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Original Article
A Comprehensive Usage Pattern Analysis of Shared E-Scooters in Urban Mobility
Gurkan Celik1
Umit Deniz Ulusar2
Murat Alper Basaran3
1Department of Electrical and Electronics Engineering, Akdeniz University, Türkiye. 2Department of Computer Engineering, Alanya Alaaddin Keykubat University, Türkiye. 3Department of Computer Engineering, Akdeniz University, Türkiye. 4Department of Industrial Engineering, Alanya Alaaddin Keykubat University, Türkiye. * Corresponding Author: gurkancelik@akdeniz.edu.tr
Published Online: November-December 2024
Pages: 06-17
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20240406002
References
1. ‘World Cities Report 2022: Envisaging the Future of Cities | UN-Habitat’. Accessed: Nov. 21, 2024. [Online]. Available:
https://unhabitat.org/world-cities-report-2022-envisaging-the-future-of-cities
2. G. Celik, U. D. Ulusar, A. Sarsenbay, and A. Taleb-Ahmed, ‘Innovative Parking Solutions in Smart Cities’, in 2023 8th International
Conference on Computer Science and Engineering (UBMK), Sep. 2023, pp. 51–56. doi: 10.1109/UBMK59864.2023.10286713.
3. U. D. Ulusar, G. Celik, and F. Al-Turjman, ‘Wireless Communication Aspects in the Internet of Things: An Overview’, in 2017 IEEE 42nd
Conference on Local Computer Networks Workshops (LCN Workshops), Oct. 2017, pp. 165–169. doi: 10.1109/LCN.Workshops.2017.82.
4. N. Saum, S. Sugiura, and M. Piantanakulchai, ‘Short-Term Demand and Volatility Prediction of Shared Micro-Mobility: a case study of
e-scooter in Thammasat University’, in 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), Nov. 2020, pp. 27–
32. doi: 10.1109/FISTS46898.2020.9264852.
5. R. B. Noland, ‘Scootin’ in the rain: Does weather affect micromobility?’, Transp. Res. Part Policy Pract., vol. 149, pp. 114–123, Jul. 2021,
doi: 10.1016/j.tra.2021.05.003.
6. A. A. Campbell, C. R. Cherry, M. S. Ryerson, and X. Yang, ‘Factors influencing the choice of shared bicycles and shared elect ric bikes in
Beijing’, Transp. Res. Part C Emerg. Technol., vol. 67, pp. 399–414, Jun. 2016, doi: 10.1016/j.trc.2016.03.004.
7. H. Younes, Z. Zou, J. Wu, and G. Baiocchi, ‘Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-
share in Washington, D.C.’, Transp. Res. Part Policy Pract., vol. 134, pp. 308–320, Apr. 2020, doi: 10.1016/j.tra.2020.02.021.
8. D. J. Reck, H. Haitao, S. Guidon, and K. W. Axhausen, ‘Explaining shared micromobility usage, competition and mode choice by modelling
empirical data from Zurich, Switzerland’, Transp. Res. Part C Emerg. Technol., vol. 124, p. 102947, Mar. 2021, doi:
10.1016/j.trc.2020.102947.
9. M. Abouelela, E. Chaniotakis, and C. Antoniou, ‘Understanding the landscape of shared-e-scooters in North America; Spatiotemporal
analysis and policy insights’, Transp. Res. Part Policy Pract., vol. 169, p. 103602, Mar. 2023, doi: 10.1016/j.tra.2023.103602.
10. K. Gebhart and R. B. Noland, ‘The impact of weather conditions on bikeshare trips in Washington, DC’, Transportation, vol. 41, no. 6,
pp. 1205–1225, Nov. 2014, doi: 10.1007/s11116-014-9540-7.
11. M. Hasan and V. P. Sisiopiku, ‘Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants’,
Future Transp., vol. 4, no. 1, Art. no. 1, Mar. 2024, doi: 10.3390/futuretransp4010008.
12. J. K. Mathew, M. Liu, and D. M. Bullock, ‘Impact of Weather on Shared Electric Scooter Utilization’, in 2019 IEEE Intelligent
Transportation Systems Conference (ITSC), Oct. 2019, pp. 4512–4516. doi: 10.1109/ITSC.2019.8917121.
13. U. D. Ulusar, G. Celik, E. Turk, F. Al-Turjman, and H. Guvenc, ‘Accurate indoor localization for ZigBee networks’, in 2018 3rd
International Conference on Computer Science and Engineering (UBMK), IEEE, 2018, pp. 514–517. Accessed: Dec. 11, 2024. [Online].
Available: https://ieeexplore.ieee.org/abstract/document/8566532/
14. G. Celik, M. Baimagambetova, and V. Abromavičius, ‘A Review of Fingerprinting Techniques for Smart Cities’, in 2022 IEEE Open
Conference of Electrical, Electronic and Information Sciences (eStream), Apr. 2022, pp. 1–4. doi: 10.1109/eStream56157.2022.9781754.
15. ‘GEZ’. Accessed: Dec. 12, 2024. [Online]. Available: https://gezmobility.com/
16. ‘Meteoroloji Genel Müdürlüğü’. Accessed: Aug. 20, 2024. [Online]. Available: https://mevbis.mgm.gov.tr/
https://unhabitat.org/world-cities-report-2022-envisaging-the-future-of-cities
2. G. Celik, U. D. Ulusar, A. Sarsenbay, and A. Taleb-Ahmed, ‘Innovative Parking Solutions in Smart Cities’, in 2023 8th International
Conference on Computer Science and Engineering (UBMK), Sep. 2023, pp. 51–56. doi: 10.1109/UBMK59864.2023.10286713.
3. U. D. Ulusar, G. Celik, and F. Al-Turjman, ‘Wireless Communication Aspects in the Internet of Things: An Overview’, in 2017 IEEE 42nd
Conference on Local Computer Networks Workshops (LCN Workshops), Oct. 2017, pp. 165–169. doi: 10.1109/LCN.Workshops.2017.82.
4. N. Saum, S. Sugiura, and M. Piantanakulchai, ‘Short-Term Demand and Volatility Prediction of Shared Micro-Mobility: a case study of
e-scooter in Thammasat University’, in 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), Nov. 2020, pp. 27–
32. doi: 10.1109/FISTS46898.2020.9264852.
5. R. B. Noland, ‘Scootin’ in the rain: Does weather affect micromobility?’, Transp. Res. Part Policy Pract., vol. 149, pp. 114–123, Jul. 2021,
doi: 10.1016/j.tra.2021.05.003.
6. A. A. Campbell, C. R. Cherry, M. S. Ryerson, and X. Yang, ‘Factors influencing the choice of shared bicycles and shared elect ric bikes in
Beijing’, Transp. Res. Part C Emerg. Technol., vol. 67, pp. 399–414, Jun. 2016, doi: 10.1016/j.trc.2016.03.004.
7. H. Younes, Z. Zou, J. Wu, and G. Baiocchi, ‘Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-
share in Washington, D.C.’, Transp. Res. Part Policy Pract., vol. 134, pp. 308–320, Apr. 2020, doi: 10.1016/j.tra.2020.02.021.
8. D. J. Reck, H. Haitao, S. Guidon, and K. W. Axhausen, ‘Explaining shared micromobility usage, competition and mode choice by modelling
empirical data from Zurich, Switzerland’, Transp. Res. Part C Emerg. Technol., vol. 124, p. 102947, Mar. 2021, doi:
10.1016/j.trc.2020.102947.
9. M. Abouelela, E. Chaniotakis, and C. Antoniou, ‘Understanding the landscape of shared-e-scooters in North America; Spatiotemporal
analysis and policy insights’, Transp. Res. Part Policy Pract., vol. 169, p. 103602, Mar. 2023, doi: 10.1016/j.tra.2023.103602.
10. K. Gebhart and R. B. Noland, ‘The impact of weather conditions on bikeshare trips in Washington, DC’, Transportation, vol. 41, no. 6,
pp. 1205–1225, Nov. 2014, doi: 10.1007/s11116-014-9540-7.
11. M. Hasan and V. P. Sisiopiku, ‘Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants’,
Future Transp., vol. 4, no. 1, Art. no. 1, Mar. 2024, doi: 10.3390/futuretransp4010008.
12. J. K. Mathew, M. Liu, and D. M. Bullock, ‘Impact of Weather on Shared Electric Scooter Utilization’, in 2019 IEEE Intelligent
Transportation Systems Conference (ITSC), Oct. 2019, pp. 4512–4516. doi: 10.1109/ITSC.2019.8917121.
13. U. D. Ulusar, G. Celik, E. Turk, F. Al-Turjman, and H. Guvenc, ‘Accurate indoor localization for ZigBee networks’, in 2018 3rd
International Conference on Computer Science and Engineering (UBMK), IEEE, 2018, pp. 514–517. Accessed: Dec. 11, 2024. [Online].
Available: https://ieeexplore.ieee.org/abstract/document/8566532/
14. G. Celik, M. Baimagambetova, and V. Abromavičius, ‘A Review of Fingerprinting Techniques for Smart Cities’, in 2022 IEEE Open
Conference of Electrical, Electronic and Information Sciences (eStream), Apr. 2022, pp. 1–4. doi: 10.1109/eStream56157.2022.9781754.
15. ‘GEZ’. Accessed: Dec. 12, 2024. [Online]. Available: https://gezmobility.com/
16. ‘Meteoroloji Genel Müdürlüğü’. Accessed: Aug. 20, 2024. [Online]. Available: https://mevbis.mgm.gov.tr/
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