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Sudan transport study model (Inglês)

This is the seventh in the series of Transport Planning Models Study papers. The Lockheed model places transportation sector and project planning in a general planning framework which facilitates comparison between transport and nontransport projects. Transport projects and projects in other sectors are ranked heuristically according to multiple objectives and criteria, political and social and well as economic. A regional economic model is used to generate surplus and deficit zones for each major transport commodity, and three transport submodels are used to determine: (1) the costs and performance on each link; (2) the optimum route for each origin-destination flow; and (3) the optimum interzonal distribution of traffic flows. The implementation timing of potential transport projects may be tentatively determined by a mixed linear and integer programming routine in the route optimization model, but the implementation ultimately recommended by the model depends on the project's rank vis-a-vis projects in other sectors and on available funds. Congestion costs are not considered in the model, but there is a fixed capacity constraint for each segment of the transport network in the route assignment model.


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    Sudan transport study model

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    total number of vehicle;Internal rate of return;Operational Core Curriculum;number of vehicles;goods in transit;vehicle operating cost;per capita consumption;regional economic model;availability of fund;cost of vehicle;transport allocation;average transit time;linear programming model;cost and performance;oils and fat;animal resource development;per capita income;debt service ratio;diffusion of technology;transport cost;investment requirement;trade model;vehicle type;transport demand;road link;round trip;transport network;vehicle requirement;construction cost;road maintenance;transport investment;project identification;rail vehicle;linear combination;craft items;production center;foreign fund;transportation problem;integer programming;total consumption;capacity constraint;city dweller;capacity limit;capital recovery;capital budget;macroeconomic model;soil type;transportation sector;transport rate;domestic saving;interest cost;transport planning;transport capacity;foreign currency;surface type;Proposed Investment;vehicle ownership;road class;regional output;storage charge;adjustment factor;passenger time;inventory cost;storage cost;farm land;computer program;consumption pattern;consumption equation;standard deviation;base period;optimum vehicle;exponential distribution;minimum inventory;transport charge;capital loss;expected value;equipment investment;productive capacity;engineering study;vehicle availability;purchase price;variable cost;air transport;vehicle maintenance;road vehicle;consumption good;simulation model;regional income;transportation study;government planning;Cash flow;raw material;sugar product;economic sector;goods transport;rail link;agricultural yield;disposable income;export sector;finished product;economic stability;urban development;manufactured products;regional production;investment fund;income growth;public objective;political objective;national investment;income redistribution;tariff charge;excess supply;vehicle cost;project studies;bank staff;optimization model;transport model;mathematical model;political stability;regional location;foreign consultant;short distance;public transportation mode;vehicle class;basic consumption;regional demand;



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