Which Advertising Techniques Increase Stated Preference for Microtransit: An Application of a New Estimation Technique

34 Pages Posted: 17 Nov 2025 Last revised: 31 Dec 2025

See all articles by Ben Smith

Ben Smith

University of Nebraska at Omaha - Department of Economics

Sona Klucarova

University of Nebraska at Omaha

Jadrian Wooten

Virginia Tech

Date Written: December 30, 2025

Abstract

Microtransit refers to demand-responsive transit options (e.g., vans, minibuses) designed to connect users to core transit networks such as fixed-route bus and rail systems. In the United States and Canada, microtransit is often promoted as a means of linking lower-density suburban areas to the broader transit network and expanding the transit user base. However, attracting users in areas with historically low transit usage requires more than improving connectivity; it also depends on effective public messaging. We conduct a randomized survey experiment to evaluate the effectiveness of alternative microtransit advertising messages. Respondents are exposed to a baseline informational message, a social message emphasizing environmental benefits, and a financial message emphasizing cost savings. We find that both the social and financial messages increase stated support for microtransit relative to the baseline, with the financial message consistently producing the largest effects. Methodologically, we extend the estimation framework developed in Smith and Wooten (2023) and Smith et al. (2025) to accommodate bounded Likert-scale survey outcomes with unequal probability structure at both the upper and lower ends of the response scale. We provide accompanying open-source estimation software to facilitate adoption of the proposed approach in applied research.

Keywords: microtransit, advertising, Likert-scale, estimation methods JEL: R41, M37, C83, R41

JEL Classification: R41, M37, C83

Suggested Citation

Smith, Ben and Klucarova, Sona and Wooten, Jadrian, Which Advertising Techniques Increase Stated Preference for Microtransit: An Application of a New Estimation Technique (December 30, 2025). Available at SSRN: https://ssrn.com/abstract=5759902 or http://dx.doi.org/10.2139/ssrn.5759902

Ben Smith (Contact Author)

University of Nebraska at Omaha - Department of Economics ( email )

College of Business Administration
60th and Dodge Streets
Omaha, NE 68182
United States

HOME PAGE: http://bensresearch.com

Sona Klucarova

University of Nebraska at Omaha ( email )

Jadrian Wooten

Virginia Tech ( email )

238 Wallace Hall
Blacksburg, VA
United States

HOME PAGE: http://jadrianwooten.com

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