An integrated framework for managing the complex interdependence between infrastructures and the socioeconomic environment: An application in metropolitan Atlanta
Authored by Zhongming Lu, John Crittenden, Frank Southworth, Ellen Dunham-Jones
Date Published: 2017
DOI: 10.1177/0042098016652555
Sponsors:
United States National Science Foundation (NSF)
Brook Byers Institute for Sustainable Systems
Hightower Chair and Georgia Research Alliance
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
In this study, we introduce an integrated framework for managing the
complex interdependence between urban infrastructures and the
socioeconomic environment within which it evolves, in pursuit of
sustainable and environmentally cleaner urban living. The framework
addresses the nature of individual preferences for more sustainable
urban infrastructures, and how we can use this knowledge to improve
urban form in ways that reduce environmental impacts. Using metropolitan
Atlanta as a case study, we developed a survey that focuses on the
preferences of Atlanta residents for low-impact development (LID) and
transit-oriented development (TOD), with responses collected on the
Mechanical Turk crowed-source platform. Using these responses we
developed a latent-class residential community choice model for four
distinctive classes of respondents that revealed heterogeneous
preferences for community amenities. Next, we integrated the results of
these individual choices into an agent-based market diffusion model, to
predict land-use pattern, and to explore policies that drive greater
adoption of more compact development. Finally, we used the results of
this data collection and modelling to estimate the carbon emission
reduction potentials from more compact development driven by LID and
TOD. In the future, we will continuously refine the steps and address
the issues including survey sample bias to make the framework more
reliable and useful for sustainable urban infrastructure planning,
design and implementation.
Tags
Agent-based model
Complexity
Design
Land-use
systems
transportation
urban form
Strategies
Impact
Green
Preference
Transit-oriented development
Compact development
Latent-class choice
model
Sustainable urban infrastructure
Storm-water management