Data-driven spatial-temporal analysis of highway traffic volume considering weather and festival impacts

Akin, 2011, Impacts of weather on traffic flow characteristics of urban freeways in Istanbul, Procedia - Soc. Behav. Sci., 16, 89, 10.1016/j.sbspro.2011.04.432 Akter, 2020, A spatial panel regression model to measure the effect of weather events on freight truck traffic, Transp. A Transp. Sci., 16, 910 Angel, 2014, Effects of rain on traffic operations on Florida freeways, Transp. Res. Rec., 2440, 51, 10.3141/2440-07 Baayen, 2008, Mixed-effects modeling with crossed random effects for subjects and items, J. Mem. Lang., 59, 390, 10.1016/j.jml.2007.12.005 Bardal, 2017, Impacts of adverse weather on Arctic road transport, J. Transp. Geogr., 59, 49, 10.1016/j.jtrangeo.2017.01.007 Barr, 2013, Random effects structure for confirmatory hypothesis testing: keep it maximal, J. Mem. Lang., 68, 255, 10.1016/j.jml.2012.11.001 Boukerche, 2020, Machine Learning-based traffic prediction models for Intelligent Transportation Systems, Comput. Networks, 181, 10.1016/j.comnet.2020.107530 Breiman, 2001, Random forests, Mach. Learn., 45, 10.1023/A:1010933404324 Burow, 2019, An examination of traffic volume during snow events in northeast Ohio, Nat. Hazards, 99, 1179, 10.1007/s11069-019-03786-y Cao, 2019, Transport accessibility and spatial connections of cities in the Guangdong-Hong Kong-Macao Greater Bay Area, Chinese Geogr. Sci., 29, 820, 10.1007/s11769-019-1034-2 Cools, 2009, Investigating the variability in daily traffic counts through use of ARIMAX and SARIMAX models, Transp. Res. Rec., 2136, 57, 10.3141/2136-07 Creemers, 2015, Meteorological variation in daily travel behaviour: evidence from revealed preference data from the Netherlands, Theor. Appl. Climatol., 120, 183, 10.1007/s00704-014-1169-0 Datla, 2010, Variation of impact of cold temperature and snowfall and their interaction on traffic volume, Transp. Res. Rec., 2169, 107, 10.3141/2169-12 Dehman, 2012, Effect of inclement weather on two capacity flows at recurring freeway bottlenecks, Transp. Res. Rec., 2286, 84, 10.3141/2286-10 Dehman, 2017, How weather events affect freeway demand patterns, Transp. Res. Rec., 2615, 113, 10.3141/2615-13 Ding, A.L., Zhao, X.M., Jiao, L.C., 2002. Traffic flow time series prediction based on statistics learning theory. IEEE Conf. Intell. Transp. Syst. Proceedings, ITSC 2002–Janua, 727–730. https://doi.org/10.1109/ITSC.2002.1041308. Field, 2012 Gutiérrez, 2010, Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment, J. Transp. Geogr., 18, 141, 10.1016/j.jtrangeo.2008.12.003 Haworth, 2014, Local online kernel ridge regression for forecasting of urban travel times, Transp. Res. Part C Emerg. Technol., 46, 151, 10.1016/j.trc.2014.05.015 Hu, X., Li, H., Bao, X., 2017. Urban population mobility patterns in Spring Festival Transportation: Insights from Weibo data. 14th Int. Conf. Serv. Syst. Serv. Manag. ICSSSM 2017 - Proc. https://doi.org/10.1109/ICSSSM.2017.7996303. Hui, 2020, Deciphering the spatial structure of China’s megacity region: a new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making, Cities, 105, 10.1016/j.cities.2018.10.011 Jacobsen, 2018, Exploring length of stay: International tourism in south-western Norway, J. Hosp. Tour. Manag., 35, 29, 10.1016/j.jhtm.2018.02.003 Jaroszweski, 2014, The influence of rainfall on road accidents in urban areas: A weather radar approach, Travel Behav. Soc., 1, 15, 10.1016/j.tbs.2013.10.005 Keay, 2005, The association of rainfall and other weather variables with road traffic volume in Melbourne, Australia, Accid. Anal. Prev., 37, 109, 10.1016/j.aap.2004.07.005 Lai, 2020, China’s city network structural characteristics based on population flow during spring festival travel rush: Empirical Analysis of “Tencent Migration” Big Data, J. Urban Plan. Dev., 146, 04020018, 10.1061/(ASCE)UP.1943-5444.0000581 Laird, N.M., Ware, J.H., Lairdl, N.M., Warel, J.H., 2013. Random-Effects Models for Longitudinal Data 38, 963–974. Lang, 2018, Rediscovering Chinese cities through the lens of land-use patterns, Land use policy, 79, 362, 10.1016/j.landusepol.2018.08.031 Li, 2022, Comprehensive comparison of e-scooter sharing mobility: Evidence from 30 European cities, Transp. Res. Part D Transp. Environ., 105, 10.1016/j.trd.2022.103229 Li, 2016, Spatial-temporal analysis on spring festival travel rush in China based on multisource big data, Sustain., 8, 1 Li, 2015, Analysing the impact of weather on bus ridership using smart card data, IET Intell. Transp. Syst., 9, 221, 10.1049/iet-its.2014.0062 Li, 2019, Train wheel degradation modeling and remaining useful life prediction based on mixed effect model considering dependent measurement errors, IEEE Access, 7, 159058, 10.1109/ACCESS.2019.2950696 Li, 2020, Exploring temporal heterogeneity in an intercity travel network: a comparative study between weekdays and holidays in China, J. Geogr. Sci., 30, 1943, 10.1007/s11442-020-1821-9 Liang, 2018, Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model, Int. J. Geogr. Inf. Sci., 32, 2294, 10.1080/13658816.2018.1502441 Lin, 2020, Data-driven analysis of traffic volume and hub city evolution of cities in the Guangdong-Hong Kong-Macao Greater Bay Area, IEEE Access, 8, 12043, 10.1109/ACCESS.2020.2963852 Lin, 2018, The implication of road toll discount for mode choice: intercity travel during the chinese spring festival holiday, Sustain., 10, 2700, 10.3390/su10082700 Liu, 2020, Exploring travel patterns during the holiday season—a case study of shenzhen metro system during the Chinese Spring Festival, ISPRS Int. J. Geo-Inform., 9, 651, 10.3390/ijgi9110651 Liu, 2021, DeepTSP: Deep traffic state prediction model based on large-scale empirical data, Commun. Transp. Res., 1, 10.1016/j.commtr.2021.100012 Lu, 2014, Inter-city travel behaviour adaptation to extreme weather events, J. Transp. Geogr., 41, 148, 10.1016/j.jtrangeo.2014.08.016 Miao, 2019, Extreme weather, public transport ridership and moderating effect of bus stop shelters, J. Transp. Geogr., 74, 125, 10.1016/j.jtrangeo.2018.11.007 Pearlmutter, 1989, Communicated by Fernando Pineda Learning State Space Trajectories in Recurrent, Neural Networks, 1, 263 Pi, 2021, Visual cause analytics for traffic congestion, IEEE Trans. Vis. Comput. Graph., 27, 2186, 10.1109/TVCG.2019.2940580 Rice, 2004, A simple and effective method for predicting travel times on freeways, IEEE Trans. Intell. Transp. Syst., 5, 200, 10.1109/TITS.2004.833765 Richard, 2015, The strange case of the bay area, Environ. Plan. A, 47, 10, 10.1068/a46277 Roh, 2016, Modeling snow and cold effects for classified highway traffic volumes, KSCE J. Civ. Eng., 20, 1514, 10.1007/s12205-015-0236-0 Scott, 2017, Globalization and the rise of city-regions, Reg. Crit. Essays Hum. Geogr., 9, 357 Scott, 2019, What factors influence bike share ridership? an investigation of Hamilton, Ontario’s bike share hubs, Travel Behav. Soc., 16, 50, 10.1016/j.tbs.2019.04.003 Shang, P., Li, R., Liu, Z., Li, X., 2015. Inclement Weather Impacts on Urban Traffic Conditions. CICTP 2015 - Effic. Safe, Green Multimodal Transp. – Proc. 15th COTA Int. Conf. Transp. Prof. 2213–2227. https://doi.org/10.1061/9780784479292.206. Smith, 2002, Comparison of parametric and nonparametric models for traffic flow forecasting, Transp. Res. Part C Emerg. Technol., 10, 303, 10.1016/S0968-090X(02)00009-8 Wei, 2020, A self-control theory perspective on tourists’ short-vacation preference: empirical evidence from China, Asia Pacific J. Tour. Res., 25, 560 Wei, 2018, The rich-club phenomenon of China’s population flow network during the country’s spring festival, Appl. Geogr., 96, 77, 10.1016/j.apgeog.2018.05.009 Xie, 2020, Travel characteristics analysis and passenger flow prediction of intercity shuttles in the pearl river delta on holidays, Sustain., 12, 7249, 10.3390/su12187249 Xu, 2017, Difference of urban development in China from the perspective of passenger transport around Spring Festival, Appl. Geogr., 87, 85, 10.1016/j.apgeog.2017.07.014 Yang, 2021, Impact of weather on freeway origin-destination volume in China, Transp. Res. Part A Policy Pract., 143, 30, 10.1016/j.tra.2020.11.007 Zhang, 2017, Experience and enlightenment of world bay area economy development, China Natl. Cond. Strength, 5, 31 Zhao, 2018, Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane, Transp. Res. Part A Policy Pract., 111, 119, 10.1016/j.tra.2018.03.001 Zijlstra, 2021, The commuters’ burden: the relationship between commuting and wellbeing in Europe, Travel Behav. Soc., 23, 108, 10.1016/j.tbs.2020.12.007