Abstract
Cities are under continuous pressure due to an increasing urbanization
which will have far-reaching consequences for housing, transportation, retail, etc. To
cope with these challenges, methodological advances in quantitative modeling coupled
with growing amounts of spatial and spatiotemporal data can add significantly
to our understanding of how cities function. Because the added value of data-driven
approaches to analyze urban environments is promising but still in its infancy,
the present volume aims to promote the application of advanced computational
methodologies to achieve a better understanding of our cities and the underlying
mechanisms.
which will have far-reaching consequences for housing, transportation, retail, etc. To
cope with these challenges, methodological advances in quantitative modeling coupled
with growing amounts of spatial and spatiotemporal data can add significantly
to our understanding of how cities function. Because the added value of data-driven
approaches to analyze urban environments is promising but still in its infancy,
the present volume aims to promote the application of advanced computational
methodologies to achieve a better understanding of our cities and the underlying
mechanisms.
| Original language | English |
|---|---|
| Title of host publication | Computational Approaches for Urban Environments |
| Editors | M Helbich, J Jokar Arsanjani, M Leitner |
| Place of Publication | Heidelberg |
| Publisher | Springer |
| Pages | 1-8 |
| ISBN (Print) | 978-3-319-11469-9 |
| DOIs | |
| Publication status | Published - 2015 |
Publication series
| Name | Geotechnologies and the Environment |
|---|---|
| Volume | 13 |
Keywords
- Urban environments
- Geographic information science
- Spatial statistics
- New science of cities