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    Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means

    Hossain, Ahmed / Sun, Xiaoduan / Das, Subasish et al. | Elsevier | 2024
    Schlagwörter: Random parameter binary logit with heterogeneity in means (RPBL-HM) model , Unobserved heterogeneity

    Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US

    Wang, Shuli / Gao, Kun / Zhang, Lanfang et al. | Elsevier | 2024
    Schlagwörter: Spatial heterogeneity

    Safety analysis of pedestrians distracted by mobile phones at street crossings: Field study in Nanjing

    Wang, Chenzhu / Hou, Mingyu / Easa, Said M et al. | Elsevier | 2024
    Schlagwörter: Random parameters model with heterogeneity in means

    Heterogeneity in crash data: A cross comparison between ordered probability model and its variant using crashes at suburban type arterial

    Khanal, Bedan / Zahertar, Anahita / Lavrenz, Steven | Elsevier | 2024
    Schlagwörter: Heterogeneity models

    An investigation of heterogeneous impact, temporal stability, and aggregate shift in factors affecting the driver injury severity in single-vehicle rollover crashes

    Ren, Qiaoqiao / Xu, Min / Yan, Xintong | Elsevier | 2024
    Schlagwörter: Unobserved heterogeneity in means and variances

    Bivariate joint analysis of injury severity of drivers in truck-car crashes accommodating multilayer unobserved heterogeneity

    Song, Dongdong / Yang, Xiaobao / Yang, Yitao et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity , Heterogeneity in the means

    Modeling spatiotemporal heterogeneity in interval-censored traffic incident time to normal flow by leveraging crowdsourced data: A geographically and temporally weighted proportional hazard analysis

    Gu, Yangsong / Zhang, Hairuilong / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Spatiotemporal heterogeneity

    Alternative approaches to modeling heterogeneity to analyze injury severity sustained by motorcyclists in two-vehicle crashes

    Wang, Huanhuan / Cui, Pengfei / Song, Dongdong et al. | Elsevier | 2023
    Schlagwörter: Scale heterogeneity , Heterogeneity in the means and variances

    A full Bayesian multilevel approach for modeling interaction effects in single-vehicle crashes

    Cai, Zhenggan / Wei, Fulu / Guo, Yongqing | Elsevier | 2023
    Schlagwörter: Heterogeneity

    Stability of factors influencing walking-along-the-road pedestrian injury severity outcomes under different lighting conditions: A random parameters logit approach with heterogeneity in means and out-of-sample predictions

    Tamakloe, Reuben / Adanu, Emmanuel Kofi / Atandzi, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity

    Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances

    Li, Zhenning / Wang, Chengyue / Liao, Haicheng et al. | Elsevier | 2023
    Schlagwörter: Heterogeneity in means and variances

    Unraveling preference heterogeneity in willingness-to-pay for enhanced road safety: A hybrid approach of machine learning and quantile regression

    Subhan, Fazle / Ali, Yasir / Zhao, Shengchuan | Elsevier | 2023
    Schlagwörter: Heterogeneity

    Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management

    Mo, Weiwei / Lee, Jaeyoung / Abdel-Aty, Mohamed et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity

    Impact of real-time weather conditions on crash injury severity in Kentucky using the correlated random parameters logit model with heterogeneity in means

    Kumar Pathivada, Bharat / Banerjee, Arunabha / Haleem, Kirolos | Elsevier | 2023
    Schlagwörter: Heterogeneity in Means

    Technology, Skills, and Performance: The Case of Robots in Surgery

    Freier Zugriff
    Tafti, Elena Ashtari | BASE | 2023
    Schlagwörter: Health innovation -- Surgical robots -- Surgical performance -- Skill heterogeneity

    Addressing endogeneity between hazardous actions and motorcyclist injury severity by integrating generalized propensity score approach and instrumental variable model

    Yu, Qiong / Zhou, Yue / Ayele Atumo, Eskindir et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity

    Evaluating alternate discrete outcome frameworks for modeling riders' red light running behavior

    Su, Xiangtong / Yang, Xiaobao / Gao, Ziyou et al. | Elsevier | 2023
    Schlagwörter: Random parameters logit model with heterogeneity in means and variances , Correlated random parameters logit model with heterogeneity-in-means

    Unraveling the differences in distracted driving injury severities in passenger car, sport utility vehicle, pickup truck, and minivan crashes

    Islam, Mouyid | Elsevier | 2023
    Schlagwörter: Unobserved Heterogeneity

    Critical safety management driver identification based upon temporal variation characteristics of driving behavior

    Zhang, Ruici / Wen, Xiang / Cao, Huanqiang et al. | Elsevier | 2023
    Schlagwörter: Driving behavior heterogeneity

    Comparative analysis of pedestrian crash severity at United Kingdom rural road intersections and Non-Intersections using latent class clustering and ordered probit model

    Salehian, Alireza / Aghabayk, Kayvan / Seyfi, MohammadAli et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity

    Modeling of single-vehicle and multi-vehicle truck-involved crashes injury severities: A comparative and temporal analysis in a developing country

    Se, Chamroeun / Champahom, Thanapong / Jomnonkwao, Sajjakaj et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity

    Exploring associations between built environment and crash risk of children in school commuting

    Wu, Yaxin / Hu, Xiaowei / Ji, Xiaofeng et al. | Elsevier | 2023
    Schlagwörter: Spatio-temporal heterogeneity

    Injury severity analysis of single-vehicle and two-vehicle crashes with electric scooters: A random parameters approach with heterogeneity in means and variances

    Gao, Dongsheng / Zhang, Xiaoqiang | Elsevier | 2023
    Schlagwörter: Heterogeneity in means and variances

    Examining the associations between urban bus drivers’ rule violations and crash frequency using observational data

    Zhu, Tong / Qin, Dan / Jia, Wenjian | Elsevier | 2023
    Schlagwörter: Heterogeneity in means and variances

    Correlated random parameters model with heterogeneity in means for analysis of factors affecting the perceived value of road accidents and travel time

    Wisutwattanasak, Panuwat / Jomnonkwao, Sajjakaj / Se, Chamroeun et al. | Elsevier | 2023
    Schlagwörter: Unobserved heterogeneity

    Learning about injury severity from no-injury crashes: A random parameters with heterogeneity in means and variances approach

    Adanu, Emmanuel Kofi / Powell, Lawrence / Jones, Steven et al. | Elsevier | 2022
    Schlagwörter: Unobserved heterogeneity

    Exploring factors affecting the injury severity of freeway tunnel crashes: A random parameters approach with heterogeneity in means and variances

    Pervez, Amjad / Lee, Jaeyoung / Huang, Helai | Elsevier | 2022
    Schlagwörter: Unobserved heterogeneity

    Understanding the role of faster emergency medical service response in the survival time of pedestrians

    Mahdinia, Iman / Mohammadnazar, Amin / Khattak, Asad J. | Elsevier | 2022
    Schlagwörter: Heterogeneity

    Bicyclists injury severities: An empirical assessment of temporal stability

    Hosseini, Seyed Hashem / Davoodi, Seyed Rasoul / Behnood, Ali | Elsevier | 2022
    Schlagwörter: Heterogeneity in means and variances

    An empirical analysis of factors contributing to roadway infrastructure damage from expressway accidents: A Bayesian random parameters Tobit approach

    Zeng, Qiang / Wang, Qianfang / Wang, Xiaofei | Elsevier | 2022
    Schlagwörter: Unobserved heterogeneity

    Bayesian spatial correlation, heterogeneity and spillover effect modeling for speed mean and variance on urban road networks

    Zhou, Yue / Jiang, Xinguo / Fu, Chuanyun et al. | Elsevier | 2022
    Schlagwörter: Spatial heterogeneity

    Further compelling evidence for safety-in-numbers: It is more than meets the eye

    Heydari, Shahram / Elvik, Rune | Elsevier | 2022
    Schlagwörter: Heterogeneity in mean models

    From the past to the future: Modeling the temporal instability of safety performance functions

    Fu, Xing / Liu, Jun / Jones, Steven et al. | Elsevier | 2022
    Schlagwörter: Temporal heterogeneity

    Temporal analysis of cellphone-use-involved crash injury severities: Calling for preventing cellphone-use-involved distracted driving

    Wu, Peijie / Song, Li / Meng, Xianghai | Elsevier | 2022
    Schlagwörter: Heterogeneity in means and variances

    Localizing safety performance functions for two-way STOP-controlled (TWST) three-leg intersections on rural two-lane two-way (TLTW) roadways in Alabama: A geospatial modeling approach with clustering analysis

    Zhang, Zihe / Liu, Jun / Li, Xiaobing et al. | Elsevier | 2022
    Schlagwörter: Spatial heterogeneity

    A data fusion approach of police-hospital linked data to examine injury severity of motor vehicle crashes

    Alzaffin, Khalid / Kaye, Sherrie-Anne / Watson, Angela et al. | Elsevier | 2022
    Schlagwörter: Unobserved heterogeneity

    A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes in Queensland

    Behara, Krishna N.S. / Paz, Alexander / Arndt, Owen et al. | Elsevier | 2021
    Schlagwörter: Heterogeneity in means , Unobserved heterogeneity

    The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and variances

    Li, Ye / Gu, Ruifeng / Lee, Jaeyoung et al. | Elsevier | 2021
    Schlagwörter: Heterogeneity in means and variances , Unobserved heterogeneity

    Investigating factors influencing rollover crash risk on mountainous interstates

    Alrejjal, Anas / Farid, Ahmed / Ksaibati, Khaled | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity effects

    Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP

    Chang, Iljoon / Park, Hoontae / Hong, Eungi et al. | Elsevier | 2021
    Schlagwörter: Local heterogeneity

    An analysis of single-vehicle truck crashes on rural curved segments accounting for unobserved heterogeneity

    Islam, Mouyid / Hosseini, Parisa / Jalayer, Mohammad | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity , Mixed logit model with heterogeneity in means and variances

    Investigating factors affecting bus/minibus accident severity in a developing country for different subgroup datasets characterised by time, pavement, and light conditions

    Tamakloe, Reuben / Lim, Sungho / Sam, Enoch F. et al. | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity

    Investigating the uniqueness of crash injury severity in freeway tunnels: A comparative study in Guizhou, China

    Zhou, Zichu / Meng, Fanyu / Song, Cancan et al. | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity

    Exploration of the police response time to motor-vehicle crashes in Pennsylvania, USA

    Liu, Chenhui | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity

    A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates

    Alrejjal, Anas / Farid, Ahmed / Ksaibati, Khaled | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity effects

    Factors associated with consecutive and non-consecutive crashes on freeways: A two-level logistic modeling approach

    Zichu, Zhou / Fanyu, Meng / Cancan, Song et al. | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity

    Correlated mixed logit modeling with heterogeneity in means for crash severity and surrogate measure with temporal instability

    Wang, Kai / Shirani-bidabadi, Niloufar / Razaur Rahman Shaon, Mohammad et al. | Elsevier | 2021
    Schlagwörter: Heterogeneity in means

    Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means

    Se, Chamroeun / Champahom, Thanapong / Jomnonkwao, Sajjakaj et al. | Elsevier | 2021
    Schlagwörter: Unobserved heterogeneity

    Temporal instability assessment of injury severities of motor vehicle drivers at give-way controlled unsignalized intersections: A random parameters approach with heterogeneity in means and variances

    Zubaidi, Hamsa / Obaid, Ihsan / Alnedawi, Ali et al. | Elsevier | 2021
    Schlagwörter: Heterogeneity in mean and variance

    Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk

    Wang, Yongjie / Su, Qian / Wang, Chao et al. | Elsevier | 2021
    Schlagwörter: Behavioral heterogeneity

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