Investigating the Impacts of Urban Built Environment on Travel Energy Consumption: A Case Study of Ningbo, China

被引:1
|
作者
Wu, Wei [1 ]
Xue, Binxia [2 ,3 ]
Song, Yan [4 ]
Gong, Xujie [5 ]
Ma, Tao [6 ]
机构
[1] Hebei Univ Engn, Sch Architecture & Art, Handan 056038, Peoples R China
[2] Harbin Inst Technol, Sch Architecture, Harbin 150006, Peoples R China
[3] Harbin Inst Technol, Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement En, Harbin 150001, Peoples R China
[4] Univ North Carolina Chapel Hill, Dept City & Reg Planning, Chapel Hill, NC 27599 USA
[5] Harbin Inst Technol, Urban Design Inst, Sch Architecture, Harbin 150001, Peoples R China
[6] Harbin Inst Technol, Sch Econ & Management, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
urban built environment; travel energy consumption; multivariate linear regression; mixed land use; CARBON EMISSIONS; CHOICE;
D O I
10.3390/land12010209
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The built environment of cities has increasingly affected the travel mode of residents and led to changes in energy consumption, which is crucial to maintaining urban sustainability. Ningbo is a typical representative of urbanization on the east coast of China, and its energy consumption is in a period of rapid growth. Therefore, using the survey data of 22,112 traffic trip samples from nine streets in Ningbo, this paper establishes a regression analysis model, systematically analyzes the relationship between the built environment and domestic energy consumption from multiple dimensions, and reveals the impact mechanism of the built environment on domestic energy consumption. We find that (1) social and economic conditions are the main factors affecting traffic energy consumption. (2) The population density has a significant negative correlation effect on the energy consumption of transportation trips. When the population density increases by 1%, the energy consumption of total transportation trips, commuting trips, high-energy-consumption trips, and low-energy-consumption trips decreases by 0.094%, 0.115%, 0.273%, and 0.124%, respectively. (3) When the degree of mixed use of land increases by one percentage point, the energy consumption of total transportation trips, commuting trips, high-energy-consumption trips, and low-energy-consumption trips decreases by 0.415%, 0.421%, 2.574%, and 1.197%, respectively. (4) The density of road intersections has a significant negative correlation effect on the energy consumption of traffic trips. (5) The impact of the built environment on the energy consumption of transportation trips is greater than that of residential buildings.
引用
收藏
页数:19
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