College students’ use of transportation networking companies: An opportunity to decrease substance-impaired driving

Whitehill, Jennifer M.; Wilner, Molly; Rataj, Suzanne; Moreno, Megan A.

doi:10.1080/07448481.2018.1500469

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Patients often receive sedating medications during their ED stay, such as antihistamines, antiemetics, benzodiazepines, and opioids. Ridesharing services may mitigate the risk associated with patients driving themselves home, especially the elderly, and these services have been shown to decrease substance-impaired driving after socialization 29,30. ED crowding may be favorably affected, as patient discharges from the ED no longer rely on finding a ride, which can take hours based on the availability of acquaintances or public transportation schedules.…”

Section: Discussionmentioning

confidence: 99%

Transportation Preferences of Patients Discharged from the Emergency Department in the Era of Ridesharing Apps

Tomar

Ganesh

Richards

2019

WestJEM

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Patients discharged from the emergency department (ED) may encounter difficulty finding transportation home, increasing length of stay and ED crowding. We sought to determine the preferences of patients discharged from the ED with regard to their transportation home, and their awareness and past use of ridesharing services such as Lyft and Uber. Methods: We performed a prospective, survey-based study during a five-month period at a universityassociated ED and Level I trauma center serving an urban area. Subjects were adult patients who were about to be discharged from the ED. We excluded patients requiring ambulance transport home. Results: Of 500 surveys distributed, 480 (96%) were completed. Average age was 47 ± 19 years, and 61% were female. There were 33,871 ED visits during the study period, and 67% were discharged home. The highest number of subjects arrived by ambulance (27%) followed by being dropped off (25%). Of the 408 (85%) subjects aware of ridesharing services, only eight (2%) came to the ED by this manner; however, 22 (5%) planned to use these services post-discharge. The survey also indicated that 377 (79%) owned smartphones, and 220 (46%) used ridesharing services. The most common plan to get home was with family/friend (35%), which was also the most preferred (29%). Regarding awareness and past use of ridesharing services, we were unable to detect any gender and/or racial differences from univariate analysis. However, we did detect age, education and income differences regarding awareness, but only age and education differences for past use. Logistic regression showed awareness and past use decreased with increasing patient age, but correlated positively with increasing education and income. Half the subjects felt their medical insurance should pay for their transportation, whereas roughly one-third felt ED staff should pay for it. Conclusion: Patients most commonly prefer to be driven home by a family member or friend after discharge from the ED. There is awareness of ridesharing services, but only 5% of patients planned to use these services post-discharge from the ED. Patients who are older, have limited income, and are less educated are less likely to be aware of or have previously used ridesharing services. ED staff may assist these patients by hailing ridesharing services for them at time of discharge. [West J Emerg Med. 2019;20(4)672-680.]

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Section: Discussionmentioning

confidence: 99%

Transportation Preferences of Patients Discharged from the Emergency Department in the Era of Ridesharing Apps

Tomar

Ganesh

Richards

2019

WestJEM

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“…In their results, they highlighted that there are tradeoffs between prices and journey times and the Black Cab drivers are faster than Uber drivers. Whitehill et al (2019) empirically analysed the use of transportation networking companies, such as Uber, among substance-using students at two large state universities and concluded that using such companies are common, especially after a substance use, and they may play a critical role in impeding the impaired driving for rural campuses. All in all, despite the existence of these comparative studies, the main reasons for preference and the importance of low-price offering were predominantly emphasised by previous researchers, especially while comparing Uber with a national-wide platform.…”

Section: Literature Reviewmentioning

confidence: 99%

Teknoloji Tabanlı Talebe-Dayalı Taşımacılık İş Modellerine Geçiş: Karşılaştırmalı Bir Araştırma

Küçükaltan

2020

Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi

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Today, the world has been witnessing to structural changes at different levels and some external factors (e.g. COVID-19) have particularly accelerated these changes. In the new world order, people seek effective solutions to some challenges they confront in their daily lives while organisations are in quest for becoming more competitive by using innovative technologies to address these needs. As a result, with the introduction of digitalisation, there has been a transformation from traditional business models towards technology-based on-demand business models to be used in transportation. Especially, considering the complex structure and high density of metropolitan cities, such as Istanbul, using on-demand transportation platforms can be worthwhile for passengers. However, despite the increasing attention paid to these platforms, there is a limited number of studies exploring these business models and their impacts from different aspects. Therefore, this research aims to investigate the practices of two exemplary technology-based on-demand transportation business models, Uber and BiTaksi, and to propose strategies based on several prominent attributes. Consequently, the discussions and proposed strategies regarding the established attributes hold a significant potential to advance the nascent knowledge about digital transportation business models, especially in the comparison of an international and a national platform, and to offer strategic guidance to practitioners and policy-makers in business environment.

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“…Such delays are exacerbated when vehicle fleets are staged far from late‐night activities. Many undergraduates rely instead on more readily available non‐university‐affiliated rideshare services (e.g., Uber, Lyft; see Whitehill et al, 2019), but high‐demand price surges may leave transit‐seeking students without favorable options. The propensity to choose risky late‐night transportation is not limited to of‐age drinkers (Davey et al, 2005; Kohn et al, 2014; Scott‐Parker et al, 2014), and wait times straining student interest also likely affect student safety.…”

mentioning

confidence: 99%

Using behavioral economics to optimize safer undergraduate late‐night transportation

Gelino,

Graham,

Strickland

et al. 2023

J of App Behav Analysis

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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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College students’ use of transportation networking companies: An opportunity to decrease substance-impaired driving

Cited by 3 publications

References 8 publications

Transportation Preferences of Patients Discharged from the Emergency Department in the Era of Ridesharing Apps

Transportation Preferences of Patients Discharged from the Emergency Department in the Era of Ridesharing Apps

Teknoloji Tabanlı Talebe-Dayalı Taşımacılık İş Modellerine Geçiş: Karşılaştırmalı Bir Araştırma

Using behavioral economics to optimize safer undergraduate late‐night transportation

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