Volume 40 Issue 2
Apr.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(2): 108-115
ZHU Caihua, ZHANG Xinyu, ZENG Mingzhe, HAN Fei, LI Yan. Assessment of Level of Concentration and Intake Quantity of Particulate Matter Within the Space of Various Travel Modes[J]. Journal of Transport Information and Safety, 2022, 40(2): 108-115. doi: 10.3963/j.jssn.1674-4861.2022.02.013
Citation: ZHU Caihua, ZHANG Xinyu, ZENG Mingzhe, HAN Fei, LI Yan. Assessment of Level of Concentration and Intake Quantity of Particulate Matter Within the Space of Various Travel Modes[J]. Journal of Transport Information and Safety, 2022, 40(2): 108-115. doi: 10.3963/j.jssn.1674-4861.2022.02.013
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Assessment of Level of Concentration and Intake Quantity of Particulate Matter Within the Space of Various Travel Modes

doi: 10.3963/j.jssn.1674-4861.2022.02.013
  • 1.

    College of Transportation Engineering, Chang'an University, Xi'an 710064, China

  • 2.

    Shenzhen Transportation Design & Research Institute CO., LTD., Shenzhen 518003, Guangdong, China

  • Received Date: 2022-02-23
    Available Online: 2022-05-18
    Abstract
  • In order to improve travel health of residents, an assessment system is established to evaluate travelers'intake quantity of particulate matter (PM) when traveling with different travel modes. A multiple linear regression model is developed to study the factors that have an impact onto the PM concentration using data collected at the space used by different travel modes (i.e., the surroundings of travelers when traveling using different travel modes, such as carriage, platform, or sidewalk) through PM detectors. A air intake model is developed considering the changes of heart rate index of travelers. Intake quantity of PM2.5 and PM10 over a single trip for a given traveler can be estimated based on air intake per unit time, travel time and PM concentration. Analysis results based on experimental data from Xi'an show that compared to data from environmental monitoring stations (background environment), there is a significant difference for the PM concentration detected in taxi, bus carriage and subway carriage, while the difference is not significant for the PM concentration detected in sidewalk, non-motorized lane, taxi stop, bus stop, subway station hall and subway platform. In addition, study results also show that the PM concentration and humidity in background environment have a positive influence on the increase of PM concentration in the space used by various travel modes, while temperature and wind speed have negative impacts. For this specific test route, travelers taking bicycle and subway show the lowest PM intake quantity among non-active and active travel modes, respectively. Walking-travelers have lower air intake per unit time but longer exposure time to traffic space, bicycle-travelers have higher air intake per unit time but shorter exposure time to traffic space. Waiting for the bus on the platform and buses'frequent stops contribute to the travelers'PM intake quantity which using bus service for travel. The results of the study can be used to predict the travelers'PM intake quantity in completed trips and based on those provide suggestions for travelers to choose healthier travel mode.

     

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