Freight Demand Characteristics and Mode Choice: An Analysis of the Results of Modeling with Disaggregate Revealed Preference Data

نویسندگان

  • FEI JIANG
  • PAUL JOHNSON
چکیده

Considerably less research has been done on modeling freight demand with disaggregate discrete models than on modeling passenger demand. The principal reason for this imbalance is the lack of freight demand data. Freight demand characteristics are expensive to obtain and are sometimes confidential. This paper analyzes the freight demand characteristics that drive modal choice by means of a large-scale, national, disaggregate revealed preference database for shippers in France in 1988, using a nested logit. Particular attention is given to private transportation (own account transportation) and combined public and private transportation. After aggregation and validation of discrete choice models, the influence of demand characteristics on freight modal choice is analyzed. The maximum probability of choosing public road transportation takes place at approximately 700 kilometers, while that of choosing rail transportation take place at 1,300 kilometers. Freight Demand Characteristics and Mode Choice: An Analysis of the Results of Modeling with Disaggregate Revealed Preference Data

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تاریخ انتشار 2000