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Spatial Data Management for Green Mobility

Authors:

Christophe Claramunt,

Christine Bassem,

Demetrios Zeinalipour-Yazti,

Goce Trajcevski,

Kristian TorpAuthors Info & Claims

SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems

Article No.: 76, Pages 1 - 4

https://doi.org/10.1145/3589132.3625626

Published: 22 December 2023 Publication History

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.

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Cited By

Constantinou SCosta CCosta CKonstantinidis AKonstantinidis AMokbel MZeinalipour-Yazti D(2024)A Framework for Continuous kNN Ranking of EV Chargers with Estimated Components2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00403(5341-5353)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00403

Index Terms

Spatial Data Management for Green Mobility
1. Information systems
  1. Data management systems
    1. Database management system engines
  2. Information systems applications

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cover image ACM Conferences

SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems

November 2023

686 pages

ISBN:9798400701689

DOI:10.1145/3589132

Copyright © 2023 Owner/Author(s).

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 December 2023

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SIGSPATIAL '23

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SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems

November 13 - 16, 2023

Hamburg, Germany

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Cited By

Constantinou SCosta CCosta CKonstantinidis AKonstantinidis AMokbel MZeinalipour-Yazti D(2024)A Framework for Continuous kNN Ranking of EV Chargers with Estimated Components2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00403(5341-5353)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00403

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