2019
DOI: 10.1007/978-3-030-19424-6_11
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Correlating Household Travel Carbon Emissions, Travel Behavior and Land Use: Case Study of Wuhan, China

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Cited by 7 publications
(5 citation statements)
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“…This includes many aspects, such as land-use density, building height, and volume ratio, and it is one of the main characteristics of compact cities [ 72 ]. First, high-intensity development is the basis of the construction of public transport facilities, and this improves the possibility of centralized provision of public transport services for urban areas [ 98 ]. Second, the compact urban landscape can reduce the transport needs of residents [ 99 , 100 ].…”
Section: Resultsmentioning
confidence: 99%
“…This includes many aspects, such as land-use density, building height, and volume ratio, and it is one of the main characteristics of compact cities [ 72 ]. First, high-intensity development is the basis of the construction of public transport facilities, and this improves the possibility of centralized provision of public transport services for urban areas [ 98 ]. Second, the compact urban landscape can reduce the transport needs of residents [ 99 , 100 ].…”
Section: Resultsmentioning
confidence: 99%
“…However, the data collection can be costly, and historical data have often been employed to derive growth factors for projecting future VMT estimates. Three different types of data have been widely used, including household travel surveys (Handy et al 2005, Huang et al 2019, fuel-sales (Williams et al 2016), and vehicle-inspection (odometer-reading) data (Reardon et al 2016, Diao andFerreira 2014). More recently, big data (such as GPS-based, or cell phone data) have become available to estimate VMT but may need traditional data sources and models for validation (Fan et al 2019, NASEM 2019.…”
Section: Vmt Estimation Methodsmentioning
confidence: 99%
“…The former includes using data at the neighborhood or fine-grained grid level (Diao and Ferreira 2014). The latter relies on micro individual-level characteristics which generally are obtained from household surveys (McMullen and Eckstein, 2013;Huang et al, 2019). McMullen and Eckstein (2013) conclude that higher lane miles, income, and employment in construction and public sectors lead to increased VMT per capita, while fuel price, transit use, and urban population density show an inverse association with travel demand.…”
Section: Determinants Of Vmtmentioning
confidence: 99%
“…For travel-related carbon emissions, the status of the urban road system will have a structural impact on the overall e ciency of transportation (Cao &Yang 2017). The convenience of public transportation, the layout and accessibility of public service facilities and urban green spaces affect the travel modes of residents, thereby affecting travel-related carbon emissions (Huang et al 2019, Wang et al 2021b, Wolday 2023). The accessibility of public service facilities is signi cantly lower in newly developed urban areas and remote urban areas, resulting in longer average travel distances, greater use of motor vehicles, and higher transportation carbon emissions (Ma et al 2018).…”
Section: Urban Form and Carbon Emissions Of Residentsmentioning
confidence: 99%