The Challenge of Data Analytics with Climate-neutral Urban Mobility

(Vision Paper)

authored by

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.

Organisation(s)

Institute of Cartography and Geoinformatics

External Organisation(s)

University of Melbourne
AIT Austrian of Institute of Technology GmbH

Type

Article

Journal

ACM Transactions on Spatial Algorithms and Systems

Volume

10

No. of pages

10

ISSN

2374-0353

Publication date

01.07.2024

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Signal Processing, Information Systems, Modelling and Simulation, Computer Science Applications, Geometry and Topology, Discrete Mathematics and Combinatorics

Sustainable Development Goals

SDG 13 - Climate Action

Electronic version(s)

https://doi.org/10.1145/3649312 (Access: Open)