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Using behavioral economics to optimize safer undergraduate late-night transportation.
- Source :
-
Journal of applied behavior analysis [J Appl Behav Anal] 2024 Jan; Vol. 57 (1), pp. 117-130. Date of Electronic Publication: 2023 Nov 06. - Publication Year :
- 2024
-
Abstract
- 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.<br /> (© 2023 Society for the Experimental Analysis of Behavior (SEAB).)
- Subjects :
- Humans
Universities
Economics, Behavioral
Students
Subjects
Details
- Language :
- English
- ISSN :
- 1938-3703
- Volume :
- 57
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of applied behavior analysis
- Publication Type :
- Academic Journal
- Accession number :
- 37932923
- Full Text :
- https://doi.org/10.1002/jaba.1029