Skip to main navigation
Skip to search
Skip to main content
Heriot-Watt Research Portal Home
Help & FAQ
Link opens in a new tab
Search content at Heriot-Watt Research Portal
Home
Profiles
Research units
Research output
Datasets
Impacts
Equipment
Prizes
Activities
Press/Media
Courses
Modelling shopping transport energy performance to explore low carbon potentials
Ming Bai
*
,
Susan Krumdieck
*
Corresponding author for this work
School of Energy, Geoscience, Infrastructure and Society
Institute for Life and Earth Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Modelling shopping transport energy performance to explore low carbon potentials'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
modeling
100%
performance
100%
potentials
100%
carbon
100%
transport (energy)
100%
energy consumption
60%
cities
40%
travel
40%
data
20%
density
20%
probabilistic estimation
20%
comparative evaluations
20%
gravitation
20%
china
20%
distance
20%
metrics
20%
spatial distribution
20%
new zealand
20%
cars
20%
gis
20%
Social Sciences
Energy Consumption
100%
Residential Density
100%
New Zealand
100%
China
100%
Travel Pattern
100%
Earth and Planetary Sciences
Energy Use
100%
Spatial Distribution
50%
Spatial Interaction Modeling
50%
New Zealand
50%
Geographic Information Systems
50%
China
50%
Energy Consumption
50%
Energy Utilization
50%
Economics, Econometrics and Finance
Energy Use
100%