2011Applied Mechanics and MaterialsOpen access

Research on the Rail Transit Station Spacing Based on Passenger Travel Choice

Qi Dai, Yuan Fu Li, Fang Wang, Ying Wang

Open full text 1 citations

Abstract

From the traveler’s view, this paper uses random utility theory of the disaggregate model to construct travelers transportation choice model, employ software STATA to calibrate parameter for getting utility function for prediction, and then employ the critical condition which make rail transit and regular transit coordinated to calculate reasonable rail transit station spacing. Finally, example is given, the results show that rail transit station spacing based on passenger travel choice, make rail transit and regular transit to achieve harmonization and complementarities, and improve overall operating efficiency of urban transit system.

About this research paper

What this paper is about

From the traveler’s view, this paper uses random utility theory of the disaggregate model to construct travelers transportation choice model, employ software STATA to calibrate parameter for getting utility function for prediction, and then employ the critical condition which make rail transit and regular transit coordinated to calculate reasonable rail transit station spacing. Finally, example is given, the results show that rail transit station spacing based on passenger travel choice, make rail transit and regular transit to achieve harmonization and complementarities, and improve overall operating efficiency of urban transit system.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

From the traveler’s view, this paper uses random utility theory of the disaggregate model to construct travelers transportation choice model, employ software STATA to calibrate parameter for getting utility function for prediction, and then employ the critical condition which make rail transit and regular transit coordinated to calculate reasonable rail transit station spacing. Finally, example is given, the results show that rail transit station spacing based on passenger travel choice, make rail transit and regular transit to achieve harmonization and complementarities, and improve overall operating efficiency of urban transit system.

Key concepts: Transit (satellite), Rail transit, Transport engineering, Urban rail transit, Function (biology), Urban transit, Engineering, Public transport

Related papers

Back to paper searchBrowse research topicsOriginal source
Research on the Rail Transit Station Spacing Based on Passenger Travel Choice — Research Paper | ScholarLens