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Title:

Multimodal Public Transport Demand: A Cointegration Time-Series Approach

Accession Number:

01479253

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper investigates the demand in a multimodal public transportation context. Demand is expressed as a function of operational and macroeconomic factors and is analyzed using a time-series cointegration and error correction approach. This allows for treating non stationary data and for determining short term and long term elasticities and at the same time estimating the speed of convergence from the short to the long term effects. As expected, short run elasticities appear lower than the long run ones, possibly because in the short run changes in explanatory factors are smaller and because behavior is governed by resistance to change. Fare and income appear to have the greatest impact on public transport demand and also the greatest difference between short and long run elasticities.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ80 Statistical Methods.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-3910

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Milioti, Christina P
Karlaftis, Matthew G

Pagination:

19p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Subject Areas:

Economics; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-3910

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:45PM