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Using Behavioral Economics to Optimize Safer Undergraduate Late-Night Transportation

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Title: Using Behavioral Economics to Optimize Safer Undergraduate Late-Night Transportation
Language: English
Authors: Brett W. Gelino (ORCID 0000-0001-8548-3627), Madison E. Graham (ORCID 0000-0002-2353-8415), Justin C. Strickland (ORCID 0000-0003-1077-0394), Hannah W. Glatter, Steven R. Hursh (ORCID 0000-0002-5391-2842), Derek D. Re (ORCID 0000-0002-5854-3425)
Source: Journal of Applied Behavior Analysis. 2024 57(1):117-130.
Availability: 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://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 14
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Undergraduate Students, Student Transportation, Evening Programs, Student Behavior, School Safety, Student Needs, Simulation, Preferences
DOI: 10.1002/jaba.1029
ISSN: 0021-8855
1938-3703
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.
Abstractor: As Provided
Notes: https://osf.io/qrd2w
Entry Date: 2024
Accession Number: EJ1418362
Database: ERIC
FullText Text:
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  Data: Using Behavioral Economics to Optimize Safer Undergraduate Late-Night Transportation
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  Data: <searchLink fieldCode="AR" term="%22Brett+W%2E+Gelino%22">Brett W. Gelino</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8548-3627">0000-0001-8548-3627</externalLink>)<br /><searchLink fieldCode="AR" term="%22Madison+E%2E+Graham%22">Madison E. Graham</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2353-8415">0000-0002-2353-8415</externalLink>)<br /><searchLink fieldCode="AR" term="%22Justin+C%2E+Strickland%22">Justin C. Strickland</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1077-0394">0000-0003-1077-0394</externalLink>)<br /><searchLink fieldCode="AR" term="%22Hannah+W%2E+Glatter%22">Hannah W. Glatter</searchLink><br /><searchLink fieldCode="AR" term="%22Steven+R%2E+Hursh%22">Steven R. Hursh</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-5391-2842">0000-0002-5391-2842</externalLink>)<br /><searchLink fieldCode="AR" term="%22Derek+D%2E+Re%22">Derek D. Re</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-5854-3425">0000-0002-5854-3425</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Applied+Behavior+Analysis%22"><i>Journal of Applied Behavior Analysis</i></searchLink>. 2024 57(1):117-130.
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  Data: 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://www.wiley.com/en-us
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Transportation%22">Student Transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Evening+Programs%22">Evening Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Behavior%22">Student Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22School+Safety%22">School Safety</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Needs%22">Student Needs</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation%22">Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Preferences%22">Preferences</searchLink>
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  Data: 10.1002/jaba.1029
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  Data: 0021-8855<br />1938-3703
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  Label: Abstract
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  Data: 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.
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  Data: https://osf.io/qrd2w
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  Data: 2024
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  Data: EJ1418362
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1418362
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      – SubjectFull: Evening Programs
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