The Challenge of Data Analytics with Climate-neutral Urban Mobility

(Vision Paper)

verfasst von

Stephan Winter, Monika Sester, Martin Tomko, Alexandra Millonig

Abstract

Urban mobility is a major contributor to human-induced climate change, a challenge that urban and transport planning and spatial computing academic communities have been actively addressing. In this article we argue, however, that the common data analytics research into incremental efficiency improvements of originally non-sustainable urban mobility systems will never be able to help reach climate neutrality-the goal we must achieve by 2050 as per the Paris Agreement. This imperative is exacerbated by the observation that improvements, by data analytics, in one segment of urban mobility typically have unintended and often adverse consequences in other segments. In this vision paper we argue for a data analytics agenda to advance climate action at the core of urban mobility research. This agenda must disrupt the way we think and operate, as much as it is disrupting the accessibility issues of society in cities.

Organisationseinheit(en)

Institut für Kartographie und Geoinformatik

Externe Organisation(en)

University of Melbourne
AIT Austrian Institute of Technology GmbH

Typ

Artikel

Journal

ACM Transactions on Spatial Algorithms and Systems

Band

10

Anzahl der Seiten

10

ISSN

2374-0353

Publikationsdatum

01.07.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Signalverarbeitung, Information systems, Modellierung und Simulation, Angewandte Informatik, Geometrie und Topologie, Diskrete Mathematik und Kombinatorik

Ziele für nachhaltige Entwicklung

SDG 13 – Klimaschutzmaßnahmen

Elektronische Version(en)

https://doi.org/10.1145/3649312 (Zugang: Offen)