Open Access
Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
---|---|---|
Article Number | 03016 | |
Number of page(s) | 9 | |
Section | Traffic Construction Engineering and Transportation Optimization | |
DOI | https://doi.org/10.1051/e3sconf/202451203016 | |
Published online | 10 April 2024 |
- ABRATE G, VIGLIA G, GARCíA J S, et al. (2016) Price Competition within and between Ai rlines and High-Speed Trains: The Case of the Milan—Rome Route. Tourism Economics, 22: 31 1 -23. DOI:10.5367/te.2016.0549. [Google Scholar]
- GONG Y, ZHOU T, ZHAO Y, et al. (2019) Ch aracterization and Risk Assessment of Particulate Matter and Volatile Organic Compounds in Met ro Carriage in Shanghai, China. Atmosphere 10(6): 302. DOI:10.3390/ATMOS10060302. [CrossRef] [Google Scholar]
- RECHE C, MORENO T, MARTINS V, et al. (2017) Factors controlling particle number conce ntration and size at metro stations. Atmospheric Environment, 156: 169-81. DOI:10.1016/J.ATMOSENV.2017.03.002. [CrossRef] [Google Scholar]
- BOTH A F, WESTERDAHL D, FRUIN S, et al. (2013) Exposure to carbon monoxide, fine parti cle mass, and ultrafine particle number in Jakart a, Indonesia: effect of commute mode. The Scie nce of the total environment, 443: 965-72. DOI: 10.1016/j.scitotenv.2012.10.082. [CrossRef] [Google Scholar]
- Zhao S-y, Wang D-d, Zhao C-y, et al. (2022) Study on environmental comfort of light rail carriage in summer. Journal of Jilin Jianzhu University. 39(01): 43-9+79. https://kns.cnki.net/KXReader/Detail?invoice=Cj%2FVpAmgzfpBwbdau9VgPh%2BSmJC167dZH7T9yYJpzN5125s7uQwahfamatL0r7ZmJL0pqoRBu%2F2UzOTL%2F5Ht1ZfJ5UUFX9JJvZkseWKYu0QALRckE0y3HtjFQEVOOa0j0smRSef7CVjUvhar9AeOBeoOSOpCI1krJ9K5lDyMGoE%3D&DBCODE=CJFQ&FileName=JLJZ202201009&TABLEName=cjfdlast2022&nonce=98051BB182204A55B308C8BAB522AAF1&TIMESTAMP=1703665471629&uid=. [Google Scholar]
- CHENG Y-H, NINH X-H, YEH S-L. (2019) Dominant Factors Influencing the Concentrations of Particulate Matters inside Train Carriages Trave ling in Different Environments in the Taipei Ma ss Rapid Transit System. Aerosol Air Qual Res. DOI:10.4209/AAQR.2018.09.0335. [Google Scholar]
- WANG B Q, LIU J F, REN Z H, et al. (2016) Concentrations, properties, and health risk of P M2.5 in the Tianjin City subway system. Enviro n Sci Pollut Res, 23(22): 22647-57. DOI:10.1007/s11356-016-7444-0. [CrossRef] [PubMed] [Google Scholar]
- HUANG S, CHEN P X, HU K Y, et al. (2021) Characteristics and source identification of fine particles in the Nanchang subway, China. Buildi ng and Environment, 199(28)107925. DOI:10.1016/J.BUILDENV.2021.107925. [Google Scholar]
- ZHANG Y. (2021) Particulate Matter Exposures under Five Different Transportation Modes durin g Spring Festival Travel Rush in China. Process es. DOI:10.3390/pr9071133. [Google Scholar]
- Zhou X-y, Teng Y-p, Nie X-l, et al. (2018) Infl uencing factors of air quality in high-speed EM Us compartment. Journal of Environment and He alth, 35(11): 997-1000. DOI:10.3390/pr9071133. [Google Scholar]
- Zhou X-y, Teng Y-p, Nie X-l, et al. (2017) The in-car air quality of high-speed Running in the tunnel group train monitoring and analysis. Journal of Diseases Monitor & Control, 11(03): 176-9.https://kns.cnki.net/KXReader/Detail?invoice=MoFG2XH438BL3XC6AhS1mDw3%2F%2Bep5zeK6raXyVeaa7lh7mqYzp2RKHGTzfmXpRDlOZwmnDAhV2CqX7bof3xZZaOPoDdmBEfUx8cnKPRdr4FPW%2FUqh1sgGNT2WAVQdpe%2BPLM6arF2C9i63uz7rnIFemmDoIG6mxti%2BN70pzNCqoY%3D&DBCODE=CJFQ&FileName=JBJK201703002&TABLEName=cjfdlast2017&nonce=95DEF96FBF2F445DA3198A55955690D3&TIMESTAMP=1703665374184&uid=. [Google Scholar]
- Hunan X-j. (2023) New Area Three-Year Action Plan to Promote the Integrated Development of ChangZhuTan (2023-2025). https://www.hunan.gov.cn/hnyw/zwdt/202308/t20230824_29466809.html [Google Scholar]
- QIU Z, SONG J, XU X, et al.(2017) Commuter exposure to particulate matter for different trans portation modes in Xi’an, China. Atmospheric Po llution Research, 8: 940-8. DOI:10.1016/J.APR.2017.03.005. [CrossRef] [Google Scholar]
- YAN C, ZHENG M, YANG Q, et al.(2015) Co mmuter exposure to particulate matter and particl e-bound PAHs in three transportation modes in Beijing, China. Environmental pollution, 204: 19 9-206. DOI:10.1016/j.envpol.2015.05.001. [Google Scholar]
- ONAT B, STAKEEVA B. (2013) Personal expo sure of commuters in public transport to PM2.5 and fine particle counts. Atmospheric Pollution Research, 4: 329-35. DOI:10.5094/APR.2013.037. [CrossRef] [Google Scholar]
- KUMAR P, PATTON A P, DURANT J L, et a l. (2018) A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon i n Asian transport microenvironments. Atmospheri c Environment.2018.05.046. DOI:10.1016/J.ATMOSENV. [Google Scholar]
- WU D, LIN M, CHAN C-Y, et al. (2013) Influences of commuting mode, air conditioning mod e and meteorological parameters on fine particle (PM2.5) exposure levels in traffic microenviron ments. Aerosol Air Qual Res, 13: 709-20. DOI:10.4209/AAQR.2012.08.0212. [CrossRef] [Google Scholar]
- Li C, Cui S-x, Yang W, et al. (2014) Experimental research on effects of the relative humidity on the size distributions of indoor fine particles. Journal of Safety and Environment, 14(04): 254-8. DOI: 10.13637/j.issn.1009-6094.2014.04.055 [Google Scholar]
- BRODAY D M, GEORGOPOULOS P G. (2001) Growth and Deposition of Hygroscopic Particul ate Matter in the Human Lungs. Aerosol Science and Technology, 34: 144 -59. DOI:10.1080/02786820118725. [CrossRef] [Google Scholar]
- Zhang B-y. (2018) Distibution and influencingfactors of voc in the passenger compartment of hig h-speed train. Southwest Jiaotong University. https://kns.cnki.net/kcms2/article/abstract?v=_AqZbjAWWJRyq_ZA6uvSkQURzqY_FGwGDqMDePvQRp6Y61uI-zvJEVfasd0nREFcc2f20WTcWLMdRp07XBCIu_ag1OfdN1o5XrOaZQ4xt6SlrrmGsyf-vJDDQbvZqoMD2NZU0u2v7UjBDXeGc14Ovg==&uniplatform=NZKPT&language=CHS [Google Scholar]
- YE W-F, ZHANG X, GAO J, et al. (2017) Ind oor air pollutants, ventilation rate determinants a nd potential control strategies in Chinese dwellin gs: A literature review. The Science of the total environment, 586: 696-729. DOI:10.1016/j.scitotenv.2017.02.047. [CrossRef] [PubMed] [Google Scholar]
- Gong Z-x. (2022) Field survey and collaborative simulation of thermal and humid environment o f several subway station in Xi’an. Chang’an Uni versity. DOI: 10.26976/d.cnki.gchau.2021.002001. [Google Scholar]
- Liu Y-j. (2011) Thermal comfort assessment for an air-conditioning train compartment [D]; Beijin g Jiaotong University. https://kns.cnki.net/kcms2/article/abstract?v=_AqZbjAWWJR2a8Tz1HaQOWKu1hou_oj2TyurNkWiAlijIEOEsbUeJkzSv0HleMo6qY2fFcAwRRRfWP5rd7AYjqXaV1DSD8_Sf0TtnxUyneqZi1g7Jn5neWawFp1UkwpesoxgAGNEplqQtkjeJebW-Q==&uniplatform=NZKPT&language=CHS. [Google Scholar]
- WORLD HEALTH ORGANIZATION. (2006) G ENEVA S. Air Quality Guidelines: Global Upda te 2005: Particulate Matter, Ozone, Nitrogen Di oxide, and Sulfur Dioxide: World Health Organiz ation, pp.277-279. https://iris.who.int/bitstream/handle/10665/107823/E90038.pdf?sequence=1. [Google Scholar]
- HUANG S H, WANG H, WU D, et al. (2022) Influencing Factors of Particulate Matter Concent ration in the Metro Carriage and the Correspond ing Inhalation Intake Estimation: A Field Measur ement in Chengdu. Atmosphere, 13(11): 18. DOI: 10.3390/atmos13111821. [Google Scholar]
- XU B, YU X, GU H, et al.(2016) Commuters’ exposure to PM2.5 and CO2 in metro carriages of Shanghai metro system. Transportation Resear ch Part D-Transport and Environment, 47: 162-70. DOI:10.1016/J.TRD.2016.05.001. [CrossRef] [Google Scholar]
- KAM W, CHEUNG K, DAHER N, et al. (2011) Particulate matter (PM) concentrations in under ground and ground-level rail systems of the Los Angeles Metro. Atmospheric Environment, 45: 1506-16. DOI:10.1016/J.ATMOSENV.2010.12.049. [CrossRef] [Google Scholar]
- BANDIERA L, PAVAR G, PISETTA G, et al. (2020) Face coverings and respiratory tract dropl et dispersion. Royal Society Open Science. DOI: 10.1098/rsos.201663. [Google Scholar]
- KOHANSKI M A, LO L J, WARING M S. (2020) Review of indoor aerosol generation, transpo rt, and control in the context of COVID‐19. Inte rnational Forum of Allergy & Rhinology, 10: 11 73 -9. DOI:10.1002/alr.22661. [Google Scholar]
- PASSI A, NAGENDRA S, MAIYA M P. (2021) Characteristics of indoor air quality in undergro und metro stations: A critical review. Building a nd Environment, 198(2021): 107907. DOI:10.1016/J.BUILDENV.2021.107907. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.