User Review-Driven Recommendation Model for E-Scooter Selection

Year : 2025 | Volume : 12 | 03 | Page :
    By

    Khushi Gupta,

  • Aarohi Chaudhary,

  • Shobha Chaudhary,

  • Khushi Kaushik,

  • Shobha Chaudhary,

Abstract

In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an overwhelming variety of models, features, and price ranges, which often complicates the decision-making process. This research aims to develop a user review-driven recommendation framework that assists potential buyers in selecting the most suitable e-scooter based on their preferences and requirements. By analyzing online customer reviews from multiple platforms, the study identifies critical factors influencing user satisfaction, including performance, battery life, durability, comfort, design, safety, and affordability. Sentiment analysis techniques are employed to extract meaningful insights from large volumes of unstructured review data, transforming subjective opinions into measurable indicators for comparison. The proposed framework not only enhances the accuracy of e-scooter recommendations but also empowers consumers with data-driven insights, reducing the need for time-consuming manual review analysis. Furthermore, the study highlights how integrating user-generated content into decision-support systems can improve product quality, foster customer trust, and encourage the wider adoption of sustainable urban transportation solutions.

Keywords: E-Bike, maintenance concern, brand comparison, natural language processing (NLP), ecofriendly vehicles, review based analysis

How to cite this article:
Khushi Gupta, Aarohi Chaudhary, Shobha Chaudhary, Khushi Kaushik, Shobha Chaudhary. User Review-Driven Recommendation Model for E-Scooter Selection. Trends in Transport Engineering and Applications. 2025; 12(03):-.
How to cite this URL:
Khushi Gupta, Aarohi Chaudhary, Shobha Chaudhary, Khushi Kaushik, Shobha Chaudhary. User Review-Driven Recommendation Model for E-Scooter Selection. Trends in Transport Engineering and Applications. 2025; 12(03):-. Available from: https://journals.stmjournals.com/ttea/article=2025/view=234965


References

  1. Eccarius T, Lu CC. Powered two-wheelers for sustainable mobility: A review of consumer adoption of electric motorcycles. Int J Sustain Transp. 2020;14:215-31. doi:10.1080/15568318.2018.1540735.
  2. Roy A, Das A, Ghosh A, Ray M, Tewari A, Chattaraj D. Exploring the relationship of factors affecting consumers’ buying behaviour for scooty in Kolkata. Am J Bus Manag Res. 2024;5:5.
  3. 6McAuley J, Yang A. Addressing complex and subjective product-related queries with customer reviews. In: Proc 25th Int Conf World Wide Web. Int World Wide Web Conf Steering Committee; 2016. p. 625-35. doi:10.1145/2872427.2883044.
  4. Ho MHW, Chung HFL. Customer engagement, customer equity and repurchase intention in mobile apps. J Bus Res. 2020;121:13-21. doi:10.1016/j.jbusres.2020.07.046.
  5. Kazemzadeh K, Ronchi E. From bike to electric bike level-of-service. Transp Rev. 2022;42:6-31. doi:10.1080/01441647.2021.1900450.
  6. Fishman E, Cherry C. E-bikes in the mainstream: Reviewing a decade of research. Transp Rev. 2016;36:72-91. doi:10.1080/01441647.2015.1069907.
  7. Narayanan S, Antoniou C. Electric cargo cycles – A comprehensive review. Transp Policy. 2022;116:278-303. doi:10.1016/j.tranpol.2021.12.011.
  8. Brezovec P, Hampl N. Electric vehicles ready for breakthrough in MaaS? Consumer adoption of e-car sharing and e-scooter sharing as a part of mobility-as-a-service (MaaS). Energies. 2021;14:1088. doi:10.3390/en14041088.
  9. Hwang JJ. Sustainable transport strategy for promoting zero-emission electric scooters in Taiwan. Renew Sustain Energy Rev. 2010;14:1390-9. doi:10.1016/j.rser.2010.01.014.
  10. Yong JY, Ramachandaramurthy VK, Tan KM, Mithulananthan N. A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects. Renew Sustain Energy Rev. 2015;49:365-85. doi:10.1016/j.rser.2015.04.130.
  11. Ding N, Prasad K, Lie TT. The electric vehicle: A review. Int J Electr Hybrid Veh. 2017;9:49-66. doi:10.1504/IJEHV.2017.082816.
  12. Larminie J, Lowry J. Electric Vehicle Technology Explained. Hoboken (NJ): John Wiley & Sons; 2012. doi:10.1002/9781118361146.
  13. Situ L. Electric vehicle development: The past, present & future. In: Proc 3rd Int Conf Power Electron Syst Appl (PESA). IEEE; 2009. p. 1-3.
  14. Tran M, Banister D, Bishop JDK, McCulloch MD. Realizing the electric-vehicle revolution. Nat Clim Chang. 2012;2:328-33. doi:10.1038/nclimate1429.
  15. Kumar MS, Revankar ST. Development scheme and key technology of an electric vehicle: An overview. Renew Sustain Energy Rev. 2017;70:1266-85. doi:10.1016/j.rser.2016.12.027.
  16. Poullikkas A. Sustainable options for electric vehicle technologies. Renew Sustain Energy Rev. 2015;41:1277-87. doi:10.1016/j.rser.2014.09.016.
  17. Xing J, Leard B, Li S. What does an electric vehicle replace? J Environ Econ Manag. 2021;107:102432. doi:10.1016/j.jeem.2021.102432.
  18. Mitropoulos L, Stavropoulou E, Tzouras P, Karolemeas C, Kepaptsoglou K. E-scooter micromobility systems: Review of attributes and impacts. Transp Res Interdiscip Perspect. 2023;21:100888. doi:10.1016/j.trip.2023.100888.
  19. Button K, Frye H, Reaves D. Economic regulation and e-scooter networks in the USA. Res Transp Econ. 2020;84:100973. doi:10.1016/j.retrec.2020.100973.
  20. Schellong D, Sadek P, Schaetzberger C, Barrack T. The promise and pitfalls of e-scooter sharing. Europe. 2019;12.
  21. Singh P, Jami M, Geller J, Granger C, Geaney L, Aiyer A, et al. The impact of e-scooter injuries: A systematic review of 34 studies. Bone Joint Open. 2022;3:674-83. doi:10.1302/2633-1462.39.BJO-2022-0096.R1. PubMed: 36039663.
  22. Trivedi TK, Liu C, Antonio ALM, Wheaton N, Kreger V, Yap A, et al. Injuries associated with standing electric scooter use. JAMA Netw Open. 2019;2:e187381. doi:10.1001/jamanetworkopen.2018.7381. PubMed: 30681711.
  23. Guo Y, Zhang Y. Understanding factors influencing shared e-scooter usage and its impact on auto mode substitution. Transp Res D. 2021;99:102991. doi:10.1016/j.trd.2021.102991.
  24. Jiao J, Bai S. Understanding the shared e-scooter travels in Austin, TX. ISPRS Int J Geo-Inf. 2020;9:135. doi:10.3390/ijgi9020135. PubMed: 38818355.
  25. Khande MS, Patil AS, Andhale GC, Shirsat RC. Design and development of electric scooter. Energy. 2020;40:100.
  26. Wang K, Qian X, Fitch DT, Lee Y, Malik J, Circella G. What travel modes do shared e-scooters displace? A review of recent research findings. Transp Rev. 2023;43:5-31. doi:10.1080/01441647.2021.2015639.
  27. Bozzi AD, Aguilera A. Shared e-scooters: A review of uses, health and environmental impacts, and policy implications of a new micro-mobility service. Sustainability. 2021;13:8676. doi:10.3390/su13168676.
  28. Mehzabin Tuli FM, Mitra S, Crews MB. Factors influencing the usage of shared e-scooters in Chicago. Transp Res A Policy Pract. 2021;154:164-85. doi:10.1016/j.tra.2021.10.008.
  29. Wang Y, Wu J, Chen K, Liu P. Are shared electric scooters energy efficient? Commun Transp Res. 2021;1:100022. doi:10.1016/j.commtr.2021.100022.
  30. Mitra R, Hess PM. Who are the potential users of shared e-scooters? An examination of sociodemographic, attitudinal and environmental factors. Travel Behav Soc. 2021;23:100-7. doi:10.1016/j.tbs.2020.12.004.
  31. Dibaj S, Hosseinzadeh A, Mladenović MN, Kluger R. Where have shared e-scooters taken us so far? A review of mobility patterns, usage frequency, and personas. Sustainability. 2021;13:11792. doi:10.3390/su132111792.
  32. Hollingsworth J, Copeland B, Johnson JX. Are e-scooters polluters? The environmental impacts of shared dockless electric scooters. Environ Res Lett. 2019;14:084031. doi:10.1088/1748-9326/ab2da8.
  33. Aman JJC, Smith-Colin J, Zhang W. Listen to e-scooter riders: Mining rider satisfaction factors from app store reviews. Transp Res D Transp Environ. 2021;95:102856. doi:10.1016/j.trd.2021.102856.
  34. Askari S, Javadinasr M, Peiravian F, Khan NA, Auld J, Mohammadian AK. Loyalty toward shared e-scooter: Exploring the role of service quality, satisfaction, and environmental consciousness. Travel Behav Soc. 2024;37:100856. doi:10.1016/j.tbs.2024.100856.
  35. Ahn H, Park E. The impact of consumers’ sustainable electronic-word-of-mouth in purchasing sustainable mobility: An analysis from online review comments of e-commerce. Res Transp Bus Manag. 2024;52:101086. doi:10.1016/j.rtbm.2023.101086.
  36. Çallı L, Çallı BA. Value-centric analysis of user adoption for sustainable urban micro-mobility transportation through shared e-scooter services. Sustain Dev. 2024;32:6408-33. doi:10.1002/sd.3032.
  37. Kazemzadeh K, Sprei F. Towards an electric scooter level of service: A review and framework. Travel Behav Soc. 2022;29:149-64. doi:10.1016/j.tbs.2022.06.005.
  38. Degele J, Gorr A, Haas K, Kormann D, Krauss S, Lipinski P, et al. Identifying e-scooter sharing customer segments using clustering. 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Stuttgart, Germany. 2018. p. 1-8. doi:10.1109/ICE.2018.8436288.
  39. Severengiz S, Schelte N, Bracke S. Analysis of the environmental impact of e-scooter sharing services considering product reliability characteristics and durability. Procedia CIRP. 2021;96:181-8. doi:10.1016/j.procir.2021.01.072.
  40. Benara V, Mitra A. Factors affecting the most and least favourable electric scooter brands in India. FORE School of Management; 2022.
  41. Abagnale C, Cardone M, Iodice P, Marialto R, Strano S, Terzo M, Vorraro G. Design and development of an innovative e-bike. Energy Procedia. 2016;101:774-81. doi:10.1016/j.egypro.2016.11.098.
  42. McQueen M, MacArthur J, Cherry C. The E-bike potential: Estimating regional e-bike impacts on greenhouse gas emissions. Transp Res D Transp Environ. 2020;87:102482. doi:10.1016/j.trd.2020.102482.
  43. Haustein S, Møller M. E-bike safety: Individual-level factors and incident characteristics. J Transp Health. 2016;3:386-94. doi:10.1016/j.jth.2016.07.001.
  44. Weber T, Scaramuzza G, Schmitt KU. Evaluation of e-bike accidents in Switzerland. Accid Anal Prev. 2014;73:47-52. doi:10.1016/j.aap.2014.07.020. PubMed:25173724.
Ahead of Print Subscription Review Article
Volume 12
03
Received 26/05/2025
Accepted 01/09/2025
Published 10/09/2025
Publication Time 107 Days
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