Xiaomeng Wu’s research while affiliated with Tsinghua University and other places

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Publications (4)


Province-Level Decarbonization Potentials for China’s Road Transportation Sector
  • Article

October 2024

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76 Reads

Environmental Science and Technology

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Xiaomeng Wu

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Figure 2. Odometer trends from the I/M database by vehicle age of light-duty (a) private cars and (b) taxis in 2019.
Figure 3. Annual VKT trend from 4S stores in 2019.
Figure 4. Annual VKT by engine size and vehicle age.
Figure 5. Annual mileage distribution of the selected 10 cities and their locations.
Figure 6. Fleet-averaged VKT trends of LDPV from 2010 to 2020 [11,16,23].

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The Characteristics of Light-Duty Passenger Vehicle Mileage and Impact Analysis in China from a Big Data Perspective
  • Article
  • Full-text available

November 2022

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444 Reads

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8 Citations

Atmosphere

Vehicle mileage is one of the key parameters for accurately evaluating vehicle emissions and energy consumption. With the support of the national annual vehicle emission inspection networked platform in China, this study used big data methods to analyze the activity level characteristics of the light-duty passenger vehicle fleet with the highest ownership proportion. We found that the annual mileage of vehicles does not decay significantly with the increase in vehicle age, and the mileage of vehicles is relatively low in the first few years due to the run-in period, among other reasons. This study indicated that the average mileage of the private passenger car fleet is 10,300 km/yr and that of the taxi fleet was 80,000 km/yr in China in 2019, and the annual mileage dropped by 22% in 2020 due to the pandemic. Based on the vehicle mileage characteristics, the emission inventory of major pollutants from light-duty passenger vehicles in China for 2010–2020 was able to be updated, which will provide important data support for more accurate environmental and climate benefit assessments in the future.

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Citations (1)


... Data reduction techniques address the challenge of handling diverse data formats by transforming, aggregating, or summarizing data to make it more manageable and standardized for analysis. This allows organizations to extract valuable insights from disparate data sources and formats [27,28]. • Veracity: Veracity refers to the accuracy, reliability, and trustworthiness of big data. ...

Reference:

Data reduction in big data: a survey of methods, challenges and future directions
The Characteristics of Light-Duty Passenger Vehicle Mileage and Impact Analysis in China from a Big Data Perspective

Atmosphere