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A Research On Neighborhood Built Environment And Household Travel Energy Consumption In Jinan

Posted on:2014-03-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y YangFull Text:PDF
GTID:1262330422460297Subject:Urban and rural planning
Abstract/Summary:PDF Full Text Request
At present, the transportation sector has consumed nearly20%of total energy inChina, which is one of the3biggest energy users as the industry sector and buildingsector. And with the rapid economic growth and urbanization happened in lastdecades in China, household travel energy is playing a more and more important role inthe transportation sector. Different with the manufacturing industry has relied almostexclusively on technological advances to address the problem of energy crisis, the paperbelieves that we can reduce the household travel energy through outstanding builtenvironment design which may lead to more walking, bicycling or public transit travel,such as mixed landuse, comfortable pedestrian environment, convenient public transitsystem and so on.This paper is supported by the “Making the Clean Energy City” Project funded bythe U.S. Energy Fundation, the “Energy-saving Neighborhood Urban Form Researechin Mega Cities in the Southern Region of North China” Project funded by theIndependent Research Fund of Tsinghua University, and the “Low Carbon UrbanDesign: From Options Assessment to Policy Implementation” Project funded by LowCarbon Energy University Alliance.Based on the Jinan household data collected in2009and2010, a multipleregression model was applied to test the relationship between neighborhood builtenvironment and household travel energy. It concluded that neighborhood builtenvironment has a significant relationship with household travel energy. This researchfinding suggests that the neighborhood planning and design should limit the householdtravel energy by job-housing balance, walkable environment design, convenient publictransit and so on.
Keywords/Search Tags:neighborhood built environment, household travel energy, multiple linearregression
PDF Full Text Request
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