Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2023
Abstract
While many countries are developing appropriate actions towards a greener future and moving towards adopting sustainable mobility activities, the real-time management and planning of innovative transportation facilities and services in urban environments still require the development of advanced mobile data management infrastructures. Novel green mobility solutions, such as electric, hybrid, solar and hydrogen vehicles, as well as public and gig-based transportation resources are very likely to reduce the carbon footprint. However, their successful implementation still needs efficient spatio-temporal data management resources and applications to provide a clear picture and demonstrate their effectiveness. This paper discusses the major data management challenges, open issues, and application opportunities closely related to urban green mobility. Additionally, it reports on recent successful experiences and challenging research questions. Furthermore, it highlights the global benefits one can expect when developing green mobility and emphasizes how mobile data infrastructures and services will play a crucial role in achieving these goals.
Keywords
data infrastructure, green mobility, mobile data management
Discipline
Databases and Information Systems | Environmental Sciences | Transportation
Research Areas
Data Science and Engineering
Publication
SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems: Hamburg, November 13-16
First Page
1
Last Page
4
ISBN
9798400701689
Identifier
10.1145/3589132.3625626
Publisher
ACM
City or Country
New York
Citation
Claramunt, Christophe; Bassem, Christine; Zeinalipour-Yazti, Demetrios; ZHENG, Baihua; Trajcevski, Goce; and Torp, Kristian.
Spatial data management for green mobility. (2023). SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems: Hamburg, November 13-16. 1-4.
Available at: https://ink.library.smu.edu.sg/sis_research/8639
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3589132.3625626
Included in
Databases and Information Systems Commons, Environmental Sciences Commons, Transportation Commons