Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky

Eleni Nalmpantidou; Dimitrios Sarafidis; Andreas Nikiforiadis; Nikiforos Stamatiadis; Grigorios Fountas; Socrates Basbas

doi:10.1007/978-3-031-97663-6_3

Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky

Eleni Nalmpantidou, Dimitrios Sarafidis, Andreas Nikiforiadis, Nikiforos Stamatiadis, Grigorios Fountas, Socrates Basbas

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the city of Lexington, Kentucky shared e-scooters made their appearance in the summer of 2019. This paper aims to examine which factors and how they affect the e-scooter demand based on data related to Lexington, KY. The data were obtained from two e-scooter sharing companies, Bird and Spin, and covered the entire year of 2022. Using this data, the characteristics influencing demand were analyzed, and behaviors and patterns were identified. Specifically, the analysis was conducted both in terms of the general and temporal characteristics of the recorded trips through graphs, and spatially through the creation of appropriate maps. The findings showed that e-scooter usage is greater in the city center and is affected by months, weather, days, and hours. In addition, by depicting points and areas of interest and comparing them with areas with increased demand, the main reason of a trip undertaken with an e-scooter, can be determined. The University of Kentucky community, although constituting 14% of the population, appears to represent a much larger percentage of e-scooter users, thus significantly influencing the demand profile.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2025 Workshops, Proceedings
Editors	Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, Yeliz Karaca, Maria Noelia Faginas Lago, Francesco Scorza, Ana Cristina Braga
Pages	35-47
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-031-97663-6_3
State	Published - 2026
Event	Workshops of the International Conference on Computational Science and Its Applications, ICCSA 2025 - Istanbul, Turkey Duration: Jun 30 2025 → Jul 3 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	15899 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshops of the International Conference on Computational Science and Its Applications, ICCSA 2025
Country/Territory	Turkey
City	Istanbul
Period	6/30/25 → 7/3/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

demand analysis
e-scooters
micromobility
spatial analysis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-97663-6_3

Cite this

Nalmpantidou, E., Sarafidis, D., Nikiforiadis, A., Stamatiadis, N., Fountas, G., & Basbas, S. (2026). Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky. In O. Gervasi, B. Murgante, C. Garau, Y. Karaca, M. N. Faginas Lago, F. Scorza, & A. C. Braga (Eds.), Computational Science and Its Applications – ICCSA 2025 Workshops, Proceedings (pp. 35-47). (Lecture Notes in Computer Science; Vol. 15899 LNCS). https://doi.org/10.1007/978-3-031-97663-6_3

Nalmpantidou, Eleni ; Sarafidis, Dimitrios ; Nikiforiadis, Andreas et al. / Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky. Computational Science and Its Applications – ICCSA 2025 Workshops, Proceedings. editor / Osvaldo Gervasi ; Beniamino Murgante ; Chiara Garau ; Yeliz Karaca ; Maria Noelia Faginas Lago ; Francesco Scorza ; Ana Cristina Braga. 2026. pp. 35-47 (Lecture Notes in Computer Science).

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abstract = "In the city of Lexington, Kentucky shared e-scooters made their appearance in the summer of 2019. This paper aims to examine which factors and how they affect the e-scooter demand based on data related to Lexington, KY. The data were obtained from two e-scooter sharing companies, Bird and Spin, and covered the entire year of 2022. Using this data, the characteristics influencing demand were analyzed, and behaviors and patterns were identified. Specifically, the analysis was conducted both in terms of the general and temporal characteristics of the recorded trips through graphs, and spatially through the creation of appropriate maps. The findings showed that e-scooter usage is greater in the city center and is affected by months, weather, days, and hours. In addition, by depicting points and areas of interest and comparing them with areas with increased demand, the main reason of a trip undertaken with an e-scooter, can be determined. The University of Kentucky community, although constituting 14\% of the population, appears to represent a much larger percentage of e-scooter users, thus significantly influencing the demand profile.",

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Nalmpantidou, E, Sarafidis, D, Nikiforiadis, A, Stamatiadis, N, Fountas, G & Basbas, S 2026, Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky. in O Gervasi, B Murgante, C Garau, Y Karaca, MN Faginas Lago, F Scorza & AC Braga (eds), Computational Science and Its Applications – ICCSA 2025 Workshops, Proceedings. Lecture Notes in Computer Science, vol. 15899 LNCS, pp. 35-47, Workshops of the International Conference on Computational Science and Its Applications, ICCSA 2025, Istanbul, Turkey, 6/30/25. https://doi.org/10.1007/978-3-031-97663-6_3

Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky. / Nalmpantidou, Eleni; Sarafidis, Dimitrios; Nikiforiadis, Andreas et al.
Computational Science and Its Applications – ICCSA 2025 Workshops, Proceedings. ed. / Osvaldo Gervasi; Beniamino Murgante; Chiara Garau; Yeliz Karaca; Maria Noelia Faginas Lago; Francesco Scorza; Ana Cristina Braga. 2026. p. 35-47 (Lecture Notes in Computer Science; Vol. 15899 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky

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AU - Sarafidis, Dimitrios

AU - Nikiforiadis, Andreas

AU - Stamatiadis, Nikiforos

AU - Fountas, Grigorios

AU - Basbas, Socrates

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - In the city of Lexington, Kentucky shared e-scooters made their appearance in the summer of 2019. This paper aims to examine which factors and how they affect the e-scooter demand based on data related to Lexington, KY. The data were obtained from two e-scooter sharing companies, Bird and Spin, and covered the entire year of 2022. Using this data, the characteristics influencing demand were analyzed, and behaviors and patterns were identified. Specifically, the analysis was conducted both in terms of the general and temporal characteristics of the recorded trips through graphs, and spatially through the creation of appropriate maps. The findings showed that e-scooter usage is greater in the city center and is affected by months, weather, days, and hours. In addition, by depicting points and areas of interest and comparing them with areas with increased demand, the main reason of a trip undertaken with an e-scooter, can be determined. The University of Kentucky community, although constituting 14% of the population, appears to represent a much larger percentage of e-scooter users, thus significantly influencing the demand profile.

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Nalmpantidou E, Sarafidis D, Nikiforiadis A, Stamatiadis N, Fountas G, Basbas S. Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky. In Gervasi O, Murgante B, Garau C, Karaca Y, Faginas Lago MN, Scorza F, Braga AC, editors, Computational Science and Its Applications – ICCSA 2025 Workshops, Proceedings. 2026. p. 35-47. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-97663-6_3

Spatiotemporal Analysis of e-scooter Demand in Lexington, Kentucky

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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