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Analysis of Determinants of Carsharing
Název práce v češtině: Analýza determinujících faktorů car-sharingu
Název v anglickém jazyce: Analysis of Determinants of Carsharing
Klíčová slova anglicky: Sharing economy, Car-sharing, Collaborative consumption
Akademický rok vypsání: 2017/2018
Typ práce: bakalářská práce
Jazyk práce: angličtina
Ústav: Institut ekonomických studií (23-IES)
Vedoucí / školitel: doc. PhDr. Julie Chytilová, Ph.D.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 28.05.2018
Datum zadání: 28.05.2018
Datum a čas obhajoby: 11.06.2019 09:00
Místo konání obhajoby: Opletalova - Opletalova 26, O206, Opletalova - místn. č. 206
Datum odevzdání elektronické podoby:10.05.2019
Datum proběhlé obhajoby: 11.06.2019
Oponenti: PhDr. Jan Hájek, Ph.D.
 
 
 
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Seznam odborné literatury
Bibliography:
Schmöller, S., Weikl, S., Müller, J., Bogenberger, K. (2015). Empirical analysis of free-floating carsharing usage: The Munich and Berlin case.

Frenken, K. (2017). Sustainability perspectives on the sharing economy.

Barth, M., & Shaheen, S. (2002). Shared-use vehicle systems: Framework for classifying carsharing, station cars, and combined approaches. Transportation Research Record: Journal of the Transportation Research Board, 1791, 105–112.

Baptista, P., Melo, S., & Rolim, C. (2014). Energy, environmental and mobility impacts of car-sharing systems. Empirical results from Lisbon, Portugal. Procedia - Social and Behavioral Sciences, 111, 28–37.

Hampshire, R., & Gaites, C. (2011). Peer-to-peer carsharing: Market analysis and potential growth. Transportation Research Record: Journal of the Transportation Research Board, 2217, 119–126.

RAC foundation (2012). Spaced out: perspectives on parking policy. Available at: https://www.racfoundation.org/research/mobility/spaced-out-perspectives-on-parking

INRIX (2017). Parking is the largest cost of driving. Available at: http://inrix.com/press-releases/cod-us/
Předběžná náplň práce v anglickém jazyce
Research question and motivation:
In my thesis I will focus on the trend of sharing economy specifically the sector of car-sharing. The concept of sharing economy is not something new. However, over the last decade, this phenomenon soared in success on a global scale thanks to the technological progress and improvements to internet-facilitated platforms, which can allow a more complex and personalized form of attraction and connection between individuals willing to participate in peer-to-peer exchange of assets. As the private owning of an automobile is losing on its social and economic status, there is a growing demand for a new way of utilizing a car in a more effective manner. Car-sharing has the potential to become a serious competitor to other forms of automotive transport. In recent years, there has been a handful of research papers focusing on this phenomenon in a certain region (Schmöller et al., 2015).
The goal of this paper is to describe car-sharing usage, estimate determinants of car-sharing service globally and identify any existing links between seriousness of traffic congestions, cost of private car owning in major cities and amount of car-sharing services operating in the designated area.

Contribution:
The research should build upon already existing literature by analysing the cost of driving a private car and what factors might affect the prosperity of car-sharing in larger cities. The final results might be of interest to car-sharing service providers willing to expand their economic focus to other cities and help them understand and probably prevent issues, that might be economicaly defining for their purpose. Additionally, the analysis could be useful to individuals seeking for an efficient alternative of car usage.

Methodology:
For the empirical analysis, I will gather demographic data for average income per capita, level of traffic congestion, level of air pollution, cost of car owning (INRIX, 2017) and population density from selected cities across various countries. Using the gathered cross-sectional data I will construct an econometric linear regression model and apply the method of Ordinary least squares(OLS), putting it in context with the amount of car-sharing service providers operating in the selected cities. Finally, the result will be examined to find any existing relationship between the previously mentioned coefficients and the number of service providers, to determine how likely is the service to be effective.

Outline:
1) Introduction
2) Literature review
3) Data
4) Methodology
5) Data analysis and empirical results
6) Summary and conclusion
 
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