Abstract
Understanding and influencing complex urban systems may be facilitated
by using urban models. However, results of these models may be seriously
compromised by the limitations of data quality and quantity, as well as by the
reduction of data and models to selected spatial and temporal scales. Limited
availability of data may result in choosing a model that is not well-suited for the
given purpose, i.e., for answering the questions posed by decision-makers. More
specifically, data may not be available in the required spatial or temporal resolution.
It may be outdated, and/or models may not be available to represent the variety of
fast and slow dynamics while they are concurrently occurring and interfering in a
complex urban system. We suggest that as the quantity and (potentially) the quality
of data may continue to increase, there may be new and improved approaches to
urban modeling that will better serve urban decision-makers. Clues about ways to
improve data input and to improve modeling will be given and further explained in
the contributions presented in the volume; this article serves as an introduction to
this volume.
| Originalsprache | Englisch |
|---|---|
| Titel | Understanding Complex Urban Systems-Integrating Multidisciplinary Data in Urban Models |
| Redakteure/-innen | Christian Walloth, Ernst Gebetsroither-Geringer, Funda Atun, Liss C. Werner |
| Seiten | 33-47 |
| Seitenumfang | 15 |
| Publikationsstatus | Veröffentlicht - 2016 |
Research Field
- Ehemaliges Research Field - Energy
Schlagwörter
- Complex systems Urban systems Modeling Data quality Data