The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

被引:0
作者
Zhang, Hengyi [1 ]
Ci, Yusheng [1 ]
Huang, Yikang [1 ]
Wu, Lina [2 ]
机构
[1] Harbin Inst Technol, Sch Transportat & Sci Engn, Harbin 150090, Peoples R China
[2] Heilongjiang Inst Technol, Sch Automobile & Traff Engn, Harbin 150050, Peoples R China
关键词
traffic accident hotspot; spatiotemporal distribution characteristic; land use; the mobility of residents; COVID-19; pandemic; geographic information system; IMPACT;
D O I
10.3390/su16083440
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The COVID-19 pandemic has had a substantial impact on the lives of city residents and has reshaped working patterns, with a concomitant impact on traffic accidents. We correlated data from multiple sources to explore the impact of residents' mobility and residents' travel behavior on the spatiotemporal distribution characteristics of urban traffic accident hotspots and its internal mechanism under the impact of the pandemic and subsequent policy measures. The results showed that the pandemic and policy measures inhibited the mobility of residents, had a significant impact on working patterns, and changed the composition structure of the purpose of residents' travel behavior, which substantially impacted the spatiotemporal distribution characteristics of urban traffic accident hotspots. The quantity of traffic accidents decreased significantly, and the spatial distribution characteristics of urban traffic accident hotspots changed substantially, with accident hotspots changing from the single-center spatial distribution before the pandemic to the multi-center spatial distribution during the pandemic; urban accident-prone areas changed from being mainly distributed in the central business district before the pandemic to being more widely distributed in public service areas during the pandemic. The results of this study may be helpful to better understand the spatiotemporal distribution characteristics of urban traffic accident hotspots and their intrinsic mechanism.
引用
收藏
页数:19
相关论文
共 60 条
  • [11] Bajor M., 2021, Wskazniki BRD w Okresie Ograniczonej Mobilnosci
  • [12] An analysis of the New York City traffic volume, vehicle collisions, and safety under COVID-19
    Cappellari, Paolo
    Weber, Bryan S.
    [J]. JOURNAL OF SAFETY RESEARCH, 2022, 83 : 57 - 65
  • [13] Big spatio-temporal data mining for emergency management information systems
    Dagaeva, Maria
    Garaeva, Alina
    Anikin, Igor
    Makhmutova, Alisa
    Minnikhanov, Rifkat
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 13 (11) : 1649 - 1657
  • [14] How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling
    Dong, Xiaomeng
    Xie, Kun
    Yang, Hong
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2022, 172
  • [15] Initial impact of COVID-19's stay-at-home order on motor vehicle traffic and crash patterns in Connecticut: an interrupted time series analysis
    Doucette, Mitchell L.
    Tucker, Andrew
    Auguste, Marisa E.
    Watkins, Amy
    Green, Christa
    Pereira, Flavia E.
    Borrup, Kevin T.
    Shapiro, David
    Lapidus, Garry
    [J]. INJURY PREVENTION, 2021, 27 (01) : 3 - 9
  • [16] A GIS-based assessment of long-term traffic accidents using spatiotemporal and empirical Bayes analysis in Turkey
    Erdogan, Saffet
    Dereli, Mehmet Ali
    Senol, Halil Ibrahim
    [J]. APPLIED GEOMATICS, 2022, 14 (02) : 147 - 162
  • [17] Esri, 2023, ArcGIS Pro (3.2)
  • [18] THE ANALYSIS OF SPATIAL ASSOCIATION BY USE OF DISTANCE STATISTICS
    GETIS, A
    ORD, JK
    [J]. GEOGRAPHICAL ANALYSIS, 1992, 24 (03) : 189 - 206
  • [19] A new integrated GIS-based analysis to detect hotspots: A case study of the city of Sherbrooke
    Harirforoush, Homayoun
    Bellalite, Lynda
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2019, 130 : 62 - 74
  • [20] Hourly Traffic on Metropolitan Transportation Authority (MTA), 2020, Bridges and Tunnels