Ministry of Transportation and Communications

Zhongxing New Village, Taiwan

Ministry of Transportation and Communications

Zhongxing New Village, Taiwan
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Lin T.-K.,National Chiao Tung University | Chang Y.-S.,Ministry of Transportation and Communications
Mechanical Systems and Signal Processing | Year: 2017

The fact that hydraulic problems are major factors in bridge collapse has made bridge scour monitoring an important research topic. In view of the complex nonlinear behavior of bridge structure/soil/water interactions, the fundamental frequency of the bridge may gradually change as the height of the bed drops during scour. With an insufficient embedded depth, the bridge may collapse or sink unexpectedly without warning. As experimental investigation in past research has shown that bridge failure may be governed by rigid body motion, a real-time bridge scour monitoring system to distinguish the influence of rigid body motion from the vibration frequency of the bridge is proposed. The signal measured from the superstructure of the bridge is decomposed into a structural vibration set controlling the fundamental frequency change and a rigid body motion set controlling the rigid body motion, and an instability index to examine the safety condition of the bridge is further proposed. Following a successful preliminary single-pile scour experiment, the method is applied to a series of full-bridge testing. According to analysis result, the instability index deviated considerably from its original range before the bridge piles began tilting significantly, allowing an early warning alert for bridge safety evaluation. © 2016 Elsevier Ltd


Chen M.-C.,National Chiao Tung University | Chen L.-S.,Chaoyang University of Technology | Wei Y.,Ministry of Transportation and Communications
2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017 | Year: 2017

This paper applies both Empirical Mode Decomposition (EmD) and Ensemble Empirical Mode Decomposition (EEMD) to extract the EMD and EEMD components from a data set of passenger flows of a station in the metro system, and illustrates the time variants of short-term passenger flow for this data sets. The results indicate that the extracted meaningful EEMD components reveal a more unique pattern than the extracted meaningful EMD components. The patterns of these EEMD components of passenger flow in the metro system are more specific and can be explained more easily for management purposes. © 2017 IEEE.


Tseng C.-M.,Ministry of Transportation and Communications | Chang H.-L.,National Chiao Tung University | Woo T.H.,National Chiao Tung University
Accident Analysis and Prevention | Year: 2013

The purpose of the present study was to verify the motivational factors underlying the theory of planned behavior (TPB) predicting the driving behavior of lifetime driving license revoked offenders. Of a total of 639 drivers whose licenses had been permanently revoked, 544 offenders completed a questionnaire constructed to measure attitudes toward behaviors, subjective norms, perceived behavioral control, behavioral intentions (the key constructs of the TPB), and previous driving habit strength. The finding of the study revealed that an offenders' driving behavior after a lifetime license revocation was significantly correlated to behavioral intention (R = 0.60, p < 0.01), perceived behavioral control (R = 0.61, p < 0.01), previous driving habit (R = 0.44, p < 0.01), and attitude (R = 0.41, p < 0.01). There was no evidence that subjective norms including road regulation, society ethics, and people important to offenders had an influence on driving behavior (R = 0.03). Low driving habit strength offenders are motivated to drive because of behavioral intention, whereas strong driving habit strength offenders are motivated to drive because of perceived behavioral control. Previous driving habit strength is a moderator in the intention-behavior relationship. The model appeared successful when previous habits were weak, but less successful when previous habits were strong. © 2012 Elsevier Ltd.


Cheng H.-C.,National Taipei University | Chen M.-C.,National Chiao Tung University | Mao C.-K.,Ministry of Transportation and Communications
Industrial Management and Data Systems | Year: 2010

Purpose: The primary aim of this paper is to investigate the evolutionary process and collaboration within Taiwan's cut-flower supply chains. The paper also go on to discuss the enablement of supply chain coordination through information technology (IT) adoption and network effects, as well as performance improvements achieved by the introduction of the wholesale information sharing hotline (WISH) system. Design/methodology/approach: This paper examines the evolutionary process in Taiwan's cut-flower supply chains from a macro-study perspective, based upon primary data obtained from in-depth interviews. The paper also applies multiple regression analyses from a micro-study perspective, in order to gain insights into the evolution of market share within the supply chains, thereby facilitating the investigation of the effectiveness of the WISH system. Findings: The results reveal that the auction houses are heavily dependent upon reliable sources of supply, and that in the earlier stages of the evolutionary process, they played a mediating role in the formulation of auction lines based upon retailer demand through the adoption of the e-auction mechanism. Since then, the operational performance of the auction houses has been improved considerably, with horizontal coordination being supported by information sharing through the WISH system. The network effect is found to have a positive correlation with the number of participants within the system. Originality/value: This paper focuses specifically on the evolutionary process of the cut-flower supply chains in Taiwan, examining the simultaneous achievement of both vertical and horizontal collaboration through the advancement of IT. © 2010 Emerald Group Publishing Limited.


Chang H.-L.,National Chiao Tung University | Woo T.H.,National Chiao Tung University | Tseng C.-M.,Ministry of Transportation and Communications | Tseng I.-Y.,Beijing University of Posts and Telecommunications
Accident Analysis and Prevention | Year: 2011

This study explored the driving behaviors and crash risk of 768 drivers who were under administrative lifetime driver's license revocation (ALLR). It was found that most of the ALLR offenders (83.2%) were still driving and only a few (16.8%) of them gave up driving completely. Of the offenders still driving, 67.6% experienced encountering a police roadside check, but were not detained or ticketed by the police. Within this group, 50.6% continued driving while encountering a police check, 18.0% of them made an immediate U-turn and 9.5% of them parked and exited their car. As to crash risk, 15.2% of the ALLR offenders had at least one crash experience after the ALLR had been imposed. The results of the logistic regression models showed that the offenders' crash risk while under the ALLR was significantly correlated with their personal characteristics (personal income), penalty status (incarceration, civil compensation and the time elapsed since license revocation), annual distance driven, and needs for driving (working, commuting and driving kids). Low-income offenders were more inclined to have a crash while driving under the ALLR. Offenders penalized by being incarcerated or by paying a high civil compensation drove more carefully and were less of a crash risk under the ALLR. The results also showed there were no differences in crash risk under the ALLR between hit-and-run offences and drunk driving offences or for offenders with a professional license or an ordinary license. Generally, ALLR offenders drove somewhat more carefully and were less of a crash risk (4.3 crashes per million km driven) than legal licensed drivers (23.1 crashes per million km driven). Moreover, they seemed to drive more carefully than drivers who were under short-term license suspension/revocation which previous studies have found. © 2011 Elsevier Ltd.


Maldonado U.P.T.,Ministry of Transportation and Communications | Khan G.F.,Korea Advanced Institute of Science and Technology | Moon J.,Seoul National University | Rho J.J.,Korea Advanced Institute of Science and Technology
Online Information Review | Year: 2011

Purpose - The purpose of this paper is to: empirically validate a modified unified theory of acceptance and use of technology (UTAUT) model by adding an "e-learning motivation" construct in the South American context; try to determine the role of e-learning motivation in the use and adoption of e-learning systems and conversely the effect of technology on students' e-learning motivation; and to test region and gender as moderators in the model. Design/methodology/approach - A survey method was used to collect data from 47 schools located at different regions: the coast, Andes, and jungle of Peru. The partial least square technique was used for data analysis. Findings - It was found that "e-learning motivation" and "social influence" had a positive influence on behavioural intention, while "facilitating condition" had no effect on e-learning portal use. Furthermore, use behaviour had a positive influence on e-learning motivation. Also found was the moderating role of "region". Research limitations/implications - The analysis is carried out in a single country, thus, caution should be taken in generalisation of the results. Practical implications - The findings will help policy makers and practitioners in developing countries to better understand students' e-learning motivation. Originality/value - By adopting the UTAUT model, a new construct of "e-learning motivation" is added, and applied to the South American context. Copyright © 2011 Emerald Group Publishing Limited.


Tseng C.-M.,Ministry of Transportation and Communications
Accident Analysis and Prevention | Year: 2013

This study explored the determinant factors of taxi drivers' speeding violations in Taiwan. Data were gathered from a nation wide survey and included 6923 professional taxi drivers in 2006. The results indicated that 96.6% were males and 92.5% had less than a college level education. Daily working hours were from 2.5 h to 15 h with a mean of 10.12 h. The data also indicated that taxi drivers worked approximately 27.35 days and only took 2.65 days rest per month. Of the observed taxi drivers, 25.6% reported at least one speeding violation in a one-year period. The results of a generalized linear model (GLM) revealed that the determinant factors associating with a taxi driver's speeding violation were not related to gender or educational level. However, age, job experience, operating styles, kilometers driven daily, driving late at night, and monthly off duty days were significantly associated with committing the speeding violations. © 2012 Elsevier Ltd.


Speeding is the most common driving violation and a determinant factor contributing to both the number and severity of accidents. This study explored speeding violations based on a national cohort of 8129 adult male drivers in the one-year period of 2008. The analysis focused on the relationships between self-reported speeding violations and social-economic attributes: age, educational attainment, income level, yearly driving distance and the most frequent driving purpose (major driving purpose such as commuting and leisure or shopping). Of the 8129 observed drivers, 19.1% (1552 drivers) were ticketed at least once for a speeding violation. Drivers aged 40-49 possess the lowest speeding risk (speeding tickets per million kilometers), and both younger and older drivers have relatively higher speeding risk. The results of the logistic regression model revealed that speeding violations were significantly associated with the attributes of age, education, income, yearly driving distance and the most frequent driving purposes. The most frequent driving purposes for business (odds. = 1.930, p= 0.016) and leisure (odds. = 1.566, marginally significant p= 0.096) were associated with a higher speeding risk compared with the most frequent driving purpose for shopping. © 2013 Elsevier Ltd.


Yeh M.-S.,Feng Chia University | Tseng C.-M.,Ministry of Transportation and Communications | Liu H.-H.,Feng Chia University | Tseng L.-S.,Feng Chia University
Transportation Research Part F: Traffic Psychology and Behaviour | Year: 2015

Females choosing taxi driving as a career is rare, therefore, investigating such samples is often difficult. Speeding is one of the most common driving violations, however, there has been no research looking into female taxi drivers' speeding issue. This study explores the factors of female taxi drivers' speeding offenses in Taiwan. Data is based on a national survey and includes 235 professional female taxi drivers. The results indicate that female taxi drivers work approximately 27.37 days per month, at a mean of 9.76 h per day. Of the female taxi drivers represented in this study, 22.8% reported at least one speeding offense over a one-year period. The results of a logistic regression model reveal that the determinant factors associated with female taxi drivers' speeding offenses are significantly related to age, educational level and mileage driven. However, job experience, business operating style, and vehicle engine size are not associated with committing speeding offenses. Practical implications for traffic safety of female taxi drivers are also discussed. © 2015 Elsevier Ltd. All rights reserved.


Tseng C.-M.,Ministry of Transportation and Communications | Yeh M.-S.,Feng Chia University | Tseng L.-Y.,Feng Chia University | Liu H.-H.,Feng Chia University | Lee M.-C.,Feng Chia University
Transportation Research Part F: Traffic Psychology and Behaviour | Year: 2016

Much research has demonstrated that speeding is the most common offense among car drivers. However, few studies have focused on this offense among drivers of large trucks. This paper investigates the factors that lead to speeding offenses for drivers of large trucks in Taiwan. The study sample consisted of information for 2101 male large-truck drivers from a national survey in 2012. The results revealed that drivers' daily working hours ranged from 2 to 15 h with a mean of 9.67 h, and that they worked for approximately 25.23 days - and rested only 4.77 days - per month. Among these observed drivers, 11.6% reported having at least one speeding offense over a one-year period. The results of a logistic regression model presented that the factors that influenced speeding offense were not related to job experience. Rather, the driver's demographics (age and education), mental condition (sleep quality), and driving status (yearly distance driven and driving late at night) were significantly linked to speeding offenses. © 2016 Elsevier Ltd. All rights reserved.

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