A case study on the impact of Micromobility on Intersection Performance

Mehmet Rizelioğlu

Research Article

A case study on the impact of Micromobility on Intersection Performance

Year 2025, Volume: 9 Issue: 1, 15 - 27

Abstract

With increasing urbanization, problems such as traffic congestion and environmental pollution have become more pronounced. Alternative modes of transportation such as micromobility (bicycles, e-scooters, e-bikes, segways) have the potential to reduce these problems. This study analyzes the effects of micromobility on the performance of an intersection using a simulation-based approach. A four-arm signalized intersection in Nilüfer, Bursa, is taken as a model, and the impact of micromobility on intersection performance is evaluated in terms of "average vehicle speed", "queue delay", and "vehicle travel time" performance indicators. In the study, the inclusion of micromobility at low levels (2.5% and 5%) improves intersection performance, while at higher levels (7.5% and 10%) this improvement is reversed, resulting in longer travel times and lower speeds. Signal modification has shown an improvement in the performance of the intersection. However, these results suggest the need for special signaling studies for micromobility vehicles at intersections. The study provides important findings for transportation management and policy makers in micromobility planning.

Keywords

PTV VISSIM, Intersection, Micromobility

References

1. Comi, A., Polimeni, A. Assessing potential sustainability benefits of micromobility: a new data driven approach. Eur. Transp. Res. Rev. 16, 19 (2024). https://doi.org/10.1186/s12544-024-00640-6.
2. Vitetta, A. (2022). Sentiment Analysis Models with Bayesian Approach: A Bike Preference Application in Metropolitan Cities. Journal of Advanced Transportation, 2022, 1-12. https://doi.org/10.1155/2022/2499282 .
3. Redman, L., Friman, M., Gärling, T., & Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport Policy, 25, 119-127. https://doi.org/10.1016/j.tranpol.2012.11.005 .
4. Musolino, G., Rindone, C., & Vitetta, A. (2022). Models for Supporting Mobility as a Service (MaaS) Design. Smart Cities, 5(1), 206-222. https://doi.org/10.3390/smartcities5010013
5. Alyavina, E., Nikitas, A., & Tchouamou Njoya, E. (2020). Mobility as a service and sustainable travel behaviour: A thematic analysis study. Transportation Research Part F: Traffic Psychology and Behavior, 73, 362-381. https://doi.org/10.1016/j.trf.2020.07.004
6. Hensher, D. A. (2017). Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change? Transportation Research Part A: Policy and Practice, 98, 86-96. https://doi.org/10.1016/j.tra.2017.02.006.
7. Fan, Z., & Harper, C. D. (2022). Congestion and environmental impacts of short car trip replacement with micromobility modes. Transportation Research Part D: Transport and Environment, 103, 103173. https://doi.org/10.1016/j.trd.2022.103173.
8. Reck, D. J., Haitao, H., Guidon, S., & Axhausen, K. W. (2021). Explaining shared micromobility usage, competition and mode choice by modeling empirical data from Zurich, Switzerland. Transportation Research Part C: Emerging Technologies, 124, 102947. https://doi.org/10.1016/j.trc.2020.102947.
9. Abduljabbar, R. L., Liyanage, S., & Dia, H. (2021). The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transportation Research Part D: Transport and Environment, 92, 102734. https://doi.org/10.1016/j.trd.2021.102734.
10. Bardal, K. G., Gjertsen, A., & Reinar, M. B. (2020). Sustainable mobility: Policy design and implementation in three Norwegian cities. Transportation Research Part D: Transport and Environment, 82, 102330. https://doi.org/10.1016/j.trd.2020.102330.
11. Sun, S., & Ertz, M. (2022). Can shared micromobility programs reduce greenhouse gas emissions: Evidence from urban transportation big data. Sustainable Cities and Society, 85 104045. https://doi.org/10.1016/j.scs.2022.104045.
12. de Bortoli, A. (2021). Environmental performance of shared micromobility and personal alternatives using integrated modal LCA. Transportation Research Part D: Transport and Environment, 93, 102743. https://doi.org/10.1016/j.trd.2021.102743.
13. Asensio, O.I., Apablaza, C.Z., Lawson, M.C. et al. Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy. Nat Energy 7, 1100–1108 (2022). https://doi.org/10.1038/s41560-022-01135-1.
14. Comi, A., Hriekova, O., & Nigro, M. (2024). Exploring road safety in the era of micro-mobility: evidence from Rome. Transportation Research Procedia, 78, 55–62. https://doi.org/10.1016/j.trpro.2024.02.008.
15. Jasiūnienė, V., & Tumavičė, A. (2022). Impact of E-Scooters on Road Safety: A Case Study in Lithuania. The Baltic Journal of Road and Bridge Engineering, 17(4), 18–34. https://doi.org/10.7250/bjrbe.2022-17.577.
16. Barton-Aschman Associates. "Vehicle Occupancy Determinators" Arizona Department of Transportation, Virginia, Final Report, Report Number, FHWA-AZ89-252, August 1989.
17. IBB, (2011). Istanbul Metropolitan Area Urban Transportation Master Plan.
18. Christoforou, Z., de Bortoli, A., Gioldasis, C., & Seidowsky, R. (2021). Who is using e-scooters and how? Evidence from Paris. Transportation Research Part D: Transport and Environment, 92, 102708. https://doi.org/10.1016/j.trd.2021.102708.
19. Fearnley, N., Johnsson, E., & Berge, S. H. (2020). Patterns of E-Scooter Use in Combination with Public Transport. Findings. https://doi.org/10.32866/001c.13707.
20. PTV Group, 2020. Areas of Application for PTV Vissim [online cit.: 2020-08-16]. Available from: https://www.ptvgroup.com/en/solutions/products/ptv-vissim/areas-of-application/.
21. Brockfeld, E., Kühne, R. D., & Wagner, P. (2005). Calibration and Validation of Microscopic Models of Traffic Flow. Transportation Research Record: Journal of the Transportation Research Board, 1934(1), 179-187. https://doi.org/10.1177/0361198105193400119.
22. Raju, N., Chepuri, A., Arkatkar, S.S., & Joshi, G. (2020). A Simulation Study for Improving the Traffic Flow Efficiency of an Intersection Coupled with BRT.
23. Lewis, C.D. (1982) International and Business Forecasting Methods. Butterworths, London.
24. Dozza, M., Li, T., Billstein, L., Svernlöv, C., & Rasch, A. (2023). How do different micro-mobility vehicles affect longitudinal control? Results from a field experiment. Journal of Safety Research, 84, 24-32. https://doi.org/10.1016/j.jsr.2022.10.005 .
25. Lee, O., Rasch, A., Schwab, A. L., & Dozza, M. (2020). Modeling cyclists' comfort zones from obstacle avoidance manoeuvres. Accident Analysis & Prevention, 144, 105609. https://doi.org/10.1016/j.aap.2020.105609.
26. Garman, C., Como, S. G., Campbell, I. C., Wishart, J., O'Brien, K., & McLean, S. (2020). Micro-Mobility Vehicle Dynamics and Rider Kinematics during Electric Scooter Riding. SAE Technical Papers. https://doi.org/10.4271/2020-01-0935.

Year 2025, Volume: 9 Issue: 1, 15 - 27

Mehmet Rizelioğlu

Abstract

References

1. Comi, A., Polimeni, A. Assessing potential sustainability benefits of micromobility: a new data driven approach. Eur. Transp. Res. Rev. 16, 19 (2024). https://doi.org/10.1186/s12544-024-00640-6.
2. Vitetta, A. (2022). Sentiment Analysis Models with Bayesian Approach: A Bike Preference Application in Metropolitan Cities. Journal of Advanced Transportation, 2022, 1-12. https://doi.org/10.1155/2022/2499282 .
3. Redman, L., Friman, M., Gärling, T., & Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport Policy, 25, 119-127. https://doi.org/10.1016/j.tranpol.2012.11.005 .
4. Musolino, G., Rindone, C., & Vitetta, A. (2022). Models for Supporting Mobility as a Service (MaaS) Design. Smart Cities, 5(1), 206-222. https://doi.org/10.3390/smartcities5010013
5. Alyavina, E., Nikitas, A., & Tchouamou Njoya, E. (2020). Mobility as a service and sustainable travel behaviour: A thematic analysis study. Transportation Research Part F: Traffic Psychology and Behavior, 73, 362-381. https://doi.org/10.1016/j.trf.2020.07.004
6. Hensher, D. A. (2017). Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change? Transportation Research Part A: Policy and Practice, 98, 86-96. https://doi.org/10.1016/j.tra.2017.02.006.
7. Fan, Z., & Harper, C. D. (2022). Congestion and environmental impacts of short car trip replacement with micromobility modes. Transportation Research Part D: Transport and Environment, 103, 103173. https://doi.org/10.1016/j.trd.2022.103173.
8. Reck, D. J., Haitao, H., Guidon, S., & Axhausen, K. W. (2021). Explaining shared micromobility usage, competition and mode choice by modeling empirical data from Zurich, Switzerland. Transportation Research Part C: Emerging Technologies, 124, 102947. https://doi.org/10.1016/j.trc.2020.102947.
9. Abduljabbar, R. L., Liyanage, S., & Dia, H. (2021). The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transportation Research Part D: Transport and Environment, 92, 102734. https://doi.org/10.1016/j.trd.2021.102734.
10. Bardal, K. G., Gjertsen, A., & Reinar, M. B. (2020). Sustainable mobility: Policy design and implementation in three Norwegian cities. Transportation Research Part D: Transport and Environment, 82, 102330. https://doi.org/10.1016/j.trd.2020.102330.
11. Sun, S., & Ertz, M. (2022). Can shared micromobility programs reduce greenhouse gas emissions: Evidence from urban transportation big data. Sustainable Cities and Society, 85 104045. https://doi.org/10.1016/j.scs.2022.104045.
12. de Bortoli, A. (2021). Environmental performance of shared micromobility and personal alternatives using integrated modal LCA. Transportation Research Part D: Transport and Environment, 93, 102743. https://doi.org/10.1016/j.trd.2021.102743.
13. Asensio, O.I., Apablaza, C.Z., Lawson, M.C. et al. Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy. Nat Energy 7, 1100–1108 (2022). https://doi.org/10.1038/s41560-022-01135-1.
14. Comi, A., Hriekova, O., & Nigro, M. (2024). Exploring road safety in the era of micro-mobility: evidence from Rome. Transportation Research Procedia, 78, 55–62. https://doi.org/10.1016/j.trpro.2024.02.008.
15. Jasiūnienė, V., & Tumavičė, A. (2022). Impact of E-Scooters on Road Safety: A Case Study in Lithuania. The Baltic Journal of Road and Bridge Engineering, 17(4), 18–34. https://doi.org/10.7250/bjrbe.2022-17.577.
16. Barton-Aschman Associates. "Vehicle Occupancy Determinators" Arizona Department of Transportation, Virginia, Final Report, Report Number, FHWA-AZ89-252, August 1989.
17. IBB, (2011). Istanbul Metropolitan Area Urban Transportation Master Plan.
18. Christoforou, Z., de Bortoli, A., Gioldasis, C., & Seidowsky, R. (2021). Who is using e-scooters and how? Evidence from Paris. Transportation Research Part D: Transport and Environment, 92, 102708. https://doi.org/10.1016/j.trd.2021.102708.
19. Fearnley, N., Johnsson, E., & Berge, S. H. (2020). Patterns of E-Scooter Use in Combination with Public Transport. Findings. https://doi.org/10.32866/001c.13707.
20. PTV Group, 2020. Areas of Application for PTV Vissim [online cit.: 2020-08-16]. Available from: https://www.ptvgroup.com/en/solutions/products/ptv-vissim/areas-of-application/.
21. Brockfeld, E., Kühne, R. D., & Wagner, P. (2005). Calibration and Validation of Microscopic Models of Traffic Flow. Transportation Research Record: Journal of the Transportation Research Board, 1934(1), 179-187. https://doi.org/10.1177/0361198105193400119.
22. Raju, N., Chepuri, A., Arkatkar, S.S., & Joshi, G. (2020). A Simulation Study for Improving the Traffic Flow Efficiency of an Intersection Coupled with BRT.
23. Lewis, C.D. (1982) International and Business Forecasting Methods. Butterworths, London.
24. Dozza, M., Li, T., Billstein, L., Svernlöv, C., & Rasch, A. (2023). How do different micro-mobility vehicles affect longitudinal control? Results from a field experiment. Journal of Safety Research, 84, 24-32. https://doi.org/10.1016/j.jsr.2022.10.005 .
25. Lee, O., Rasch, A., Schwab, A. L., & Dozza, M. (2020). Modeling cyclists' comfort zones from obstacle avoidance manoeuvres. Accident Analysis & Prevention, 144, 105609. https://doi.org/10.1016/j.aap.2020.105609.
26. Garman, C., Como, S. G., Campbell, I. C., Wishart, J., O'Brien, K., & McLean, S. (2020). Micro-Mobility Vehicle Dynamics and Rider Kinematics during Electric Scooter Riding. SAE Technical Papers. https://doi.org/10.4271/2020-01-0935.

There are 26 citations in total.

Details

Primary Language	English
Subjects	Transportation and Traffic
Journal Section	Research Articles
Authors	Mehmet Rizelioğlu 0000-0002-8986-9399
Early Pub Date	April 17, 2025
Publication Date
Submission Date	October 17, 2024
Acceptance Date	February 17, 2025
Published in Issue	Year 2025Volume: 9 Issue: 1

Cite

APA	Rizelioğlu, M. (2025). A case study on the impact of Micromobility on Intersection Performance. Journal of Innovative Science and Engineering, 9(1), 15-27.
AMA	Rizelioğlu M. A case study on the impact of Micromobility on Intersection Performance. JISE. April 2025;9(1):15-27.
Chicago	Rizelioğlu, Mehmet. “A Case Study on the Impact of Micromobility on Intersection Performance”. Journal of Innovative Science and Engineering 9, no. 1 (April 2025): 15-27.
EndNote	Rizelioğlu M (April 1, 2025) A case study on the impact of Micromobility on Intersection Performance. Journal of Innovative Science and Engineering 9 1 15–27.
IEEE	M. Rizelioğlu, “A case study on the impact of Micromobility on Intersection Performance”, JISE, vol. 9, no. 1, pp. 15–27, 2025.
ISNAD	Rizelioğlu, Mehmet. “A Case Study on the Impact of Micromobility on Intersection Performance”. Journal of Innovative Science and Engineering 9/1 (April 2025), 15-27.
JAMA	Rizelioğlu M. A case study on the impact of Micromobility on Intersection Performance. JISE. 2025;9:15–27.
MLA	Rizelioğlu, Mehmet. “A Case Study on the Impact of Micromobility on Intersection Performance”. Journal of Innovative Science and Engineering, vol. 9, no. 1, 2025, pp. 15-27.
Vancouver	Rizelioğlu M. A case study on the impact of Micromobility on Intersection Performance. JISE. 2025;9(1):15-27.

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