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Railroad cost performance model (Inglês)

This paper is one of a series of papers from the Transport Planning Models Study. The overall objective of the study is the continuing investigation of mathematical models developed for use in transport planning. The study will analyze existing transport models, revise and extend the models where practical, and develop new models where needed. An evaluation of the models will include their application in transport planning studies and a critical review of the methodology. This paper is based on Appendix 4 of the Harvard University Transport Research Program report "An Analysis of Investment Alternatives in the Colombian Transport System". The Harvard presentation has been amplified by including sample computer inputs and outputs, a listing of the computational equations, and a dictionary of terms. This paper is expository in nature; no attempt has been made to critically evaluate the model.

Detalhes

  • Data do documento

    1970/02/28

  • TIpo de documento

    Documento de trabalho sobre o pessoal

  • No. do relatório

    SWP63

  • Nº do volume

    1

  • Total Volume(s)

    1

  • Data de divulgação

    2010/07/12

  • Disclosure Status

    Disclosed

  • Nome do documento

    Railroad cost performance model

  • Palavras-chave

    number of cars;rolling stock;waiting time;fuel consumption rate;average daily traffic;total maintenance cost;rise and fall;vehicle load factor;volume of traffic;vehicle equipment;cost and performance;centralized traffic control;cost of car;cost of fuel;overhead cost;lubricating oil;commodity group;import tax;capital recovery;train speed;weighted average;fuel cost;depreciation costs;average speed;single track;rail link;switching system;foreign exchange;general cargo;registration fee;internal data;total tonnage;vehicle characteristic;speed limitation;basic cost;routine maintenance;bulk cargo;rail transport;square foot;transport planning;vehicle requirement;tax revenue;average cost;special order;increased investment;rail equipment;traffic demand;rail system;average values;transportation network;railroad engineering;shipping charge;g 7;specialized equipment;oil tax;Gasoline Tax;cost categories;oil cost;car usage;depreciation charge;equipment cost;air resistance;box car;remote control;simulation model;cost data;data tables;exogenous input;physical characteristic;real value;variable cost;efficiency factor;cost information;operational demands;train use;bank staff;project studies;mathematical model;transport model;

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