Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data
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Afghari, 2019, Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models, Anal. Methods Acid. Res., 24, 100104
Amoh-Gyimah, 2016, Macroscopic modeling of pedestrian and bicycle crashes: a cross-comparison of estimation methods, Accid. Anal. Prev., 93, 147, 10.1016/j.aap.2016.05.001
Bai, 2020, Red light running behavior of bicyclists in urban area: effects of bicycle type and bicycle group size, Travel Behav. Soc., 21, 226, 10.1016/j.tbs.2020.07.003
Bai, 2021, Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity, Transp. Res. Pt. B-Methodol., 150, 524, 10.1016/j.trb.2021.06.021
Besag, 1991, Bayesian image restoration with two applications in spatial statistics, Ann. Inst. Stat. Math., 43, 1, 10.1007/BF00116466
Bhatia, 2011, “Safety in numbers” re-examined: can we make valid or practical inferences from available inference?, Accid. Anal. Prev., 43, 235, 10.1016/j.aap.2010.08.015
Blaizot, 2013, Injury incidence rates of cyclists compared to pedestrians, car occupants and powered two-wheeler riders, using a medical registry and mobility data, Rhône County, France, Accid. Anal. Prev., 58, 35, 10.1016/j.aap.2013.04.018
Boggs, 2020, Exploratory analysis of automated vehicle crashes in California: a text analytics & hierarchical Bayesian heterogeneity-based approach, Accid. Anal. Prev., 135, 105354, 10.1016/j.aap.2019.105354
Broach, 2012, Where do cyclists ride? A route choice model developed with revealed preference GPS data, Transp. Res. Pt. A-Policy Pract., 46, 1730, 10.1016/j.tra.2012.07.005
Brooks, 1998, General methods for monitoring convergence of iterative simulations, J. Comput. Graph. Stat., 7, 434
Buehler, 2012, Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes, Transportation, 39, 409, 10.1007/s11116-011-9355-8
Cai, 2021, Explore effects of bicycle facilities and exposure on bicycle safety at intersections, Int. J. Sustain. Transp., 15, 592, 10.1080/15568318.2020.1772415
Cai, 2021, Developing a grouped random parameter beta model to analyze drivers’ speeding behavior on urban and suburban arterials with probe speed data, Accid. Anal. Prev., 161, 106386, 10.1016/j.aap.2021.106386
Cai, 2019, Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data, Transp. Res. Part A: Policy Pract., 96, 14
Cai, 2016, Macro-level pedestrian and bicycle crash analysis: incorporating spatial spillover effects in dual state count models, Accid. Anal. Prev., 93, 14, 10.1016/j.aap.2016.04.018
Chen, 2020, Using bicycle app data to develop safety performance functions (SPFs) for bicyclists at intersections: a generic framework, Transp. Res. Pt. A-Policy Pract., 132, 1034, 10.1016/j.tra.2019.12.034
Chen, 2015, Built environment factors in explaining the automobile-involved bicycle crash frequencies: a spatial statistic approach, Saf. Sci., 79, 336, 10.1016/j.ssci.2015.06.016
Chen, 2018, A GPS data-based analysis of built environment influences on bicyclist route preferences, Int. J. Sustain. Transp., 12, 218, 10.1080/15568318.2017.1349222
Chen, 2018, Built environment effects on bike crash frequency and risk in Beijing, J. Safety Res., 64, 135, 10.1016/j.jsr.2017.12.008
DiGioia, 2017, Safety impacts of bicycle infrastructure: a critical review, J. Safety Res., 61, 105, 10.1016/j.jsr.2017.02.015
Dijkstra, 1959, A note on two problems in connection with graphs, Numer. Math., 1, 269, 10.1007/BF01386390
Ding, 2020, Roles of infrastructure and land use in bicycle crash exposure and frequency: a case study using Greater London bike sharing data, Accid. Anal. Prev., 144, 105652, 10.1016/j.aap.2020.105652
Ding, 2021, Role of exposure in bicycle safety analysis: effect of cycle path choice, Accid. Anal. Prev., 153, 106014, 10.1016/j.aap.2021.106014
Dong, 2020, Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes, Accid. Anal. Prev., 148, 105777, 10.1016/j.aap.2020.105777
Elvik, 2017, Safety-in-numbers: a systematic review and meta-analysis of evidence, Saf. Sci., 92, 274, 10.1016/j.ssci.2015.07.017
Elvik, 2019, Safety-in-numbers: an updated meta-analysis of estimates, Accid. Anal. Prev., 129, 136, 10.1016/j.aap.2019.05.019
Feleke, 2018, Comparative fatality risk for different travel modes by age, sex, and deprivation, J. Transp. Health, 8, 307, 10.1016/j.jth.2017.08.007
Fridman, 2021, Methodological considerations in MVC epidemiological research, Inj. Prev., 27, 155, 10.1136/injuryprev-2020-043987
Gargoum, 2016, Exploring the association between speed and safety: a path analysis approach, Accid. Anal. Prev., 93, 32, 10.1016/j.aap.2016.04.029
Gelman, 2006, Prior distributions for variance parameters in hierarchical models, Bayesian Anal., 1, 515, 10.1214/06-BA117A
Gelman, 2013
Gelman, 2017, The prior can often only be understood in the context of the likelihood, Entropy, 19, 555, 10.3390/e19100555
Gladhill, 2012, Exploring traffic safety and urban form in Portland, Oregon, Transp. Res. Rec., 2318, 63, 10.3141/2318-08
Guo, 2017, The effect of road network patterns on pedestrian safety: a zone-based Bayesian spatial modeling approach, Accid. Anal. Prev., 99, 114, 10.1016/j.aap.2016.11.002
Guo, 2018, A cross-comparison of different techniques for modeling macro-level cyclist crashes, Accid. Anal. Prev., 113, 38, 10.1016/j.aap.2018.01.015
Guo, 2018, Exploring unobserved heterogeneity in bicyclists’ red-light running behaviors at different crossing facilities, Accid. Anal. Prev., 115, 118, 10.1016/j.aap.2018.03.006
Guo, 2021, Dockless bike-sharing as a feeder model of metro commute? The role of the feeder-related built environment: analytical framework and empirical evidence, Sustain. Cities Soc., 65, 102594, 10.1016/j.scs.2020.102594
Handy, 2014, Promoting cycling for transport: research needs and challenges, Transp. Rev., 34, 4, 10.1080/01441647.2013.860204
Hong Kong Transport Department, 2012. The Annual Traffic Census 2011. https://www.td.gov.hk/en/publications_and_press_releases/publications/free_publications/the_annual_traffic_census_2011/index.html.
Hong Kong Transport Department, 2014. Travel Characteristics Survey 2011 Final Report. https://www.td.gov.hk/filemanager/en/content_4652/tcs2011_eng.pdf.
Imprialou, 2019, Crash data quality for road safety research: current state and future directions, Accid. Anal. Prev., 130, 84, 10.1016/j.aap.2017.02.022
Jacobsen, 2003, Safety in numbers: more walkers and bicyclists, safer walking and bicycling, Inj. Prev., 9, 205, 10.1136/ip.9.3.205
Jacobsen, 2015, Safety in numbers for walkers and bicyclists: exploring the mechanisms, Inj. Prev., 21, 217, 10.1136/injuryprev-2015-041635
James, 2013
Kamel, 2020, Cyclist-vehicle crash modeling with measurement error in traffic exposure, Accid. Anal. Prev., 144, 105612, 10.1016/j.aap.2020.105612
Kamel, 2020, A composite zonal index for biking attractiveness and safety, Accid. Anal. Prev., 137, 105439, 10.1016/j.aap.2020.105439
Kamel, 2019, Accounting for mediation in cyclist-vehicle crash models: a Bayesian mediation analysis approach, Accid. Anal. Prev., 131, 122, 10.1016/j.aap.2019.06.009
Kim, 2016, The epidemiologic principles underlying traffic safety study designs, Int. J. Epidemiol., 45, 1668, 10.1093/ije/dyw172
Kim, 2010, Accidents and accessibility: measuring influences of demographic and land use variables in Honolulu, Hawaii, Transport. Res. Rec., 2673, 898
Klassen, 2014, Analyzing the severity of bicycle-motor vehicle collision using spatial mixed logit models: a city of Edmonton case study, Saf. Sci., 62, 295, 10.1016/j.ssci.2013.09.007
Klieger, 2020, Motor-vehicle drivers’ behavioral response to increased bicycle traffic, J. Safety Res., 74, 97, 10.1016/j.jsr.2020.04.002
Lee, 2020, Investigation of safety-in-numbers for pedestrians and bicyclists at a macroscopic level with various exposure variables, Transp. Res. Rec., 2674, 568, 10.1177/0361198120953795
Lee, 2019, Transportation safety planning approach for pedestrians: an integrated framework of modeling walking duration and pedestrian fatalities, Transp. Res. Rec., 2637, 898, 10.1177/0361198119837962
Lee, 2015, Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level, Accid. Anal. Prev., 78, 146, 10.1016/j.aap.2015.03.003
Lee, 2021, Strava metro data for bicycle monitoring: a literature review, Transp. Rev., 41, 27, 10.1080/01441647.2020.1798558
Lemoine, 2019, Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses, Oikos, 128, 912, 10.1111/oik.05985
Liu, 2017, Gate-violation behavior at highway-rail grade crossings and the consequences: using geo-spatial modeling integrated with path analysis, Accid. Anal. Prev., 109, 99, 10.1016/j.aap.2017.10.010
Loo, 2006, Validating crash locations for quantitative spatial analysis: a GIS-based approach, Accid. Anal. Prev., 38, 879, 10.1016/j.aap.2006.02.012
Loo, 2010, Bicycle crash casualties in a highly motorized city, Accid. Anal. Prev., 42, 1902, 10.1016/j.aap.2010.05.011
Lusk, 2011, Risk of injury for bicycling on cycle tracks versus in the street, Inj. Prev., 17, 131, 10.1136/ip.2010.028696
Lunn, 2012
Merlin, 2020, Crash risk, crash exposure, and the built environment: a conceptual review, Accid. Anal. Prev., 134, 105244, 10.1016/j.aap.2019.07.020
McElreath, R., 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Second Edition). Chapman & Hall/CRC: Boca Raton, FL.
Miranda-Moreno, 2011, The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections, Accid. Anal. Prev., 43, 1624, 10.1016/j.aap.2011.02.005
Moran, 1950, Notes on continuous stochastic phenomena, Biometrika, 37, 17, 10.1093/biomet/37.1-2.17
Nashad, 2016, Joint modeling of pedestrian and bicycle crashes: copula-based approach, Transp. Res. Rec., 2601, 119, 10.3141/2601-14
Noland, 2004, Analysis of pedestrian and bicycle casualties with regional panel data, Transp. Res. Rec., 1897, 28, 10.3141/1897-04
Nordback, 2014, Bicyclist safety performance functions for a U.S. city, Accid. Anal. Prev., 65, 114, 10.1016/j.aap.2013.12.016
Osama, 2016, Evaluating the impact of bike network indicators on cyclist safety using macro-level collision prediction models, Accid. Anal. Prev., 97, 28, 10.1016/j.aap.2016.08.010
Osama, 2017, Evaluating the impact of socioeconomics, land use, built environment, and road facility on cyclist safety, Transp. Res. Rec., 2659, 33, 10.3141/2659-04
Osama, 2017, Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facilities variables, Transp. Res. Part A: Policy Pract., 96, 14
Park, 2021, Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis, Accid. Anal. Prev., 150, 105896, 10.1016/j.aap.2020.105896
Prati, 2018, Factors contributing to bicycle–motor vehicle collisions: a systematic literature review, Transp. Rev., 38, 184, 10.1080/01441647.2017.1314391
Prato, 2016, Infrastructure and spatial effects on the frequency of cyclist-motorist collisions in the Copenhagen Region, J. Transp. Saf. Secur., 8, 346
Priyantha Wedagama, 2006, The influence of urban land-use on non-motorised transport casualties, Accid. Anal. Prev., 38, 1049, 10.1016/j.aap.2006.01.006
Pucher, 2010, Infrastructure, programs, and policies to increase bicycling: an international review, Prev. Med., 50, S106, 10.1016/j.ypmed.2009.07.028
Pulugurtha, 2015, Evaluating the effectiveness of on-street bicycle lane and assessing risk to bicyclists in Charlotte, North Carolina, Accid. Anal. Prev., 76, 34, 10.1016/j.aap.2014.12.020
Reynolds, 2009, The impact of transportation infrastructure on bicycling injuries and crashes: a review of the literature, Environ. Health, 8, 47, 10.1186/1476-069X-8-47
Rubin, 1976, Inference and missing data, Biometrika, 63, 581, 10.1093/biomet/63.3.581
Saad, 2019, Bicycle safety analysis at intersections from crowdsourced data, Transp. Res. Rec., 2673, 1, 10.1177/0361198119836764
Saha, 2018, Spatial analysis of macro-level bicycle crashes using the class of conditional autoregressive models, Accid. Anal. Prev., 118, 166, 10.1016/j.aap.2018.02.014
Sener, 2021, The challenge of safe and active transportation: macrolevel examination of pedestrian and bicycle crashes in the Austin District, J. Transp. Saf. Secur., 13, 525
Schafer, 2002, Missing data: our view of the state of the art, Psychol. Methods, 7, 147, 10.1037/1082-989X.7.2.147
Schepers, 2011, Road factors and bicycle–motor vehicle crashes at unsignalized priority intersections, Accid. Anal. Prev., 43, 853, 10.1016/j.aap.2010.11.005
Schepers, 2012, Does more cycling also reduce the risk of single-vehicle crashes?, Inj. Prev., 18, 240, 10.1136/injuryprev-2011-040097
Schoner, 2014, The missing link: bicycle infrastructure networks and ridership in 74 US cities, Transportation, 41, 1187, 10.1007/s11116-014-9538-1
Shirani-bidabadi, 2020, Developing bicycle-vehicle crash-specific safety performance functions in Alabama using different techniques, Accid. Anal. Prev., 146, 105735, 10.1016/j.aap.2020.105735
Siddiqui, 2012, Macroscopic spatial analysis of pedestrian and bicycle crashes, Accid. Anal. Prev., 45, 382, 10.1016/j.aap.2011.08.003
Spiegelhalter, 2002, Bayesian measures of model complexity and fit, J. R. Stat. Soc. Series B Stat. Methodol., 64, 583, 10.1111/1467-9868.00353
Spiegelhalter, 2005
Strauss, 2013, Cyclist activity and injury risk analysis at signalized intersections: a Bayesian modelling approach, Accid. Anal. Prev., 59, 9, 10.1016/j.aap.2013.04.037
Strauss, 2015, Mapping cyclist activity and injury risk in a network combining smartphone GPS data and bicycle counts, Accid. Anal. Prev., 83, 132, 10.1016/j.aap.2015.07.014
Sterne, 2009, Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls, BMJ, 338, b2393, 10.1136/bmj.b2393
Su, 2021, A joint probability model for pedestrian crashes at macroscopic level: roles of environment, traffic, and population characteristics, Accid. Anal. Prev., 150, 105898, 10.1016/j.aap.2020.105898
Sun, 1999, Bayesian inference for CAR(1) models with noninformative priors, Biometrika, 86, 341, 10.1093/biomet/86.2.341
Sze, 2019, Exposure to pedestrian crash based on household survey data: effect of trip purpose, Accid. Anal. Prev., 128, 17, 10.1016/j.aap.2019.03.017
Tasic, 2017, Exploring the safety in numbers effect for vulnerable road users on a macroscopic scale, Accid. Anal. Prev., 109, 36, 10.1016/j.aap.2017.07.029
Thompson, 2019, Evidence for the ‘safety in density’ effect for cyclists: validation of agent-based modelling results, Inj. Prev., 25, 379, 10.1136/injuryprev-2018-042763
van Smeden, 2021, Approaches to addressing missing values, measurement error, and confounding in epidemiological studies, J. Clin. Epidemiol., 131, 89, 10.1016/j.jclinepi.2020.11.006
Vanparijs, 2015, Exposure measurement in bicycle safety analysis: a review of the literature, Accid. Anal. Prev., 84, 9, 10.1016/j.aap.2015.08.007
Wei, 2013, An empirical tool to evaluate the safety of cyclists: community based, macro-level collision prediction models using negative binomial regression, Accid. Anal. Prev., 61, 129, 10.1016/j.aap.2012.05.018
Wen, 2019, Bayesian spatio-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence, Accid. Anal. Prev., 132, 105249, 10.1016/j.aap.2019.07.025
Xie, 2021, Modeling bicycle crash costs using big data: a grid-cell-based Tobit model with random parameters, J. Transp. Geogr., 91, 102953, 10.1016/j.jtrangeo.2021.102953
Xie, 2018, Bayesian approach to model pedestrian crashes at signalized intersections with measurement errors in exposure, Accid. Anal. Prev., 121, 285, 10.1016/j.aap.2018.09.030
Xu, 2019, Cyclists injured in traffic crashes in Hong Kong: a call for action, PLoS One, 14, e0220785, 10.1371/journal.pone.0220785
Xu, 2017, Revisiting crash spatial heterogeneity: a Bayesian spatially varying coefficients approach, Accid. Anal. Prev., 98, 330, 10.1016/j.aap.2016.10.015
Xu, 2019, Rethinking safety in numbers: are intersections with more crossing pedestrians really safer?, Inj. Prev., 25, 20, 10.1136/injuryprev-2017-042469
Xu, 2021, On random-parameter count models for out-of-sample crash prediction: accounting for the variances of random-parameter distributions, Accid. Anal. Prev., 159, 106237, 10.1016/j.aap.2021.106237
Yao, 2015, Measures of activity-based pedestrian exposure to the risk of vehicle-pedestrian collisions: space-time vs. potential path tree methods, Accid. Anal. Prev., 75, 320, 10.1016/j.aap.2014.12.005
Yao, 2016, Safety in numbers for cyclists beyond national-level and city level data: a study on the non-linearity of risk within the city of Hong Kong, Inj. Prev., 22, 379, 10.1136/injuryprev-2016-041964
Yasmin, 2021, Enhancing non-motorist safety by simulating trip exposure using a transportation planning approach, Accid. Anal. Prev., 156, 106128, 10.1016/j.aap.2021.106128
Yasmin, 2016, Latent segmentation based count models: analysis of bicycle safety in Montreal and Toronto, Accid. Anal. Prev., 95, 157, 10.1016/j.aap.2016.07.015
Ye, 2021, Right-looking habit and maladaptation of pedestrians in areas with unfamiliar driving rules, Accid. Anal. Prev., 150, 105921, 10.1016/j.aap.2020.105921
Zeng, 2021, Applying a Bayesian multivariate spatio-temporal interaction model based approach to rank sites with promise using severity-weighted decision parameters, Accid. Anal. Prev., 95, 106190, 10.1016/j.aap.2021.106190
Zhou, 2020, Severity of passenger injuries on public buses: a comparative analysis of collision injuries and non-collision injuries, J. Safety Res., 74, 55, 10.1016/j.jsr.2020.04.003
Ziakopoulos, 2020, A review of spatial approaches in road safety, Accid. Anal. Prev., 135, 105323, 10.1016/j.aap.2019.105323
Zimmermann, 2017, Bike route choice modeling using GPS data without choice sets of paths, Transp. Res. Pt. C-Emerg. Technol., 75, 183, 10.1016/j.trc.2016.12.009