A PRACTICAL SEGMENTATION STRATEGY TO INCREASE RIDE SHARING
A segmentation strategy to increase ridesharing would first identify those people most likely to switch from auto to a particular form of ride sharing and then to concentrate the promotional budget upon this segment using messages and appeals emphasizing the attributes considered salient by the segment. The proposed methodology for identifying "switchable" individuals is to look at the statistical significance of the individual mode choice probabilities generated by a logit model. The method is explained and then applied to a real world data set. The empirical data tend to support the proposed approach. (a) (TRRL)
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
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Corporate Authors:
Pergamon Press, Incorporated
Headington Hill Hall
Oxford OX30BW, -
Authors:
- Gensch, D H
- Publication Date: 1981-7
Media Info
- Features: References; Tables;
- Pagination: p. 331-337
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Serial:
- Transportation Research Part A: Policy and Practice
- Volume: 15A
- Issue Number: 4
- Publisher: Elsevier
- ISSN: 0965-8564
- Serial URL: http://www.sciencedirect.com/science/journal/09658564
Subject/Index Terms
- TRT Terms: Mathematical models; Mode choice; Policy; Probability; Publicity; Ridesharing; Statistical analysis; Taxi services; Taxicabs; Transportation modes
- Uncontrolled Terms: Probabilistic analysis; Selection; Shared taxi; Use
- Old TRIS Terms: Modal selection; Segmentation
- ITRD Terms: 6473: Mathematical model; 173: Policy; 8573: Publicity; 9072: Selection; 1129: Shared taxi; 1145: Transport mode; 9084: Use
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Policy; Public Transportation; I71: Traffic Theory; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00345208
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- Files: ITRD, TRIS
- Created Date: Mar 30 1982 12:00AM