Title : ( The Impact of Built Environment Characteristics on Energy Consumption Using Geographically Weighted Regression in Mashhad, )
Authors: bita rezaeian , Mohammad Rahim Rahnama , Jafar Javan , Omid Ali Kharazmi ,Abstract
Concerns over rising fuel consumption have prompted research into the influences of built environments on travel behavior. On the basis of data from origin-destination(OD) travel survey data of Mashhad (74287 trip data in 2011) and using Geographically Weighted Regression, socio-demographic characteristics, are shown to be strongly and positively associated with the fuel consumption per capita (car ownership elasticity=0.347878); we also found a positive association between distance to center and designs that are not pedestrian friendly with fuel consumption (average block size=0.147489, distance to center =0.334953) Although the study demonstrates a moderately strong negative elasticity between population density and the fuel consumption(population density = -0.259335). It suggests that the largest energy consumption reductions would come from creating compact communities which have land-use diversity and more walkable areas with pedestrian cycling infrastructure around all of the stations along transit lines. In order to enhance a sustainable urban plan, the socio-economic driving factors should be considered as one of the main element of energy consumption as well.
Keywords
, built environment, energy consumption, GWR@article{paperid:1065305,
author = {Rezaeian, Bita and Rahnama, Mohammad Rahim and Javan, Jafar and Kharazmi, Omid Ali},
title = {The Impact of Built Environment Characteristics on Energy Consumption Using Geographically Weighted Regression in Mashhad,},
journal = {Journal of Sustainable Development},
year = {2017},
volume = {10},
number = {5},
month = {October},
issn = {1913-9063},
pages = {198--216},
numpages = {18},
keywords = {built environment; energy consumption; GWR},
}
%0 Journal Article
%T The Impact of Built Environment Characteristics on Energy Consumption Using Geographically Weighted Regression in Mashhad,
%A Rezaeian, Bita
%A Rahnama, Mohammad Rahim
%A Javan, Jafar
%A Kharazmi, Omid Ali
%J Journal of Sustainable Development
%@ 1913-9063
%D 2017