In this section
@article{Keirstead:2012:10.1111/j.1530-9290.2012.00486.x,
author = {Keirstead, JE and Sivakumar, A},
doi = {10.1111/j.1530-9290.2012.00486.x},
journal = {Journal of Industrial Ecology},
title = {Using Activity-Based Modeling to Simulate Urban Resource Demands at High Spatial and Temporal Resolutions},
url = {http://dx.doi.org/10.1111/j.1530-9290.2012.00486.x},
volume = {2012},
year = {2012}
}
TY - JOUR
AB - Cities are increasingly recognized as major contributors to global resourceconsumption and other environmental problems. To date, urban industrialecology literature has focused largely on assessments of urban performance atannual whole-city scales, for example in descriptive urban metabolism studiesor strategic assessments of future policy directions. However implementingthese strategies and constructing e cient urban infrastructures in particularrequires greater spatial and temporal resolution in the underlying demanddata. As this information is rarely available, we demonstrate how activity-based modelling can be used to simulate these demand pro les. The methodis rst described in general before demonstrating its use in the simulationof electricity and gas demands in London. A simple regression model isused to convert activity pro les into resource demands and we discuss thestrengths and weaknesses of this approach, as well as evaluate future researchdirections.
AU - Keirstead,JE
AU - Sivakumar,A
DO - 10.1111/j.1530-9290.2012.00486.x
PY - 2012///
TI - Using Activity-Based Modeling to Simulate Urban Resource Demands at High Spatial and Temporal Resolutions
T2 - Journal of Industrial Ecology
UR - http://dx.doi.org/10.1111/j.1530-9290.2012.00486.x
VL - 2012
ER -
Climate Science
Earth and Life Sciences
Energy and Low-Carbon Futures
Resources and Pollution
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