Dark Side of the Sharing Economy: Empirical Study on the Effect of Car-sharing on the Crashes of Teenage Drivers

Minhyung Lee KAIST College of Business white_wishes@kaist.ac.kr HanByeol Stella Choi KAIST College of Business chb3@kaist.ac.kr Heeseok Lee KAIST College of Business hsl@kaist.ac.kr Abstract With the rapid penetration of smartphones, sharing economy platforms have become popular. Especially, car-sharing, is widely spread in the world and its market size is growing. Nevertheless, there is still controversy over the safety and security issues in the car-sharing platform. This paper proposes one of possible threats by car-sharing platforms, an increasing car crash rates of teenage drivers. Teenagers are more susceptible to newly adopted digital platforms. Teenage drivers are more likely to be in a car crash than adult drivers. With the entry of car-sharing platforms, it has become easier for teenagers to access cars than before. We assume that the increased number of teenage drivers through car-sharing is related to the increase of car crashes of teenage drivers. To identify this, we employ differences-in-differences (DID) approach with the data set of car crashes in 224 counties and find that the entry of car-sharing significantly increases car crashes of teenage drivers.

[1]  Michael Luca,et al.  Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment , 2016 .

[2]  Donald Eugene. Farrar,et al.  Multicollinearity in Regression Analysis; the Problem Revisited , 2011 .

[3]  David Wachsmuth,et al.  Airbnb and the rent gap: Gentrification through the sharing economy , 2018, Environment and Planning A: Economy and Space.

[4]  Kalle Lyytinen,et al.  Research Commentary - Digital Infrastructures: The Missing IS Research Agenda , 2010, Inf. Syst. Res..

[5]  A James McKnight,et al.  Young novice drivers: careless or clueless? , 2003, Accident; analysis and prevention.

[6]  Susan Shaheen,et al.  App-Based, On-Demand Ride Services: Comparing Taxi and Ridesourcing Trips and User Characteristics in San Francisco , 2014 .

[7]  Susan Shaheen,et al.  Shared Mobility: A Sustainability & Technologies Workshop: Definitions, Industry Developments, and Early Understanding , 2015 .

[8]  Allan F Williams,et al.  Teenage drivers: patterns of risk. , 2003, Journal of safety research.

[9]  Rachel Botsman,et al.  What's Mine Is Yours: The Rise of Collaborative Consumption , 2010 .

[10]  Bevan B. Kirley,et al.  Crashes of novice teenage drivers: characteristics and contributing factors. , 2008, Journal of safety research.

[11]  J. Byers,et al.  The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry , 2017 .

[12]  Bruce D. Meyer Natural and Quasi- Experiments in Economics , 1994 .

[13]  Zhongju Zhang,et al.  An Empirical Analysis of On-Demand Ride Sharing and Traffic Congestion , 2016, ICIS.

[14]  Colin Murphy,et al.  Shared Mobility and the Transformation of Public Transit , 2016 .

[15]  Sunil Wattal,et al.  Show Me the Way to Go Home: An Empirical Investigation of Ride Sharing and Alcohol Related Motor Vehicle Homicide , 2015, MIS Q..

[16]  Elise Miller-Hooks,et al.  Fleet Management for Vehicle Sharing Operations , 2011, Transp. Sci..

[17]  E. Duflo,et al.  How Much Should We Trust Differences-in-Differences Estimates? , 2001 .

[18]  Ron Adner,et al.  Value Creation in Innovation Ecosystems: How the Structure of Technological Interdependence Affects Firm Performance in New Technology Generations , 2009 .

[19]  Mareike Möhlmann Collaborative consumption: determinants of satisfaction and the likelihood of using a sharing economy option again , 2015 .

[20]  Giana M. Eckhardt,et al.  Access-Based Consumption: The Case of Car Sharing , 2012 .

[21]  Yi-Ming Wei,et al.  Environmental benefits from ridesharing: A case of Beijing , 2017 .

[22]  Yili Hong,et al.  An Empirical Analysis of the Impacts of the Sharing Economy Platforms on the U.S. Labor Market , 2018, HICSS.

[23]  Arvind Malhotra,et al.  The dark side of the sharing economy … and how to lighten it , 2014, Commun. ACM.

[24]  Brad N. Greenwood,et al.  Uber Might Buy Me a Mercedes Benz: An Empirical Investigation of the Sharing Economy and Durable Goods Purchase , 2017 .

[25]  Carl Benedikt Frey,et al.  Industrial renewal in the 21st century: evidence from US cities , 2017 .

[26]  Davide Proserpio,et al.  The Sharing Economy and Housing Affordability: Evidence from Airbnb , 2018, EC.

[27]  António Pais Antunes,et al.  Optimization Approach to Depot Location and Trip Selection in One-Way Carsharing Systems , 2012 .

[28]  E. Brynjolfsson,et al.  The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales , 2013, ICIS 2013.

[29]  Anindya Ghose,et al.  Internet’s Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission , 2012, MIS Q..

[30]  O. Keene,et al.  The log transformation is special. , 1995, Statistics in medicine.

[31]  William J. Horrey,et al.  Assessing Fatality Rates in Crash Involvement for Motorists and Non-Motorists in Teen Driver Crashes by Risk Factor , 2018 .

[32]  C. Bingham,et al.  Teen driving: motor-vehicle crashes and factors that contribute. , 2008, American Journal of Preventive Medicine.

[33]  Brent R. Moulton An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit , 1990 .

[34]  Warren Brodsky,et al.  Background music as a risk factor for distraction among young-novice drivers. , 2013, Accident; analysis and prevention.