Browsing by Author "Jou, Rong-Chang"

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Factors affecting public transportation usage rate: Geographically weighted regression
(2015-08-01)
Chiou, Yu-Chiun
;
Jou, Rong-Chang
;
Yang, Cheng-Han
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
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. (C) 2015 Elsevier Ltd. All rights reserved.
Freeway drivers' willingness to pay for an on board unit under an electronic toll collection system
(2013-02-01)
Jou, Rong-Chang
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Chiou, Yu-Chiun
;
Kuo, Chung-Wei
;
Tan, Hao-I
;
運輸與物流管理系註：原交通所+運管所
Electronic toll collection (ETC) systems have been put into practice in one or two channels at toll plazas on Taiwan's freeways since 2006. The utilisation of the ETC system has been flat due to the extra cost of installing the on board unit (OBU) that is used in the system. To increase the utilisation rate of the ETC system, it is crucial to understand the real price that drivers are willing to pay. Therefore, this study investigates freeway drivers' willingness to pay a value for an OBU. A stated preference experiment is designed to obtain the willingness to pay at three different levels of use. To avoid the estimation bias due to a large percentage with a zero willingness to pay, a spike model is used. Different markets are segmented to examine their willingness to pay for an OBU. The estimation results show that the willingness to pay for an OBU is NT$727/unit(1) for short distance drivers, NT$830 for medium distance drivers, and NT$1308/unit for long distance drivers. (C) 2012 Elsevier Ltd. All rights reserved.
Freeway drivers' willingness-to-pay for a distance-based toll rate
(2012-03-01)
Jou, Rong-Chang
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Chiou, Yu-Chiun
;
Chen, Ke-Hong
;
Tan, Hao-I
;
運輸與物流管理系註：原交通所+運管所
This paper applies the contingent valuation method to investigate and estimate the toll rate that freeway drivers are willing-to-pay (WTP) for each unit of distance they travel, after switching from per-entry based to distance-based tolling system. Due to a large portion of respondents who are unwilling to pay a toll at all, we adopt the spike model to avoid estimation errors. The estimation results show that average willingness to pay toll is TWD1 0.86/km, which can be refined further to TWD 0.81/km for short distance travelers. TWD 0.93/km for medium distance travelers, and TWD 0.97/km for long distance travelers. Additionally, the WTP toll rate of short distance travelers is significantly different on public holidays but not during peak hours. In contrast, the WTP toll rates of medium and long distance travelers significantly different during peak hours but not on public holidays. (C) 2011 Elsevier Ltd. All rights reserved.
Impacts of impression changes on freeway driver intention to adopt electronic toll collection service
(2011-12-01)
Jou, Rong-Chang
;
Chiou, Yu-Chiun
;
Ke, Ju-Ching
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This paper proposes conceptual frameworks incorporating technology acceptance model, theory of planned behavior and three additional constructs - impression changes, attitude of government, and risk to investigate the factors affecting freeway driver intention to adopt electronic toll collection service for both users and nonusers of electronic toll collection. The proposed frameworks are unique because of the incorporation of media and word-of-mouth effects to represent the impression changes, respectively. The respondents were specifically asked about their impressions of electronic toll collection related policies and strategies spread through media and word-of-mouth before and after electronic toll collection operation. Estimated results obtained from structural equations modeling validate that impression changes in both media and word-of-mouth exhibit significant direct or indirect effects on freeway driver intention to adopt electronic toll collection service. Corresponding strategies to enhance electronic toll collection adoption rate are then proposed accordingly. (C) 2011 Elsevier Ltd. All rights reserved.
The adoption behaviours of freeway electronic toll collection: A latent class modelling approach
(2013-01-01)
Chiou, Yu-Chiun
;
Jou, Rong-Chang
;
Kao, Chu-Yun
;
Fu, Chiang
;
運輸與物流管理系註：原交通所+運管所
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. (C) 2012 Elsevier Ltd. All rights reserved.
The adoption behaviours of freeway electronic toll collection: A latent class modelling approach
(2013-01-01)
Chiou, Yu-Chiun
;
Jou, Rong-Chang
;
Kao, Chu-Yun
;
Fu, Chiang
;
運輸與物流管理系註：原交通所+運管所
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. (C) 2012 Elsevier Ltd. All rights reserved.