Details
| Original language | English |
|---|---|
| Article number | 16 |
| Number of pages | 10 |
| Journal | ACM Transactions on Spatial Algorithms and Systems |
| Volume | 10 |
| Issue number | 2 |
| Early online date | 23 Feb 2024 |
| Publication status | Published - 1 Jul 2024 |
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.
Keywords
- climate action, climate change, data analytics, emissions, Urban mobility
ASJC Scopus subject areas
- Computer Science(all)
- Signal Processing
- Computer Science(all)
- Information Systems
- Mathematics(all)
- Modelling and Simulation
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Geometry and Topology
- Mathematics(all)
- Discrete Mathematics and Combinatorics
Sustainable Development Goals
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In: ACM Transactions on Spatial Algorithms and Systems, Vol. 10, No. 2, 16, 01.07.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - The Challenge of Data Analytics with Climate-neutral Urban Mobility
T2 - (Vision Paper)
AU - Winter, Stephan
AU - Sester, Monika
AU - Tomko, Martin
AU - Millonig, Alexandra
N1 - Publisher Copyright: © 2024 Copyright held by the owner/author(s).
PY - 2024/7/1
Y1 - 2024/7/1
N2 - 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.
AB - 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.
KW - climate action
KW - climate change
KW - data analytics
KW - emissions
KW - Urban mobility
UR - http://www.scopus.com/inward/record.url?scp=85198030932&partnerID=8YFLogxK
U2 - 10.1145/3649312
DO - 10.1145/3649312
M3 - Article
AN - SCOPUS:85198030932
VL - 10
JO - ACM Transactions on Spatial Algorithms and Systems
JF - ACM Transactions on Spatial Algorithms and Systems
SN - 2374-0353
IS - 2
M1 - 16
ER -