The Investigation of Effective Parameters on Trip Length of Bikesharing Systems (BSS)

Year 2019, , 163 - 172, 15.01.2019

Metin Mutlu Aydın , Mehmet Sinan Yıldırım

https://doi.org/10.17714/gumusfenbil.418778

Abstract

Various bike sharing systems (BSS) were designed and used in different
cities of the world in the past decade. Many benefits of the BSS have supplied
a rapid growth of this transport mode in all around the world. BSS mainly have
many benefits such as traffic (flexible mobility and multimodal transport
connections), health (physical activity) and cost (low trip cost). Also a
planned BSS can serve an easy access to other public transportation system and
can be an important actor of the public transportation system. Especially in
many big cities, bike sharing systems becomes an important part of the public
transportation and ensure short travel times to users. However, the growing may
causes many problems such as demand, safety, effectiveness, cost etc. For this
purpose many studies have conducted by the planners, researchers and decision
makers to find best solutions to mentioned problems. In the scope of this
study, the relation among average temperature, trip length and trip number was
examined for a bike sharing system. For this purpose, Capital Bikeshare system (Washington,
D.C., Arlington and Alexandria, VA and Montgomery County, MD) is chosen as
pilot system to investigate. Study results showed that there is a strong and
positive correlation among temperature, trip number and trip length.
Additionally, it was obtained that bicycle utilization has a maximum value
between 5-10 minutes. This results can be caused by the free utilization
duration (30 minutes) of the system for the members.

Keywords

Bike sharing systems, Public transportation, Transport mode, Trip length distribution

Bisiklet Paylaşım Sistemlerindeki Yolculuk Uzunluğu Üzerinde Etkili Parametrelerin İncelenmesi

Abstract

Son on yılda dünyanın farklı şehirlerinde değişik bisiklet paylaşım sistemleri (BPS) tasarlanmış ve kullanılmıştır. Birçok fayda sağlayan bu bisiklet paylaşım sistemleri ile bisiklet ulaşım modu tüm Dünya’da hızlı bir büyüme göstermiştir. BPS temel olarak trafik (esnek mobilite ve çok modlu ulaşım bağlantıları), sağlık (fiziksel aktivite) ve fiyat (düşük yolculuk maliyeti) gibi birçok fayda sağlamaktadır. Ayrıca planlanmış bir BPS diğer ulaşım modlarına kolay bir ulaşım sağlayabilmekte ve toplu taşıma sistemlerinde önemli bir aktör olabilmektedir. Özellikle büyükşehirlerde BPS, toplu taşıma sistemlerinin önemli bir parçası olarak, kullanıcılara kısa yolculuk süreleri sağlamaktadır. Bununla birlikte bu sistemlerin büyümesi talep, güvenlik, efektif olmama, maliyet vb. bazı sorunların ortaya çıkmasına da sebep olabilmektedir. Bu amaçla belirlenen problemlere en iyi çözümü bulabilmek amacıyla planlayıcılar, araştırmacılar ve karar vericiler tarafından birçok araştırma yürütülmektedir. Bu çalışma kapsamında ise sıcaklık, yolculuk uzunluğu ve yolculuk sayısı arasındaki ilişki bir bisiklet paylaşım sistemi için detaylı olarak incelenmiştir. Bu amaçla Capital Bisiklet Paylaşım Sistemi (Washington, D.C., Arlington and Alexandria, VA and Montgomery County, MD) incelenmek amacıyla pilot sistem olarak seçilmiştir. Çalışma sonuçları sıcaklık, yolculuk sayısı ve uzunluğu arasında güçlü ve pozitif bir ilişki olduğunu göstermiştir. İlaveten incelenen BPS’de bisiklet kullanımının en çok 5-10 dakika arasında olduğu sonucuna ulaşılmıştır. Bu sonuç üzerinde en etkili olan parametre ise bisiklet kullanımının ilk 30 dakika ücretsiz olması gösterilebilmektedir.

Keywords

Bisiklet paylaşım sistemleri, Toplu ulaşım, Ulaşım modu, Yolculuk uzunluğu dağılımı

References

• Buck, D. and Buehler, R., 2012. Bike lanes and other determinants of capital bikeshare trips. In Proceedings of 91st Transportation Research Board Annual Meeting, 2012, Washington, DC. 1-11.
• Capitalbikeshare, 2017. Retrieved from https://www.capitalbikeshare.com
• DeMaio, P. 2009. Bike-Sharing: history, impacts, models of provision, and future. Journal of Public Transportation, 12(4), 41–56.
• El-Assi, W., Mahmoud, M. S. and Habib, K. N. 2017. Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto. Transportation, 44(3), 589-613.
• Faghih-Imani, A. and Eluru, N. 2016. Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: a case study of New York Citibike System. Journal of Transport Geography, 54(2016), 218-227.
• Faghih-Imani, A. and Eluru, N. 2014. Role of bicycle sharing system infrastructure on usage: evidence from Montreal. In Proceedings of the 5th Innovations in Travel Modeling Conference, 2014, Baltimore, MD, 1-36.
• Faghih-Imani, A., Eluru, N., El-Geneidy, A., Rabbat, M. and Haq, U. 2014. How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI). Journal of Transport Geography, 41(2014), 306–314.
• Fishman, E. 2015. Bikeshare: a review of recent literature. Transport Reviews. 36(1), 92–113.
• Gebhart, K. and Noland, R. 2014. The impact of weather conditions on bikeshare trips in Washington, DC. Transportation, 41(6), 1205–1225.
• Ghasemlou, K., Aydin, M. M. and Yildirim, M. S. 2015. Prediction of pedal cyclists and pedestrian fatalities from total monthly accidents and registered private car numbers. Archives of Transport, 34(2), 29-35.
• Gregerson, J., Hepp-Buchanan, M., Rowe, D., Vander Sluis, J., Wygonik, E., Xenakis, M. and McCormack, E., 2010. Seattle Bicycle Share Feasibility Study. University of Washington, College of Build Environment, Department of Urban Planning and Design.
• Jäppinen, S., Toivonen, T. and Salonen, M. 2013. Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An Open Data Approach. Applied Geography. 43(2013), 13–24.
• Krykewycz, G., Puchalsky, C., Rocks, J., Bonnette, B. and Jaskiewicz, F. 2010. Defining a primary market and estimating demand for major bicycle-sharing program in Philadelphia, Pennsylvania. Transportation Research Record: Journal of the Transportation Research Board, (2143), 117-124.
• LLC MetroBike 2014. The Bike Sharing World 2014 Year End Data. Retrieved from http://bike-sharing.blogspot.com/2015/01/the-bike-sharing- world-2014-year-end.html.
• Meddin, R. and DeMaio, P., 2015. The Bike-Sharing world map. Retrieved from http://www.bikesharingworld.com.
• Murphy, E. and Usher, J. 2015. The role of bicycle-sharing in the city: analysis of the Irish experience. International Journal of Sustainable Transportation, 9(2), 116–125.
• Nair, R., Miller-Hooks, E., Hampshire, R. C., and Bušić, A. 2013. Large-Scale vehicle sharing systems: analysis of Vélib'.International Journal of Sustainable Transportation, 7(1), 85-106.
• Otero, I., Nieuwenhuijsen, M. J. and Rojas-Rueda, D. (2018). Health impacts of bike sharing systems in Europe. Environment international, 115(2018), 387-394.
• Ranaiefar, F. and Rixey, R. A. 2016. Bike sharing ridership forecast using structural equation modeling. In Proceedings of Transportation Research Board 95th Annual Meeting No. 16-657, 22p.
• Rixey, R. 2013. Station-level forecasting of bikesharing ridership: Station Network Effects in Three US Systems. Transportation Research Record: Journal of the Transportation Research Board, (2387), 46-55.
• Saplıoğlu, M. and Aydın, M. M. 2018. Choosing safe and suitable bicycle routes to integrate cycling and public transport systems. Journal of Transport & Health, 2018, 1-17.
• Shaheen, S., Guzman, S. and Zhang, H. 2010. Bikesharing in Europe, the Americas, and Asia Past, present, and future. Transp. Res. Rec. 2143, 159–167.
• Shaheen, S., Cohen A. and Martin, E. 2013. Public bike sharing in North America: Early operator understanding and emerging trends, Transportation Res. Record, 2387, 83-92.
• Wikipedia 2015. List of bicycle-sharing systems. Retrieved from https://en.wikipedia.org/ wiki/List_of_bicycle-sharing_systems.
• Zhang, Y. and Mi, Z. 2018. Environmental benefits of bike sharing: A big data-based analysis. Applied Energy, 220, 296–301.
• Zhang, Y., Brussel, M. J. G., Thomas, T. and van Maarseveen, M. F. A. M. 2018. Mining bike-sharing travel behavior data: An investigation into trip chains and transition activities. Computers, Environment and Urban Systems, 69(2018), 39–50.