, without knowing the key factors that affect public transportation usage, developing strategies that effectively improve public transportation usage is impossible. Therefore, this study respectively applies global and local regression models to identify the key factors of usage rates for 348 regions (township or districts) in Taiwan. The global regression model, the Tobit regression model (TRM), is used to estimate one set of parameters that are associated with explanatory variables and explain regional differences in usage rates, while the local regression model, geographically weighted regression (GWR), estimates parameters differently depending on spatial correlations among neighbouring regions. By referencing related studies, 32 potential explanatory variables in four categories, social-economic, land use, public transportation, and private transportation, are chosen. Model performance is compared in terms of mean absolute percentage error (MAPE) and spatial autocorrelation coefficient (Moran’ I). Estimation results show that the GWR model has better prediction accuracy and better accommodation of spatial autocorrelation. Seven variables are significantly tested, and most have parameters that differ across regions in Taiwan. Based on these findings, strategies are proposed that improve public transportation usage.
    Transportation Research Part A Policy and Practice 08/2015; 78. DOI:10.1016/j.tra.2015.05.016 · 2.79 Impact Factor
  • Rong-Chang Jou · Tzu-Ying Chen ·
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    ABSTRACT: This study explores highway travellers' willingness to pay (WTP) for external costs caused by traffic accidents. There are a number of further external costs, the paper focuses on two externalities: air pollution and time delays. Data collection was performed using the face-to-face survey method, and the surveys were carried out at highway rest areas. Air pollution and time delays were divided into three levels of severity (light, moderate and severe) to obtain the interviewees' WTP according to each level of severity. The result of this study demonstrates that there are many samples with zero WTP because penalties for pollution caused by traffic accidents are not currently enforced in Taiwan. Thus, the spike model was adopted in this study to overcome any estimation error that might be caused by excessive NT$0 WTP samples. The results show that variables such as age, education, income and willingness to participate in activities of environmental protection have a positive effect on WTP for air pollution, whereas variables such as occupation, travel purpose, traveller identity, travel time and travel distance have a significantly positive effect on WTP for time delays. WTP for nitrogen dioxide (NO2) is NT$8862-11,502/metric ton (US$1 = NT$30) and WTP for carbon dioxide (CO2) is NT$1070-2693/metric ton. Moreover, WTP for time delays is NT$960-1320/h. The findings of this study not only demonstrate WTP for air pollution and time delays in the minds of parties to traffic accidents but also help to provide agencies with a basis to formulate applicable penalties in the future.
    Sustainability 06/2015; 7(6):7310-7332. DOI:10.3390/su7067310 · 0.94 Impact Factor
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    Yu-Chiun Chiou · Rong-Chang Jou · Chu-Yun Kao · Chiang Fu ·

  • Rong-Chang Jou · Tzu-Ying Chen ·
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    ABSTRACT: An important source of anthropogenic greenhouse gas (GHG) emissions is the air transport sector, which accounts for approximately 2% of global GHG emissions. Therefore, reducing GHG emissions from aircrafts has become a major challenge for transportation authorities worldwide. In recent years, much research has focused on tax ideas related to the CO2 emissions produced by air transport, such as the voluntary carbon offset (VCO). This study investigates the willingness of economy class air passengers to pay to compensate for the CO2 emissions produced during their journeys from Taiwan to Hong Kong. Together with the Spike model, a framework known as the contingent valuation (CV) method offers a way to investigate how much the air passenger would be willing to pay to offset a journey's airplane-generated CO2 emissions. The Spike model was applied to address the problem of zero willingness to pay (WTP). The results obtained in this study are consistent with the results found in previous studies and therefore can provide valuable insights into pricing strategies for airlines.
    Sustainability 03/2015; 7(3):3071-3085. DOI:10.3390/su7033071 · 0.94 Impact Factor
  • Ping-Ling Chen · Chih-Wei Pai · Rong-Chang Jou · Wafaa Saleh · Ming-Shin Kuo ·
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    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; 75. DOI:10.1016/j.aap.2014.11.016 · 1.87 Impact Factor
  • 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(1):88–99. DOI:10.1016/j.tra.2014.05.002 · 2.79 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. DOI:10.1016/j.trd.2014.05.003 · 1.94 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 06/2014; 67:21–29. DOI:10.1016/j.aap.2014.02.003 · 1.65 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; 62. DOI:10.1016/j.tra.2014.02.004 · 2.79 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. DOI:10.1016/j.tra.2014.02.011 · 2.79 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. DOI:10.1016/j.tranpol.2013.11.001 · 1.72 Impact Factor
  • Rong-Chang Jou · David Hensher · Ke-Hong Chen ·
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    ABSTRACT: Taiwanese drivers, like most drivers, often exceed the legal speed limit and expose themselves to the risk of fine. Although the propensity to exceed the legal speed limit is common in many counties, it is of interest to understand the amount that drivers are willing to pay for driving faster than the law permits. This may provide useful guidance on the extent to which current fines are adequate as a deterrent to speeding. In this paper, the contingent valuation method (CVM) is used to measure drivers' preferences and to estimate econometric models to determine Taiwanese drivers' willingness to pay (WTP) for driving faster than the law allows. Given the high incidence on a zero WTP, a spike model is used to capture this phenomenon. The study identifies some key influences on WTP such as the personal income, the presence/absence of past violations, the risk tolerance of the driver, and the proportion of time spent on the roads where the driver exceeded the speeding limit last year. On average, the freeway drivers in various locations in Taiwan were willing to pay between $43 and $51 for driving faster than the law allows.
    Transportation Letters The International Journal of Transportation Research 01/2014; 6(1):14-22. DOI:10.1179/1942787513Y.0000000007 · 0.53 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. DOI:10.1016/j.tra.2013.10.009 · 2.79 Impact Factor
  • Ming-Che Chao · Rong-Chang Jou · Cing-Chu Liao · Chung-Wei Kuo ·
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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; 27(2). DOI:10.1177/1010539513506604 · 1.46 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. DOI:10.1016/j.tre.2013.01.009 · 2.68 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. DOI:10.1016/j.aap.2013.09.008 · 1.65 Impact Factor
  • Rong-Chang Jou · Cheng-Chen Kou · Yi-Wen Chen ·
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    ABSTRACT: This study considers driver perception to assess further the level of service (LOS) at signalised intersections. Motorcycle riders and car drivers are the main focus of this investigation. Videos of different LOSs were pre-recorded and later presented to the respondent in the survey. An ordered probit model was used to estimate the effects of important factors on the driver's perception toward different LOSs at a signalised intersection. The results obtained from the model demonstrate that trip-, socioeconomic-, road-related characteristics (e.g., pavement condition, geometric design, traffic control), and weather conditions are all significant variables influencing the driver's perception towards different LOSs at a signalised intersection. Our results can provide a reference when planners and other authorities assess the LOSs at signalised intersections.
    Transportation Research Part A Policy and Practice 08/2013; 54:141-154. DOI:10.1016/j.tra.2013.07.013 · 2.79 Impact Factor
  • Rong-Chang Jou · Ke-Hong Chen ·
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    ABSTRACT: A computer-aided survey was designed and conducted face-to-face with freeway drivers in Taiwan to gauge the demand for and reasonable pricing of customized real-time traffic information in the event of three different traffic conditions. Bivariate ordered probit models were estimated to investigate factors that significantly influence the demand for traffic information both for main freeways and secondary alternative routes. The results indicated that the demand for traffic information for non-recurring conditions was the strongest of the factors investigated. Basic information was the main type of information requested for normal and recurring conditions, whereas dynamic travel time prediction was the main type of information requested for non-recurring conditions. The estimation results from bivariate ordered probit models showed that by providing node-to-node information and encouraging a greater willingness to pay for information the demand for traffic information about main freeways and secondary alternative routes will increase. Finally, the significant and positive correlations of models imply that the greater the demand for traffic information about main freeways, the greater the demand for information about secondary alternative routes.
    Transportation Research Part C Emerging Technologies 06/2013; 31:62–72. DOI:10.1016/j.trc.2013.02.011 · 2.82 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. DOI:10.1016/j.aap.2013.05.005 · 1.65 Impact Factor

Publication Stats

473 Citations
107.09 Total Impact Points


  • 2011-2015
    • R.D. University
      Jubbulpore, Madhya Pradesh, India
  • 2004-2015
    • National Chi Nan University
  • 2000-2001
    • Feng Chia University
      臺中市, Taiwan, Taiwan