ERIC Number: EJ1418362
Record Type: Journal
Publication Date: 2024
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0021-8855
EISSN: EISSN-1938-3703
Using Behavioral Economics to Optimize Safer Undergraduate Late-Night Transportation
Brett W. Gelino; Madison E. Graham; Justin C. Strickland; Hannah W. Glatter; Steven R. Hursh; Derek D. Reed
Journal of Applied Behavior Analysis, v57 n1 p117-130 2024
Many universities sponsor student-oriented transit services that could reduce alcohol-induced risks but only if services adequately anticipate and adapt to student needs. Human choice data offer an optimal foundation for planning and executing late-night transit services. In this simulated choice experiment, respondents opted to either (a) wait an escalating delay for a free university-sponsored "safe" option, (b) pay an escalating fee for an on-demand rideshare service, or (c) pick a free, immediately available "unsafe" option (e.g., ride with an alcohol-impaired driver). Behavioral-economic nonlinear models of averaged-choice data describe preference across arrangements. Best-fit metrics indicate adequate sensitivity to contextual factors (i.e., wait time, preceding late-night activity). At short delays, students preferred the free transit option. As delays extend beyond 30 min, most students preferred competing alternatives. These data depict a policy-relevant delay threshold to better safeguard undergraduate student safety.
Descriptors: Undergraduate Students, Student Transportation, Evening Programs, Student Behavior, School Safety, Student Needs, Simulation, Preferences
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/qrd2w/