Paylaşımlı E-Scooter Yerleştirmeye Yönelik Bir Karar Destek Sistemi: İstanbul İçin Vaka Çalışması

Yıl 2021, , 127 - 148, 30.09.2021

Begüm Moralıoğlu , Şehnaz Cenani , Gülen Çağdaş

https://doi.org/10.53710/jcode.978704

Cited By: 2

Öz

Akıllı ve sürdürülebilir bir şehir, sakinlerinin yaşam kalitesini iyileştirmek için bilgi ve iletişim teknolojilerini kullanan, sağladığı hizmetlerde yenilikçi bir şehirdir. Bu şehirler, etkili hizmetler sunabilmek için çeşitli kaynaklardan toplanan açık verilerin kullanılmasıyla geliştirilmeli, yönetilmeli ve kontrol edilmelidir. Ulaşım, kente önemli veriler sağlayan temel hizmetlerinden biridir. Akıllı şehirlerdeki akıllı ulaşım sistemleri, ulaşım ağını oluşturan araç ve cihazların birbirleriyle etkileşime girmesini sağlayarak trafik sıkışıklığı, trafikte tüketilen yakıt miktarı gibi sorunların çözülmesine yardımcı olmaktadır. Ulaşım İstanbul’un önemli sorunlarından biridir ve bu nedenle örnek bir çalışma modeli olarak İstanbul şehri seçilmiştir. Kentlerde sürdürülebilir hareket kabiliyeti, ulaşım temelli problemler için uygun bir çözüm olarak görülmektedir. Elektrikli araçlar da düşük maliyetli ve sürdürülebilir ulaşım yöntemleridir. 2017'den bu yana e-scooter araçlarının da ulaşım sisteminin bir parçası olduğu görülmekte ve birçok şehir ulaşım alternatifi olarak paylaşımlı e-scooter sistemlerini kullanmaktadır. Ancak, e-scooter araçları şehirde rastgele yerlere yerleştirilmekte, yerleşim kararlarında herhangi bir algoritma kullanılmamaktadır. Buna bağlı olarak bazı bölgelerdeki kullanıcılar, bulundukları çevrede e-scooter olmaması nedeniyle paylaşım sisteminden tam olarak yararlanamamaktadır. Sosyal medya, çeşitli karar destek sistemlerinde yararlanılmak üzere değerli bilgiler toplayan yeni araçlardan biridir. Bu çalışmada sosyal medya ağlarından konum etiketlerini gerçek zamanlı toplayarak, Google Haritalar’dan sağlanan araç ve yaya trafiği bilgilerini Analitik Hiyerarşi Yöntemi (AHP) ile belirlenen İstanbul’daki bölge alternatifleriyle birleştiren prototip bir sistem geliştirilmiştir. Böylelikle e-scooter araçlarının konumlandırılma seçenekleri trafik uygulamalarından ve sosyal medyadan gelen verilere göre değişmekte ve oluşturan prototip e-scooter araçlarının şehir içinde ihtiyaç olduğu yerlere zamanında yerleştirilmesine yardımcı olmaktadır.

Anahtar Kelimeler

Akıllı ve sürdürülebilir şehirler, Analitik hiyerarşi yöntemi, Karar destek sistemleri, Paylaşımlı e-scooter sistemleri, Sosyal medya.

A Decision Support System for Placing Shared E-Scooters: A Case Study for Istanbul

Öz

A smart and sustainable city should be an innovative city that uses information and communication technologies to improve the quality of life via its operations. They need to be planned, managed, and regulated by open data collected through different data sources to provide efficient services. Transportation services can be accepted as one of the essential services of a city. In smart cities, intelligent transportation systems help to solve problems such as traffic congestion or the amount of fuel spent in traffic by providing communication between vehicles and devices that build the whole transportation network. In order to achieve the success of intelligent transportation systems, transportation methods should be planned dynamically according to the collected data and the requirements of the city's transportation network. E-scooters are also a part of the transportation system, and since 2017, shared e-scooter systems have been used as a transportation alternative in some cities. However, e-scooters are placed in random locations in cities without relying on a precise algorithm. Thus, users in some locations cannot benefit from the e-scooter sharing system efficiently due to the lack of e-scooter in neighborhoods. In this study, a decision support system for e-scooter sharing systems is suggested, which helps to place e-scooters dynamically in areas that are needed in the city. This system is intended to offer select options by combining the traffic density information of the regions and alternative region data provided by the multi-criteria analysis made using the Analytical Hierarchy Method (AHP) with real-time social media data.

Anahtar Kelimeler

Analytic hierarchy process, Decision support systems, Shared e-scooter systems, Smart and sustainable cities, Social media

Kaynakça

• Allem, J. P., & Majmundar, A. (2019). Are electric scooters promoted on social media with safety in mind? A case study on Bird’s Instagram. Preventive Medicine Reports, 13(November 2018), 62–63. https://doi.org/10.1016/j.pmedr.2018.11.013
• Bishop, J. D. K., Doucette, R. T., Robinson, D., Mills, B., & McCulloch, M. D. (2011). Investigating the technical, economic and environmental performance of electric vehicles in the real-world: A case study using electric scooters. Journal of Power Sources, 196(23), 10094–10104. https://doi.org/10.1016/j.jpowsour.2011.08.021
• Bizero. Retrieved July 8, 2021 from https://bizero.bike/
• Chen, Y. W., Cheng, C. Y., Li, S. F., & Yu, C. H. (2018). Location optimization for multiple types of charging stations for electric scooters. Applied Soft Computing Journal, 67, 519–528. https://doi.org/10.1016/j.asoc.2018.02.038
• Çevreciyiz (2017, September 20). Bizero: Boğaziçi Üniversitesi'nde elektrikli bisiklet dönemi. http://www.cevreciyiz.com/makale-detay/1175/bizero-bogazici-universitesinde-elektrikli-bisiklet-donemi
• Degele, J., Gorr, A., Haas, K., Kormann, D., Krauss, S., Lipinski, P., Tenbih, M., Koppenhoefer, C., Hertweck, D. (2018). Identifying E-Scooter Sharing Customer Segments Using Clustering. 2018 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2018 - Proceedings. https://doi.org/10.1109/ICE.2018.8436288
• DeMaio, P. J. (2003). Smart bikes: Public transportation for the 21st century. Transportation Quarterly, 57(1), 9–11.
• Dickey, M. R. (2018, December 23). The electric scooter wars of 2018. TechCrunch. https://techcrunch.com/2018/12/23/the-electric-scooter-wars-of-2018/
• Dickey, M. R. (2019, January 20). Uber is exploring autonomous bikes and scooters. TechCrunch. https://techcrunch.com/2019/01/20/uber-is-exploring-autonomous-bikes-and-scooters/
• Distribution of Instagram users worldwide as of April 2021, by age group. Statista. https://www.statista.com/statistics/325587/instagram-global-age-group/
• Electric Scooter Sharing Market in US and Europe 2021-2026 (2020, September). Mobility Foresights. https://mobilityforesights.com/product/scooter-sharing-market-report/
• European Best Practices in Bike Sharing Systems Report (2009). Intelligent Energy Europe Grant EIE/07/239/SI2466287.
• Genikomsakis, K. N., Mitrentsis, G., Savvidis, Di., & Ioakimidis, C. S. (2018). Energy consumption model of electric scooter for routing applications: Experimental validation. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018–March, 1–6. https://doi.org/10.1109/ITSC.2017.8317724
• Google Maps JavaScript API. Retrieved July 8, 2021 from https://developers.google.com/maps/documentation/javascript/overview
• Hardt, C., & Bogenberger, K. (2019). Usage of e-Scooters in Urban Environments. Transportation Research Procedia, 37(September 2018), 155–162. https://doi.org/10.1016/j.trpro.2018.12.178
• HOP!. Retrieved July 8, 2021 from https://hoplagit.com
• Huddleston, T. Jr. (2018, July 13). Uber and Alphabet just invested $335 million in Lime — here’s why scooter start-ups are suddenly worth billions. CNBC make it. https://www.cnbc.com/2018/07/11/lime-bird-spin-why-scooter-start-ups-are-suddenly-worth-billions.html
• Irfan, U. (2018, September 7). Electric scooters’ sudden invasion of American cities, explained. Vox. https://www.vox.com/2018/8/27/17676670/electric-scooter-rental-bird-lime-skip-spin-cities
• İSPARK. Retrieved July 8, 2021 from https://ispark.istanbul/projeler/isbike-akilli-bisiklet/
• İstanbul'daki Ayak İzleri. Retrieved July 8, 2021 from https://forms.gle/JTjW5jXZpxcHHrYh6
• Kazemzadeh, K., & Ronchi, E. (2021). From bike to electric bike level-of-service. Transport Reviews, 2100. https://doi.org/10.1080/01441647.2021.1900450
• Martı. Retrieved July 8, 2021 from https://www.marti.tech/
• Mobi. Retrieved July 8, 2021 from http://www.mobiscooters.com/#
• Nocerino, R., Colorni, A., Lia, F., & Luè, A. (2016). E-bikes and E-scooters for Smart Logistics: Environmental and Economic Sustainability in Pro-E-bike Italian Pilots. Transportation Research Procedia, 14, 2362–2371. https://doi.org/10.1016/j.trpro.2016.05.267
• Palm. Retrieved July 8, 2021 from https://letspalm.com
• Razor. Retrieved July 8, 2021 from https://www.razor.com/about-us/
• Sachs, C., Burandt, S., Mandelj, S., & Mutter, R. (2016). Assessing the market of light electric vehicles as a potential application for electric in-wheel drives. 2016 6th International Electric Drives Production Conference, EDPC 2016-Proceedings, 280–285. https://doi.org/10.1109/EDPC.2016.7851350
• Salmeron-Manzano, E., & Manzano-Agugliaro, F. (2018). The Electric Bicycle: Worldwide Research Trends. Energies, 11(7), 1894. https://doi.org/10.3390/en11071894
• Seebauer, S. (2015). Why early adopters engage in interpersonal diffusion of technological innovations: An empirical study on electric bicycles and electric scooters. Transportation Research Part A: Policy and Practice, 78, 146–160. https://doi.org/10.1016/j.tra.2015.04.017
• Situ, L. (2009). Electric Vehicle Development: The Past, Present & Future. 2009 3rd International Conference on Power Electronics Systems and Applications (PESA), 1–3.
• Shaheen, S., & Guzman, S. (2011). Worldwide Bikesharing. Access, (39), 22–27.
• Shaheen, S., Sperling, D., & Wagner, C. (1998). Carsharing in Europe and North American: Past, Present, and Future. Transportation Research Part D: Transport and Environment, 2(2), 107–123.
• Super Decisions. Retrieved July 8, 2021 from http://www.superdecisions.com/
• Tuncer, S., & Brown, B. (2020). E-scooters on the Ground: Lessons for Redesigning Urban Micro-Mobility. Conference on Human Factors in Computing Systems-Proceedings, 1–14. https://doi.org/10.1145/3313831.3376499
• Unagi Scooters (2020, August 14). Electric Bikes vs Electric Scooters: Which One Should You Choose? Unagi Articles. https://unagiscooters.com/articles/electric-bikes-vs-electric-scooters-which-one-should-you-choose
• Vynakov, O. F., Savolova, E. V., & Skrynnyk, A. I. (2016). Modern Electric Cars of Tesla Motors Company. Automation of Technological and Business Processes, 8(2), 9–19. https://doi.org/10.15673/atbp.v8i2.162