Understanding How Individuals Make Travel and Location Decisions: Implications for Public Transportation (2008) / Chapter Skim
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Pages 56-66
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56 This chapter explores the characteristics of market sectors that are more likely to be favorable to an urban residential environment, particularly an environment characterized as a CN. The results of a market segmentation process based on attitude and belief, rather than age and e-panel, are presented.
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57 Rating Statements from Phase 1 Survey Questionnaire [1 to 7]
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58 How likely is it that you could find an affordable home in a compact neighborhood? [very unlikely/very likely]
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intention to move to a CN; thus the sample size is reduced to 822. The Transit Movers Group.
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dential preferences, as shown by other variables. For example, in the choice between an urban townhouse with transit and a suburban house that requires driving, 80% of the Transit Movers chose the townhouse, compared with 24.5% of the Anti-Environmental group.
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choosing an urban townhouse or living in a big city. However, only 15% currently live in a CN.
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surrogate for the combined number of walk trips for utilitarian purposes (i.e., walk trips to a destination)
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Understanding the Two Market Segments with the Highest Intent to Move The five segments are discussed in this section, ranked from highest to lowest intent to move to a CN, in particular, their propensity to take transit and to move. Transit Movers Group The Transit Movers currently experience a wide variety of green-mode travel behavioral patterns.
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Understanding the Three Groups with Lowest Intent to Move to a Compact Neighborhood Conflicted/Contented Group The Conflicted/Contended group (characterized by a low intent to move) has a significantly higher propensity to use transit (particularly for work)
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minorities. Its median household income level is lower than that of the sample as a whole and similar to the Transit Movers, with whom it has much in common demographically.
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residential move; they have high confidence about making it work. Summary of Findings for Five Market Segments for Moving The approach of defining market sectors by clustering on the 39 variables that correlate with the intent to move to a CN provides a set of distinct market segments.
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