Research on vehicle renewable energy use in cities with different carbon emission characteristics
Different cities have significant variations in terms of economic development, population size, geographical features, energy endowment, and total amount and structure of carbon dioxide (CO2) emission from transport. It is essential to understand the types and characteristics of urban transport CO2...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722006175 |
| _version_ | 1828192984702648320 |
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| author | Mingzhi Wang TanFeng Li Chunyi Yuan He Tian Shimo Tian |
| author_facet | Mingzhi Wang TanFeng Li Chunyi Yuan He Tian Shimo Tian |
| author_sort | Mingzhi Wang |
| collection | DOAJ |
| description | Different cities have significant variations in terms of economic development, population size, geographical features, energy endowment, and total amount and structure of carbon dioxide (CO2) emission from transport. It is essential to understand the types and characteristics of urban transport CO2 emissions and propose differentiated CO2 emission reduction measures and formulate renewable energy use strategy, with a view to sequentially achieving the peak of urban transport CO2 emissions. Based on the analysis of driving factors of urban transport CO2 emission, this paper establishes a classified index system and then adopts the Gaussian mixture model (GMM) and expectation–maximization (EM) algorithm to cluster the trends of transport CO2 emissions peak in 672 municipal cities in China. The results show that the model can effectively identify the differences between different cities and divide them into five types, namely the types of public transport demonstration, emission pressure, low carbon potential, population loss, and high carbon pressure, the proportion of urban transportation carbon emission in these five cities is 44.39%, 22.19%, 18.21%, 7.66% and 7.55%. Moreover, by analyzing different energy endowment characteristics and geographical features, optimization suggestions are put forward for the transportation energy consumption of different cities to realize the efficient utilization of renewable energy. |
| first_indexed | 2024-04-12T09:01:24Z |
| format | Article |
| id | doaj.art-5c122753aac14d9c80c3683a7af0a293 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-12T09:01:24Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-5c122753aac14d9c80c3683a7af0a2932022-12-22T03:39:13ZengElsevierEnergy Reports2352-48472022-09-018343352Research on vehicle renewable energy use in cities with different carbon emission characteristicsMingzhi Wang0TanFeng Li1Chunyi Yuan2He Tian3Shimo Tian4Laboratory for Traffic & Transport Planning Digitalization, Transport Planning and Research Institute Ministry of Transport, Beijing 100020, ChinaLaboratory for Traffic & Transport Planning Digitalization, Transport Planning and Research Institute Ministry of Transport, Beijing 100020, ChinaCorresponding author.; Laboratory for Traffic & Transport Planning Digitalization, Transport Planning and Research Institute Ministry of Transport, Beijing 100020, ChinaLaboratory for Traffic & Transport Planning Digitalization, Transport Planning and Research Institute Ministry of Transport, Beijing 100020, ChinaLaboratory for Traffic & Transport Planning Digitalization, Transport Planning and Research Institute Ministry of Transport, Beijing 100020, ChinaDifferent cities have significant variations in terms of economic development, population size, geographical features, energy endowment, and total amount and structure of carbon dioxide (CO2) emission from transport. It is essential to understand the types and characteristics of urban transport CO2 emissions and propose differentiated CO2 emission reduction measures and formulate renewable energy use strategy, with a view to sequentially achieving the peak of urban transport CO2 emissions. Based on the analysis of driving factors of urban transport CO2 emission, this paper establishes a classified index system and then adopts the Gaussian mixture model (GMM) and expectation–maximization (EM) algorithm to cluster the trends of transport CO2 emissions peak in 672 municipal cities in China. The results show that the model can effectively identify the differences between different cities and divide them into five types, namely the types of public transport demonstration, emission pressure, low carbon potential, population loss, and high carbon pressure, the proportion of urban transportation carbon emission in these five cities is 44.39%, 22.19%, 18.21%, 7.66% and 7.55%. Moreover, by analyzing different energy endowment characteristics and geographical features, optimization suggestions are put forward for the transportation energy consumption of different cities to realize the efficient utilization of renewable energy.http://www.sciencedirect.com/science/article/pii/S2352484722006175Renewable energyUrban transportationGaussian mixture modelExpectation–maximizationCarbon dioxide |
| spellingShingle | Mingzhi Wang TanFeng Li Chunyi Yuan He Tian Shimo Tian Research on vehicle renewable energy use in cities with different carbon emission characteristics Energy Reports Renewable energy Urban transportation Gaussian mixture model Expectation–maximization Carbon dioxide |
| title | Research on vehicle renewable energy use in cities with different carbon emission characteristics |
| title_full | Research on vehicle renewable energy use in cities with different carbon emission characteristics |
| title_fullStr | Research on vehicle renewable energy use in cities with different carbon emission characteristics |
| title_full_unstemmed | Research on vehicle renewable energy use in cities with different carbon emission characteristics |
| title_short | Research on vehicle renewable energy use in cities with different carbon emission characteristics |
| title_sort | research on vehicle renewable energy use in cities with different carbon emission characteristics |
| topic | Renewable energy Urban transportation Gaussian mixture model Expectation–maximization Carbon dioxide |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722006175 |
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