Managerial segmentation of service offerings in work commuting.

Details

• Creators:
  Silver, Steven
• Corporate Creators:
  Mineta Transportation Institute
• Corporate Contributors:
  California. Dept. of Transportation. Office of Research ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Market segmented groups
  • Public transit
  • Commuters
  • Demographics
  • Multivariate analysis
  • Choice models
  • Commuter service
• Publication/ Report Number:
  CA-MTI-14-1232 ; MTI Report WP 12-02
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mineta Transportation Institute
• Abstract:
  Methodology to efficiently segment markets for public transportation offerings has been introduced and exemplified in an ; application to an urban travel corridor in which high tech companies predominate. The principal objective has been to introduce ; and apply multivariate methodology to efficiently identify segments of work commuters and their demographic identifiers. A set ; of attributes in terms of which service offerings could be defined was derived from background studies and focus groups of ; work commuters in the county. Adaptive choice conjoint analysis was used to derive the importance weights of these attributes ; in available service offering to these commuters. A two-stage clustering procedure was then used to explore the grouping of ; individual’s subsets into homogeneous sub-groups of the sample. These subsets are commonly a basis for differentiation in ; service offerings that can increase total ridership in public transportation while approximating cost neutrality in service delivery. ; Recursive partitioning identified interactions between demographic predictors that significantly contributed to the discrimination ; of segments in demographics. Implementation of the results is discussed.
• Format:
  PDF
• Funding:
  DTRT12-G-UTC21
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28677/dot_28677_DS1.pdf
• File Type:
  [PDF - 625.52 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:c80b5e8bc7ccb3267730e2fec3de105355748afe58d1f8176156f830f3645a15