BREAKDOWN AND MEASUREMENT EFFECTS METHOD OF CORRELATIVE EXPLANATORY VARIABLES
In transport analysis in order to explain the changes of a factor we generally have to deal with several correlative explanatory variables. Quantifying how each variable affects the study object is therefore often difficult. Although this is a familiar problem in the context of modelling it is frequently poorly handled. In a situation like this change in the study object cannot always be expressed in a simple manner as the sum or product of the changes in the explanatory variables. To deal with this question the authors have proposed a method to break down and measure the effect of each explanatory variable. The paper starts with a description of the method and then applies it to the case of changes in the market share of public transport. For the covering abstract see ITRD E108404.
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Authors:
- Bonnel, P
- CABANNE, I
- Conference:
- Publication Date: 2000
Language
- English
Media Info
- Features: References;
- Pagination: p. 205-25
Subject/Index Terms
- TRT Terms: Correlation analysis; Modal split; Motor vehicles; Ownership; Planning; Scale models; Structural models; Urban areas
- ITRD Terms: 6527: Correlation (math, stat); 675: Modal split; 6205: Model (not math); 143: Planning; 313: Urban area; 315: Vehicle ownership
- Subject Areas: Bridges and other structures; Data and Information Technology; Planning and Forecasting;
Filing Info
- Accession Number: 00807299
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- ISBN: 0-86050-341-0
- Files: ITRD
- Created Date: Apr 4 2001 12:00AM