270 COLLEGE OF MANAGEMENT DEPARTMENT OF TRANSPORTATION MANAGEMENT Degrees Offered: B.A., M.S. Chair: Liu, Shih-Sien ( 劉 士 仙 ) The Department Established in 1986, the Department of Transportation Management aims to help students develop their expertise in diverse transportation fields, including highway, railway, waterway, aviation, and urban transportation, in order to fulfill the needs of human resources for national economic development. Furthermore, to enhance the quality of advanced research and decision making in transportation and related industries, the graduate program not only focuses on the theories of transportation science but also emphasizes problem solving, and has recruited qualified candidates since 1995. Courses offered in the undergraduate program emphasize fundamental disciplines of transportation and management science, whereas the graduate program focuses on the theoretical aspects of transportation courses, as well as interdisciplinary technologies and practicalities. In addition, three special programs of intelligent transport systems (ITS), logistics, and environmental science are flexibly embedded in course design for students to choose for their future career. Faculty Professors Chang Yue-Cune( 張 玉 坤 ); Chen Wan-Hui ( 陳 菀 蕙 ); Yau, Jong-dar ( 姚 忠 達 ) Associate Professors Chang, Sheng-hsiung ( 張 勝 雄 ); Chen, Wan-Hui ( 邱 顯 明 ); Fan, Chun-hai ( 范 俊 海 ); Liu, Shih-Sien ( 劉 士 仙 ); Luo, Shiaw-shyan ( 羅 孝 賢 ); Mi, Fu-kuo( 米 復 國 ); Shing, Chi-lyang ( 辛 其 亮 ); Tao, Chi-chung ( 陶 治 中 ) ; Tong, Chee-chung ( 董 啟 崇 ) Assistant Professors Hsu, Chao-che ( 許 超 澤 ); Wen, Yuh-horng ( 溫 裕 弘 ) Degree Requirements 1. Requirements for a Bachelor of Science degree: The Bachelor of Science degree is awarded after completion of 136 credits, with 95credits of required courses and 20 credits of transportation related courses. 2. Requirements for a Master of Science degree: The Master of Science degree is awarded after completion of 33 credits. Students are also required to write a thesis with the approval of the committee after the oral examination. Course Descriptions Undergraduate Courses B0319 Transportation Economics (2/2): Transportation Economics is a branch of economics that deals with the allocation of resources within the transportation system. Transportation economics is the discipline concerned with the economic aspects of transportation problems, and involves the systematic analysis of transportation systems. B0320 Transportation (2/2): The purpose of this course is to introduce students to the internal elements, external environment, and basic issues of transportation systems. This course will focus on the user s behaviour, system characteristics, and elements and operations of traveller/freight transportation systems, which include highway, railway, maritime, and air transportation.
COLLEGE OF MANAGEMENT 271 E0543 Urban and Regional Planning (3/0): This course aims to apply multi-media methods to demonstrate key issues regarding city and regional planning. A series of planning concepts will first be introduced and then contemporary urban development issues will be discussed. E0665 Transportation Engineering (2/2): This course provides an introduction to the major areas of traffic engineering and transportation planning. It is suitable for upper-level undergraduates. E1028 Computer Application on Transportation (3/0): This course draws on the Statistical Analysis System (SAS) as a basis for explaining transportation problems and thereby enhancing the problem-solving skills of senior students. Course content includes a demonstration of basic SAS operations, hypothesis formulation of transportation problems, regression analysis, factor analysis, and structural equation modelling (SEM). M0070 Traffic Engineering ( 0/3 ) : This course comprises three sections, including basic characteristics of traffic systems, capacity analysis, and signal control analysis. It provides basic training in the field of traffic engineering. M0153 Operations Research (3/3): This course is an introduction to the basic operations, research procedures, and basic deterministic models in operations research. It covers the linear programming model, transportation problem model, assignment problem model, integer programming, and network models. M0258 Transportation Management Seminar (0/1): This course provides graduate students from our department with practical knowledge and information through the holding of regular keynote speeches. In additional to speeches, the course also helps students understand concepts of knowledge management in the field of transportation. It also demonstrates how to complete a final term paper by working together in a team. M0356 Transportation System Analysis (0/3): The first stage of this course focuses on the problem-solving process and model formulation in the field of transportation through various case studies. The second stage will emphasise demand analysis and alternative evaluation. M0360 Transportation Planning (3/0): This course covers trip demand forecasting and network analysis and their extended applications. The purpose of transportation planning is to establish an efficient, economical and balanced transportation system, while reducing its impact on the environment. The result of achieving this is a transportation system that moves smoothly and safely in transporting both people and freight. M0404 Management Mathematics (2/2): Management Mathematics (Linear Algebra) is a fundamental part of modern mathematics in the field of management science. This course provides a basic introduction to the concepts and techniques of linear algebra and its essential applications to the science of management decision. M0431 Transportation & Storage Management (0/3): This course covers physical distribution systems, logistic systems, transportation, and facility and inventory decision in logistics. M0482 Business Administration in Transportation (3/0): The purpose of this course is to introduce key concepts of management and their applications to business administration. In the first half of the semester, fundamentals of management including planning, organization, leading and governance are introduced. In the second half of the semester, students will learn how to write a successful business plan. M0523 Law and Administration of Communication (3/0): This course introduces the basic concepts/principles of administration law and the content of major transportation administration laws. M0572 Traffic Control Design (3/0): The purpose of this course is to introduce the theory and methodology of traffic control design. In the first half of the semester, we focus on theories and design
272 COLLEGE OF MANAGEMENT methodologies of intersections. In the second half of the semester, we will discuss traffic control issues related to freeways and apply traffic control design software to complete several case studies. M0593 Applied Statistics in Transportation (2/2): This course emphasizes the applications of statistical methods to the various topics related to transportation. Two statistical analysis software tools (EXCEL and SAS) are used for data processing and data analysis to learn how statistical methods are applied to the professional field of transportation. M0607 Highway Geometric Design (0/2): Introduction to highway functions, considerations of corridor s selection, design controls and criteria, horizontal alignment design, vertical alignment design, cross section design, intersection and interchange design, introduction to computer aids for highway geometrical design. M0671 Transportation Environment Impact Evaluation (0/3): This course introduces overall issues of environment impact assessment (EIA) due to transportation development. Course content includes a comparison of different systems of assessment and their ability to affect environmental acts, land use and traffic impact analysis, city landscape and aesthetics, noise measurement and management, habitat impact analysis, and cultural conservation and its evaluation. M0692 Transportation Safety Analysis (0/3): This course introduces laws of responsibility related to traffic accidents. Students will learn basic concepts of legal responsibility and legal issues in road traffic accidents. It also teaches students how to assess culpability in traffic accidents by searching for critical evidence in the field. M0869 The Management of Ports (0/3): The aim of this course is to introduce basic concepts of shipping ports, as well as facilities and cargo-handling equipment located at ports. We discuss different types of ports and provide students with a clearer picture of how port management works. Students will learn about the procedures that occur when a ship arrives at a port, the storage of cargo at ports, vessel surveys, tonnage measurement, port operator management and port traffic structures. M0870 International Freight Transportation (3/0): Through instruction and team discussions, students learn about daily operations of global liner and tramp services as well as air cargo & logistics. The course links theory to practice to cultivate students professional ability in the field of international freight transportation. M1039 Intelligent Transportation System (3/0): Course content includes fundamental concepts, international trends, ITS-related technologies, application areas and users service units, master plans and system architecture, issues of standardization, application cases, and benefit assessments. M1142 Railway Transportation (0/3): This course introduces various system technologies and forms of railway transportation. The course provides students with fundamental knowledge on railway transportation that will help them in future research or practical work. M1173 Commercial Vehicle Operation (3/0): An introduction to basic structure and management theory of commercial vehicle operation and transportation regulation. The course presents a series of cases studies that offer insights into industrial characteristics and topics and policies for each type of commercial vehicle. M1220 Communication Technology in Transportation (0/3): This is a basic professional class that teaches students about communication technology, global trends of Intelligent Transportation Systems (ITS), telemetric and car electronics. In addition, students will also gain experience in teamwork and practical communication. M1747 Sustainable Transportation (0/2): This course explores key issues of sustainability of transportation systems by considering global climate changes. The first part involves understanding the concept sustainable development. Then, students are presented with an introduction to the interrelated disciplines of transportation, environment, technology, ecology, sociology, politics, and economics. Finally, students are required to work in a team to conduct field surveys by using qualitative or
COLLEGE OF MANAGEMENT 273 quantitative methods to evaluate transportation sustainability in Taiwan. M1748 Travel Behaviour Science (3/0): The purpose of this course is to introduce the theory and practice of transportation behaviour. In the first half semester, psychology and behavioural science are examined. In the second half-semester, related transportation behavioural problems are discussed and their connection with current issues is explored. M1834 Transportation Marketing Management and Public Relations (3/0): The purpose of this course is to introduce the theory and practice of marketing and public relationship management in the field of transportation. In the first half-semester, marketing management and public relations are examined. In the second half-semester marketing management and public relations problems are discussed and their relationship with current issues is also explored. M1900 Computer Programming (2/2): This course aims to train students to understand basic logical concepts, to develop basic computer programming skills, and to use VB to develop basic computer programs. M1923 Public Transportation ( 0/3 ) : This course introduces the elements and operational characteristics of public transportation, including buses, mass transit systems, Paratransit, and new transportation systems such as public bicycle systems. The elements discussed in this course include vehicles, routes, stations, and control and management systems. The alternatives for improving the performance of public transportation are also discussed in this course. M2016 Operation and Management of Highway Passengers Transport (0/2): This lesson is designed to improve students understanding of the operations and management of transportation, and to increase students interest in this academic field. It also provides students with a chance to learn practical knowledge relevant to their future careers and become planners and managers or highway bus operators. Master s Program E0769 Mathematical Programming (0/3): This course introduces how to formulate a general problem in Mathematics. Moreover, various types of theorems and their associated algorithms are summarized. E1188 Transportation Network Analysis (3/0): This course provides an introduction to basic structures and solution technologies used in transportation network analysis. The basic theoretical development and solution procedure of each fundamental transportation network algorithm are discussed in this course, to provide students with training in the field of basic transportation networks. M0181 Systems Simulation (0/3): System simulation is a set of techniques for using computers to imitate or simulate the operations of various kinds of real-world processes. This course will be conducted in three parts. The first involves basic concepts of systems and simulations. The second covers general simulation methodologies; and the third pertains to applications of systems simulation techniques in transportation and traffic engineering fields. M0668 Airport Planning and Design (0/3): This course introduces fundamentals of airport planning and design. The first part is an overview of aircraft characteristics related to airport operation. Part two focuses on the airport traffic control principle and operation including capacity computations. Planning issues are introduced in the third session, including planning at different levels, site selection, and demand forecasting. Finally, geometric designs and traffic control devices will be discussed. M0795 Advanced Transportation Planning (0/3): This course focuses on in-depth discussions of the traditional sequential four-step transportation planning model, also known as FSM. Issues and problems associated with each step of the FSM will be illustrated and examined beyond undergraduate level. Advanced topics of consistency, dynamic models will also be covered. M0873 Transportation System Analysis (Ι) (3/0): This course will introduce systematic
274 COLLEGE OF MANAGEMENT system analysis and its application to the transportation system. A framework of transportation analysis will be illustrated along with all related model components. Theories and specifications of disaggregate demand modelling will be discussed, including those of specification and estimate issues. M0874 Systems Analysis in Transportation II (3/0): Various traffic assignment problems will be introduced in this course, including the very basic definition and models to the advanced dynamic and/or stochastic assignment problems. M0924 Transportation Research Methods (I) (3/0): This course explores the principles and the way of thinking and research methods of social science. It also provides basic training for thesis writing. M0925 Transportation Research Methods (II) (0/2): This course provides a foundation for transportation research. It offers a basic introduction to the concepts and techniques of transportation research methods and some of its signification applications in transportation management decision science. It also provides survival guidelines to graduate students for conducting research, formulating research topics, research methodologies and approaches, and learning how to write proposal and thesis. M1079 Operation Management of Mass Transportation (0/3): This course introduces the planning, operation and management of public transportation. Course content includes data collection, headway determination, time table development, vehicle scheduling, service design, network design, and future development. M1107 Intelligent Transport and Communication Technologies (3/0): The purpose of this course is to introduce key technologies and their applications to the Intelligent Transportation System (ITS). In the first half of the semester, remote sensing, GPS, GIS and communication technologies are examined. In the second half of the semester, related ITS applications emerging with these technologies are discussed and their connection with telemetric, cloud computing and internet of things is also explored. M1464 Traffic Flow and Traffic Control Theory (3/0): This course offers a basic introduction to traffic engineering. It describes kinds of traffic conditions and explains the applications of the Traffic Control Model. This course covers statistical models, car-following theory, shock wave analysis and queuing theory. M1656 Global Logistics Management (3/0): This course examines knowledge related to global logistics management. In addition, it discusses basic concepts, methodologies, and strategic planning issues of global supply chain management. The course discusses issues concerning global supply chains, international logistics, global transportation planning, intermodalism, integrated logistics, advanced information technologies and future development. During the course, several practical case studies will be introduced. M1688 Spatial Analysis and Location Theory (0/3): This course aims to introduce general regional and spatial theories as well as analytical methods. It is also designed to further prepare students to apply systematic analysis to practical case studies to enhance their abilities in independent thinking and their research capabilities. M1692 Solution Algorithms for Transportation Planning (0/3): This course comprises two sections: computer programming algorithms and research methodologies. Course content includes: 1. Computer programming process using VB, C++, and others. 2. Research methodologies, including neural networks, fuzzy theory, genetic algorithm and cellular automata. M1721 Traffic Engineering Practice (3/0): The purpose of this course is to explore the traffic characteristics of the various types of highway and problems they faced in urban area. In addition, all the possible improvement measures or policies will be discussed to improve their efficiency and safety. With the comprehensive understanding of the associated methodologies, practices and legal issues, the course should provide students basic ability to handle various traffic problem in urban highway and street system.
COLLEGE OF MANAGEMENT 275 M1983 Applied Data Analysis (3/0) The main contents of this course include the development and evaluations of regression models and ANOVA models. This course emphasizes the applications statistical methods to transportation topics using statistical software (SAS) for understanding how statists applied to the professional fields of transportation.