Abstract
This paper reports on one aspect of a study conducted to support the analysis of the performance of a proposed intercity rail passenger service in the Piedmont region of North Carolina. In particular, this paper describes a market segmentation study of potential rail travelers on the basis of the responses of 333 participants in a computer-based, mall-intercept, market research survey.
The paper overviews the design and implementation of the computer-based survey of potential rail travelers and discusses the approach used in the identification and interpretation of the market segments. The five identified traveler groups are characterized and the implications of the market segmentation results are discussed. These five segments are: (1) functional traveler, (2) day tripper, (3) train lover, (4) leisure-hedonic traveler, and (5) family traveler.
The five groups identified in the market segmentation analysis provide a rich description of the potential rail market in the study corridor. The composition and characteristics of these groups indicate that the intercity rail travel market may have a complex structure that would be masked by the traditional business/non-business dichotomy. The characterization of the intercity rail travel market by the five identified segments provides rail service managers with very useful information for service planning and marketing.
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References
Bates J (ed) (1988) Stated preference methods in transport research.Journal of Transport Economics, Special Issue.
Dickson PR & Ginter JL (1987) Market segmentation product differentiation and marketing strategy.Journal of Marketing 51 (April): 1–10.
Engel JF, Fiorillo HF & Cayley MA (1972)Market Segmentation: Concepts and Applications. New York: Holt, Rinehart and Winston.
Everitt B (1980)Cluster Analysis, 2nd edition. London: Heinemann Educational Books Ltd.
Green PE, Krieger AM & Agarwal MK (1991) Adaptive conjoint analysis: some caveats and suggestions.Journal of Marketing Research 28: 215–221.
Green PE & Rao VR (1971) Conjoint measurement for quantifying judgemental data.Journal of Marketing Research 8: 355–363.
Green PE & Srinivasan V (1978) Conjoint analysis in consumer behavior: issues and outlook.Journal of Consumer Research 5: 103–123.
Green PE & Srinivasan V (1990) Conjoint analysis in marketing: new developments with implications for research and practice.Journal of Marketing 54 (October): 3–19.
Hartigan JA (1975)Clustering Algorithm. New York: John Wiley and Sons.
Hauser J & Simmie P (1981) Profit maximizing perceptual positions: an integrated theory for the selection of product features and price.Management Science 27 (January): 33–56.
Hensher DA, Barnard PO & Truong TP (1988) The role of stated preference methods in studies of travel choice.Journal of Transport Economics and Policy 22(1): 45–58.
Hensher DA, Brotchie J & Gunn H (1989) A methodology for investigating the passenger demand for high-speed rail.Proceedings, 14th Australasian Transport Research Forum (pp. 459–476).
Louviere JJ (1988) Conjoint analysis modelling of stated preferences.Journal of Transport Economics and Policy 22(1): 93–119.
Lovelock CH (1975) A market segmentation approach to transit planning, modeling and management.Proceedings, Transportation Research Forum.
MacQuenn JB (1967) Some methods for classification and analysis of multivariate observation.Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability 1: 281–297.
Pas EI (1984) The effect of selected socio-demographic characteristics on daily travel-activity behavior.Environment and Planning A 16: 571–581.
Pas EI, Huber JC & Forinash CV (1991)Intercity Rail Passenger Travel Demand Project. Final Report to the Public Transportation Division, North Carolina Department of Transportation, April. Sawtooth Software (1985)Ci2 Users Manual. Ketchum, Idaho: Sawtooth Software, Inc.
Sawtooth Software (1986)ACA System for Adaptive Conjoint Analysis. Ketchum, Idaho: Sawtooth Software, Inc.
Yankelovich D (1964) New criteria for market segmentation.Harvard Business Review (March –April): 83–90.
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Pas, E.I., Huber, J.C. Market segmentation analysis of potential inter-city rail travelers. Transportation 19, 177–196 (1992). https://doi.org/10.1007/BF02132837
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DOI: https://doi.org/10.1007/BF02132837