01594810

Component

https://doi.org/10.3141/2564-13

Transport user benefits are of great importance in cost–benefit analysis when transport projects are appraised. Generally, these benefits have the greatest effect on the results of cost–benefit analyses. It is common to adopt the consumer surplus for calculating transport user benefits. The consumer surplus measure is based on the underlying demand model and follows from the integration of the demand curve. If the popular logit model is used for forecasting travel demand, a consumer surplus measure takes a closed form that is easy to calculate. Furthermore, in cost–benefit analyses the change in consumer surplus between an initial and final state is needed; the change can be easily derived by the difference of the logsums of the two states. This logsum approach is proven and correct for travel demand models based on the logit model without multiple constraints. However, for travel demand models dealing with two or more sets of constraints, the logsum approach fails. In this paper, a mathematical approach is described for a transport user benefits measure that corresponds to the consumer surplus and is universal for all travel demand models with constraints. The measure for a doubly constrained trip distribution is derived. The applicability of the derived approach is shown by a simple example.

01624690

16-1879

English

pp 118–126

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441452

Print

References (25) ; Tables (5)

Benefit cost analysis; Consumers; Logits; Mathematical models; Travel demand

Economics; Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Jan 12 2016 4:49PM

• Activity-Based Travel Demand Modeling Framework FEATHERS: Sensitivity Analysis with Decision Trees
• Assumptions Inherent in Assessing Traffic Forecast Accuracy
• Choice Set Imputation in Atomistic Spatial Choice Models
• Exploring the Role of Location in Dynamics of the Birth and Death of Business Establishments: Case Study Analysis of Santa Barbara County, California
• Integrated Mode Choice and Dynamic Traveler Assignment in Multimodal Transit Networks: Mathematical Formulation, Solution Procedure, and Large-Scale Application
• Integration of a Capacity-Constrained Workplace Choice Model: Recent Developments and Applications with an Agent-Based Simulation in Singapore
• Journey Levels in Strategy-Based Transit Assignment: Modeling Integrated Transit Fares and More
• Microsimulation of Demand and Supply of Autonomous Mobility On Demand
• Modeling Carsharing with the Agent-Based Simulation MATSim: State of the Art, Applications, and Future Developments
• Simulated Effects of the Location of High-Speed Rail Stations on Land Development: Case Study of the Lisbon Metropolitan Area, Portugal
• Transportation Planning Through Peer-to-Peer Modeling
• Travel Plans for New Residential Developments: Measuring Self-Selection Effects to Better Understand Travel Behavior Impacts
• Trend-Breaking Influences of Built Form on Travel in UK Cities: Evidence from New Quantifications of Within- and Between-Built-Form Variations
• Using Predicted Bicyclist and Pedestrian Route Choice to Enhance Mode Choice Models