Abstract
Analyzing the spatial-temporal distribution of travel carbon emissions will help government departments to develop effective policies and strategies for carbon emission management. This research proposes a trajectory-based analysis method to identify sources of high travel carbon emissions and the relationship between car use and travel carbon emissions. The vehicle-specific power model (VSP), which considers the effect of the vehicle operating speed on emissions, was used to estimate emissions from the travel origin to the destination. The research area was divided into grids according to the population distribution, and the grid carbon emissions (GCE) and grid average carbon emissions (GACE) were calculated. This article used several spatial measurement models to investigate the spatial-temporal trend and influencing factors of travel emissions. A case study using one month of Ningbo taxi data showed the following. 1) The concentration of emission sources was significantly reduced during the evening peak, but the proportion of the contribution was relatively high. 2) Many areas in the suburbs had a high proportion of high emitters throughout the day and not only during the commuting period. 3) Population density and car use ratio were used to explain the quantitative relationship between car use and travel emission sources. This study can guide travel carbon emission monitoring and local carbon emission reduction strategies.
Highlights
Climate change leading to global warming resulting from fossil energy use has become an urgent topic [1]
Our research demonstrates the spatial heterogeneity of the impact of population density (PD) and car use on traffic emissions
Similar studies showed that residents far away from urban centers emit high emissions from travel, but the results showed that only carbon emissions from commuting were affected [51, 52]
Summary
Climate change leading to global warming resulting from fossil energy use has become an urgent topic [1]. According to a research report on fuel combustion released by the International Energy Agency, transportation accounts for nearly a quarter of the global energy-related greenhouse gas emissions, representing the primary carbon emission driver [2]. The leading energy efficiency technologies to reduce passenger cars' carbon emissions include enhancement of fuel quality, engine technology improvement [4], encouraging the use of hybrid electric vehicles and energy-efficient cars [5], as well as urban public transport promotion [6]. According to statistics from the Transportation Administration of the Ministry of Public Security of China, the number of motor vehicles in China in 2020 was 280 million, while new energy vehicles comprised less than 5 million. The most direct result is that the increased demand for daily car use cannot be matched by new energy vehicles [7]. Increasing urban population and car service will prevent meeting the transportation carbon abatement targets [8]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
