2021
DOI: 10.1016/j.apenergy.2020.116271
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Quantifying the spillover elasticities of urban built environment configurations on the adjacent traffic CO2 emissions in mainland China

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Cited by 17 publications
(5 citation statements)
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“…As shown in Model (2)–(4), the three estimated coefficients of variable Did based on different models are all positive and statistically significant, which means implementing the LCCP policy significantly improved the GTFEE . Our findings are consistent with existing studies and confirm the positive role of LCCP policy on the environmental and economic aspects [ 15 , 43 , 46 ].…”
Section: Resultssupporting
confidence: 93%
“…As shown in Model (2)–(4), the three estimated coefficients of variable Did based on different models are all positive and statistically significant, which means implementing the LCCP policy significantly improved the GTFEE . Our findings are consistent with existing studies and confirm the positive role of LCCP policy on the environmental and economic aspects [ 15 , 43 , 46 ].…”
Section: Resultssupporting
confidence: 93%
“…Urban built environment factors are directly related to the level of urban construction and development, reflecting the city’s development intensity, ecological environment, and infrastructure, which may have an impact on the intercity daily flow of the LSIV. Air quality can affect the health of residents, particularly since the deterioration of air quality due to industrialisation and urbanisation in China is a growing health concern [ 44 ]. Transportation connectivity plays a fundamental supporting role in population mobility, with high-speed rail and airlines serving long-distance travel and being the main modes of intercity daily flow for the international visitors [ 51 ].…”
Section: Methodsmentioning
confidence: 99%
“…The determinants of intercity daily flow can be divided into two major categories according to the research scale: one is the macro environment, such as regional economic and social, built environment, and government resources, and the other is the micro individual decisions of individual social attributes and behavioural styles. Macroenvironment-related factors play an important role in promoting intercity daily flow, similar to the influence of the push-pull model, including economic development, residents’ income, foreign investment utilisation, urban construction, ecological environment, infrastructure, government resources, and administrative power [ 13 , 42 44 ]. Micro individual decision making involves the subjective judgment of individuals in the process of travel occurrence, which is not only affected by individual social attributes, such as gender, age, occupation, income, and emotion, but also involves individual behavioural preferences of transportation modes and transportation costs [ 15 , 45 , 46 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Urban indicators with significant impacts on carbon emissions include the city size [35][36][37][38][39], urbanization level [40][41][42], economic level [43][44][45][46], population size [47][48][49], and building volume [50,51]. We included these indicators as control variables.…”
Section: Impacts Of Urban Form Indicators On Carbon Emissionsmentioning
confidence: 99%