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  • 1 202J: Demand Modeling

    3.00 Credits
    Massachusetts Institute of Technology

    Theory and application of modeling and statistical methods for analysis and forecasting of demand for facilities, services, and products. Topics include: review of probability and statistics, estimation and testing of linear regression models, theory of individual choice behavior, derivation, estimation, and testing of discrete choice models (including logit, nested logit, GEV, probit, and mixture models), estimation under various sample designs and data collection methods (including revealed and stated preferences), sampling, aggregate forecasting methods, and iterative proportional fitting and related methods. Lectures reinforced with case studies, which require specification, estimation, testing, and analysis of models using data sets from actual applications. Prerequisite:    Prereq: 1.201 or permission of instructor
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  • 1 203J: Logistical and Transportation Planning Methods

    3.00 Credits
    Massachusetts Institute of Technology

    Quantitative techniques of operations research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, and pickup and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, and emergency repair services). Unified study of functions of random variables, geometrical probability, multi-server queuing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. Computer exercises and discussions of implementation difficulties. Prerequisite:    Prereq: 6.041
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  • 1 204: Computer Modeling: From Human Mobility to Transportation Networks

    3.00 Credits
    Massachusetts Institute of Technology

    Theory and application for modeling individual travels at a country scale. Reviews mathematical methods to describe random movement. Presents statistical methods to identify the structure inherent in daily behavior, with models that can accurately analyze, predict, and cluster multimodal data from individuals within a population; algorithms to model and characterize complex networks; applications of network theory to transportation and road networks; and models of aggregated travels and its implications in spreading dynamics. Lectures reinforced with case studies, which require analysis using data sets from actual applications. Prerequisite:    Prereq: 1.001, 1.010; or permission of instructor
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  • 1 205J: Advanced Demand Modeling

    3.00 Credits
    Massachusetts Institute of Technology

    Advanced theories and applications of models for analysis and forecasting of users' behavior and demand for facilities, services, and products. Topics vary each year and typically include linear and nonlinear latent variable models, including structural equations and latent class models; estimation techniques with multiple data sources; joint discrete and continuous choice models; dynamic models; analysis of panel data; analysis of complex choices; estimation and forecasting with large choice sets; multidimensional probabilistic choice models; advanced choice models, including probit, logit mixtures, treatment of endogeneity, hybrid choice models, hidden Markov models, Monte Carlo simulation, Bayesian methods, survey design, sampling, model transferability, and use of stated preferences data. Term paper required Prerequisite:    Prereq: 1.202 or permission of instructor
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  • 1 212J: An Introduction to Intelligent Transportation Systems

    3.00 Credits
    Massachusetts Institute of Technology

    Presents basic elements of intelligent transportation systems. Considers technological, systems and institutional aspects of ITS, including system architecture, congestion pricing, public/private partnerships, network models, freight, public transportation, ITS and regional transportation strategy, environmental and safety aspects of ITS, developing country applications, and implementation case studies. Term project required. Prerequisite:    Prereq: Permission of instructor
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  • 1 231J: Planning and Design of Airport Systems

    3.00 Credits
    Massachusetts Institute of Technology

    Focuses on current practice, developing trends, and advanced concepts in airport design and planning. Considers economic, environmental, and other trade-offs related to airport location, as well as the impacts of emphasizing ?green? measures. Includes an analysis of the effect of airline operations on airports. Topics include demand prediction, determination of airfield capacity, and estimation of levels of congestion; terminal design; the role of airports in the aviation and transportation system; access problems; optimal configuration of air transport networks and implications for airport development; and economics, financing, and institutional aspects. Special attention to international practice and developments. Prerequisite:    Prereq: Permission of instructor
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  • 1 232J: The Airline Industry

    3.00 Credits
    Massachusetts Institute of Technology

    Overview of the global airline industry, focusing on recent industry performance, current issues and challenges for the future. Fundamentals of airline industry structure, airline economics, operations planning, safety, labor relations, airports and air traffic control, marketing, and competitive strategies, with an emphasis on the interrelationships among major industry stakeholders. Recent research findings of the MIT Global Airline Industry Program are showcased, including the impacts of congestion and delays, evolution of information technologies, changing human resource management practices, and competitive effects of new entrant airlines. Taught by faculty participants of the Global Airline Industry Program. Prerequisite:    Prereq: None
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  • 1 233J: Air Transportation Operations Research

    3.00 Credits
    Massachusetts Institute of Technology

    Presents a unified view of advanced quantitative analysis and optimization techniques applied to the air transportation sector. Considers the problem of operating and managing the aviation sector from the perspectives of the system operators (e.g., the FAA), the airlines, and the resultant impacts on the end-users (the passengers). Explores models and optimization approaches to system-level problems, airline schedule planning problems, and airline management challenges. Term paper required. Prerequisite:    Prereq: 16.71, 6.431, 15.093, or permission of instructor
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  • 1 234J: Airline Management

    3.00 Credits
    Massachusetts Institute of Technology

    Overview of airline management decision processes, with a focus on economic issues and their relationship to operations planning models and decision support tools. Application of economic models of demand, pricing, costs, and supply to airline markets and networks. Examination of industry practice and emerging methods for fleet planning, route network design, scheduling, pricing and revenue management, with emphasis on the interactions between the components of airline management and profit objectives in competitive environments. Students participate in a competitive airline management simulation game as part of the subject requirements. Prerequisite:    Prereq: 16.71J
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  • 1 251J: Comparative Land Use and Transportation Planning

    3.00 Credits
    Massachusetts Institute of Technology

    Focuses on the integration of land use and transportation planning, drawing from cases in both industrialized and developing countries. Reviews underlying theories, analytical techniques, and the empirical evidence of the land use-transportation relationship at the metropolitan, intra-metropolitan, and micro-scales. Also covers the various ways of measuring urban structure, form, and the "built environment." Develops students' skills to assess relevant policies, interventions and impacts. Prerequisite:    Prereq: Permission of Instructor
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