Now showing items 1-20 of 29

    • Air travel demand and airline seat inventory management 

      Belobaba, Peter (Cambridge, MA : Flight Transportation Laboratory, Massachusetts Institute of Technology, [1987], 1987)
      Many airlines practice differential pricing of fare products that share a common inventory of available seats on an aircraft. Seat inventory management is the process of limiting the number of seats made available to each ...
    • Airline competition analysis 

      Taneja, Nawal K. ([Cambridge, Mass.] : Massachusetts Institute of Technology, Flight Transportation Laboratory, [1968], 1968)
      Introduction: The purpose of this study is to investigate how airlines share the passengers, attracted to air transportation. The percentage of these passengers, that one airline will carry in any given market, where it ...
    • Airline network seat inventory control : methodologies and revenue impacts 

      Williamson, Elizabeth Louise ([Cambridge, Mass. : Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics], Flight Transportation Laboratory, [1992], 1992)
      In the airline industry, it is customary for carriers to offer a wide range of fares for any given seat in the same cabin on the same flight. In order to control the number of seats made available in each fare class, ...
    • An application of advanced statistical techniques to forecast the demand for air transportation 

      Mathaisel, Dennis F. X.; Taneja, Nawal K. (Cambridge, Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory, [1977], 1977)
      Introduction and objectives: For some time now regression models, often calibrated using the ordinary least-squares (OLS) estimation procedure, have become common tools for forecasting the demand for air transportation. ...
    • Application of the calculus of variations in determining optimum flight profiles for commercial short haul aircraft 

      Gallant, Robert Alfred ([Cambridge, Mass.] : Massachusetts Institute of Technology, Flight Transportation Laboratory, 1966, 1966)
      The method of steepest descent of the calculus of variations is used to determine the optimal flight profile of a hypothetical tilt wing aircraft travelling a distance of 50 miles. Direct operating cost, (as derived from ...
    • The ASNA formula : a new concept -- cost per passenger mile (kilometer) 

      Nasr, Asad (Cambridge Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory, [1978], 1978)
      The demand for air transport is affected by the usual extraneous factors, demographic, social and economic, as well as those falling properly within the sphere of the industry itself such as the quality of service, safety, ...
    • Assessment of the potential diversion of air passengers to high-speed rail in the northeast corridor 

      Clarke, Michael D. D. ([Cambridge, Mass. : Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics], Flight Transportation Laboratory, [1994], 1994)
      The high level of intercity passenger travel in the Northeast Corridor is supported by densely populated metropolitan city-centers, the suitable distance between the urban areas, and the extent to which economic and social ...
    • Comparison of optimization techniques for origin-destination seat inventory control 

      Williamson, Elizabeth Louise ([Cambridge, Mass. : Massachusetts Institute of Technology], Flight Transportation Laboratory, [1988], 1988)
      Airlines have recently realized the importance of an effective seat inventory control system on revenues and profits. Yet, at the same time, there is a lack of practical optimization models for determining the number of ...
    • Demand models for U.S. domestic air passenger markets 

      Eriksen, Steven Edward; Eriksen, Steven Edward. (Cambridge, Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory, 1978, 1978)
      The airline industry in recent years has suffered from the adverse effects of top level planning decisions based upon inaccurate demand forecasts. The air carriers have recognized the immediate need to develop their ...
    • Effect of fare and travel time on the demand for domestic air transportation 

      Eriksen, Steven Edward; Liu, Elliott Wu-Hsun. (Cambridge, Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory ; [1979], 1979)
      Introduction: One of the axioms in the air transportation industry is that advances in technology have led to a greater amount of passenger travel by air. Improvements in airframe and engine design have increased range, ...
    • Evaluation of forecasting techniques for short-term demand of air transportation 

      Wickham, Richard Robert ([Cambridge, Mass. : Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics], Flight Transportation Laboratory, [1995], 1995)
      Forecasting is arguably the most critical component of airline management. Essentially, airlines forecast demand to plan the supply of services to respond to that demand. Forecasts of short-term demand facilitate tactical ...
    • The impact of high inflation rates on the demand for air passenger transportation 

      Vitek, Richard Leo; Taneja, Nawal K. (Cambridge, Mass. : Flight Transportation Laboratory, Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, [1975], 1975)
      The impact of high inflation rates on the demand for domestic air passenger transportation is tested in a demand model using time-series data and linear and non-linear least squares regressions with Revenue Passenger Miles ...
    • Impact of videoconferencing on the demand for air travel 

      Mette, Matthias (Cambridge, MA : Massachusetts Institute of Technology, Flight Transportation Laboratory, 1995, 1995)
      Videoconferencing is widely seen as the form of modern telecommunications having the largest potential to impact the growth of business air travel demand. Most existing studies focus on the substitutional effect of enhanced ...
    • Leg-based heuristic methods to network seat inventory control 

      Tan, Jin C. ([Cambridge, MA : Massachusetts Institute of Technology], Flight Transportation Laboratory, c1994, c1994)
      Driving the development of increasingly sophisticated methods of seat inventory control are the complex fare and route structures evident in airline operations today. Most control methods are currently based on an individual ...
    • A method for determination of optimum vehicle size and frequency of service for a short haul V/STOL air transport system 

      Simpson, R. W.; Neuve Eglise, Michel J. (Cambridge, Mass. Massachusetts Institute of Technology, Flight Transportation Laboratory, [1968], 1968)
      To compete successfully in short haul markets under 200 miles, an air transport system must offer a high daily frequency of service, N, as well as short air travel times. In a given market, N can be increased by using ...
    • A model for forecasting future air travel demand on the North Atlantic 

      Taneja, Nawal K. (Cambridge, Mass. Massachusetts Institute of Technology, Flight Transportation Laboratory, [1971], 1971)
      Introduction: One of the key problems in the analysis and planning of any transport properties and facilities is estimating the future volume of traffic that may be expected to use these properties and facilities. Estimates ...
    • New directions for forecasting air travel passenger demand 

      Garvett, Donald Stephen; Taneja, Nawal K. (Cambridge, Mass. : Flight Transportation Laboratory, Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, 1974, 1974)
      While few will disagree that sound forecasts are an essential prerequisite to rational transportation planning and analysis, the making of these forecasts has become a complex problem with the broadening of the scope and ...
    • Presentations from the 1992 MIT/industry cooperative research program annual meeting 

      Williamson, Elizabeth Louise.; Svrcek, Tom.; Simpson, R. W.; Waldman, Gary L.; Mathaisel, Dennis F. X.; e.a. ([Cambridge, Mass. : Massachusetts Institute of Technology], Flight Transportation Laboratory, [1992], 1992)
    • Presentations from the 1994 MIT/industry cooperative research program annual meeting 

      Achtmann, Eric D.; Belobaba, Peter.; Tan, Jin C.; Fedida, Fabien.; Farkas Andrs̀; e.a. ([Cambridge : Massachusetts Institute of Technology], Flight Transportation Laboratory, [1994], 1994)
    • Presentations from the 1995 MIT/industry cooperative research program annual meeting. 

      Wong, Keewah Gary.; Belobaba, Peter.; Farkas Andrs̀; Mathaisel, Dennis F. X; Wilson, John L.; e.a. ([Cambridge : Massachusetts Institute of Technology], Flight Transportation Laboratory, [1995], 1995)