FORECASTING HIGH-SPEED RAIL RIDERSHIP

摘要: Advantages and disadvantages of various high-speed rail (HSR) ridership forecasting approaches are summarized, a recommended approach is presented. The involves the use separate relationships to estimate diversion from each existing mode HSR. This makes behavioral information travelers have already provided by their revealed preferences modes for intercity trips. choice current specific trip purposes reveals great deal about how individuals value attributes that relative other modes. also in estimating induced demand. presented here has been used HSR revenue Florida, Texas, Northeast Corridor. To illustrate different factors influence demand HSR, model results along with implied values time selected elasticities. variation between market segments components travel cost strong evidence this necessary ridership. resulting models shown be transparent providing design new applications can maximize ridership, revenue, or public benefits justify subsidies