Examining the Carsharing System in Terms of Urban Transportation

Year 2022, Volume: 12 Issue: 1, 57 - 61, 30.06.2022

Emre Kuşkapan Muhammed Yasin Çodur

https://doi.org/10.36222/ejt.793458

Abstract

With the increasing population in the world, individual vehicle ownership is increasing day by day. The increase in individual vehicle ownership causes heavy traffic jams in the city centers. In addition to traffic congestion, noise pollution, harmful gas emission, parking lot problems also increase. Besides, the fact that most of the vehicles use petroleum derivatives, which are a depleted energy source, pose big problems for the economy. In this context, various studies are carried out to reduce the use of individual vehicles and to prevent the mentioned problems. One of these studies is the carsharing system. In this study, the applicability of the vehicle sharing system was investigated by surveys of Erzurum Metropolitan Municipality personnel. The city is divided into certain regions, taking into account the locations of individuals' homes. Later, the carsharing model was created with the mobile application designed for individuals living in the region. Monthly total economic gain and savings per individual were calculated in the analysis made as a result of the model. Thanks to the study, it has been revealed that the carsharing system within the institutions provides feasibility and many advantages.

Keywords

Carsharing, fuel saving, sustainable transportation

References

• [1] Morelli, N. (2006). Developing new product service systems (PSS): methodologies and operational tools. Journal of cleaner production, 14(17), 1495-1501.
• [2] Coll, M. H., Vandersmissen, M. H., & Thériault, M. (2014). Modeling spatio-temporal diffusion of carsharing membership in Québec City. Journal of Transport Geography, 38, 22-37.
• [3] Shaheen, S. A., & Cohen, A. P. (2007). Growth in worldwide carsharing: An international comparison. Transportation Research Record, 1992(1), 81-89.
• [4] Güneş, F, Bayraklı, S , Zai̇m, A . (2020). Study of Performance Measures of Traffic Flow at Signalized Intersection with Queueing Theory. European Journal of Science and Technology, 19, 56-65.
• [5] Namazu, M., MacKenzie, D., Zerriffi, H., & Dowlatabadi, H. (2018). Is carsharing for everyone? Understanding the diffusion of carsharing services. Transport Policy, 63, 189-199.
• [6] Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the association for information science and technology, 67(9), 2047-2059.
• [7] Müller, J., & Bogenberger, K. (2015). Time series analysis of booking data of a free-floating carsharing system in Berlin. Transportation Research Procedia, 10, 345-354.
• [8] De Luca, S., & Di Pace, R. (2014). Modeling the propensity in adhering to a carsharing system: a behavioral approach. Transportation Research Procedia, 3, 866-875.
• [9] Yoon, T., Cherry, C. R., & Jones, L. R. (2017). One-way and round-trip carsharing: A stated preference experiment in Beijing. Transportation research part D: transport and environment, 53, 102-114.
• [10] Lopes, M. M., Martinez, L. M., & de Almeida Correia, G. H. (2014). Simulating carsharing operations through agent-based modeling: an application to the city of Lisbon, Portugal. Transportation Research Procedia, 3, 828-837.
• [11] Costain, C., Ardron, C., & Habib, K. N. (2012). Synopsis of users’ behaviour of a carsharing program: A case study in Toronto. Transportation Research Part A: Policy and Practice, 46(3), 421-434.
• [12] Giesel, F., & Nobis, C. (2016). The impact of carsharing on car ownership in German cities. Transportation Research Procedia, 19, 215-224.
• [13] Duncan, M. (2011). The cost saving potential of carsharing in a US context. Transportation, 38(2), 363-382.
• [14] Bruglieri, M., Colorni, A., & Lue, A. (2014). The vehicle relocation problem for the one-way electric vehicle sharing: an application to the Milan case. Procedia-Social and Behavioral Sciences, 111, 18-27.
• [15] Boyacı, B., & Zografos, K. G. (2019). Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems. Transportation Research Part B: Methodological, 129, 244-272.
• [16] Firnkorn, J. (2012). Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany. Transportation Research Part A: Policy and Practice, 46(10), 1654-1672.
• [17] Avcı, A, Karakay, H. (2019). Calculating energy-induced carbon footprint: Batman University case. European Journal of Technique (EJT), 9 (1), 114-120.
• [18] Jorge, D., Barnhart, C., & de Almeida Correia, G. H. (2015). Assessing the viability of enabling a round-trip carsharing system to accept one-way trips: Application to Logan Airport in Boston. Transportation Research Part C: Emerging Technologies, 56, 359-372.
• [19] Repoux, M., Kaspi, M., Boyacı, B., & Geroliminis, N. (2019). Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations. Transportation Research Part B: Methodological, 130, 82-104.
• [20] Erzurum Metropolitan Municipality, https://www.erzurum.bel.tr/