Spatial data management for green mobility

• Main Authors: Claramunt, Christophe, Bassem, Christine, Zeinalipour-Yazti, Demetrios, ZHENG, Baihua, Trajcevski, Goce, Torp, Kristian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: data infrastructure; green mobility; mobile data management; Databases and Information Systems; Environmental Sciences; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/8639; https://ink.library.smu.edu.sg/context/sis_research/article/9642/viewcontent/3589132.3625626_pvoa_cc_by.pdf
• Institution: Singapore Management University

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.