{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T01:39:04Z","timestamp":1767922744191,"version":"3.49.0"},"reference-count":44,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:00:00Z","timestamp":1643241600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51978522"],"award-info":[{"award-number":["51978522"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Department of Transport of Yunnan Province Science and Technology Innovation Demonstration Project","award":["2019 No. 16"],"award-info":[{"award-number":["2019 No. 16"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>The risky behaviours of bus drivers are of great concern to public health and environmental sustainability, especially for the buses operated between cities. With this in mind, the present study examined the distribution of risky behaviours among bus drivers, and the contributing factors to risky performance. To achieve this, 1648 records of GPS trajectory data and 8281 records of advance warning message data from Hong Kong\u2013Zhuhai\u2013Macau Bridge shuttle buses were obtained. The temporal and spatial distribution of risky behaviours was analysed. A random parameters negative binomial model was developed to further investigate the relationship between speed-related factors and risky behaviours. The results indicated that the warning of safety distance, lane departure, forward collision, and distraction were more likely to occur on weekdays. The period between 14 and 16 o\u2019clock obtained the highest frequency of safety distance and lane departure warnings. Regarding the model estimation results, indicators reflecting average speed, acceleration, and number of trips per day showed a statistically significant impact on safety distance and lane departure warnings. Also, the acceleration of bus drivers showed a mixed impact on lane departure warnings. Corresponding implications were discussed according to the findings to reduce the frequency of risky behaviours in shuttle bus operations.<\/jats:p>","DOI":"10.3390\/ijerph19031408","type":"journal-article","created":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T21:59:55Z","timestamp":1643320795000},"page":"1408","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Driving Performance Evaluation of Shuttle Buses: A Case Study of Hong Kong\u2013Zhuhai\u2013Macau Bridge"],"prefix":"10.3390","volume":"19","author":[{"given":"Ming","family":"Lv","sequence":"first","affiliation":[{"name":"CCCC Wenshan Highway Construction & Development Co., Ltd., Wenshan 663099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojun","family":"Shao","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education Tongji University, Shanghai 201804, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chimou","family":"Li","sequence":"additional","affiliation":[{"name":"CCCC Wenshan Highway Construction & Development Co., Ltd., Wenshan 663099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Chen","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education Tongji University, Shanghai 201804, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,27]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2018). Global Status Report on Road Safety 2018, World Health Organization."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.aap.2013.06.010","article-title":"Road safety issues for bus transport management","volume":"60","author":"Cafiso","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1037\/ocp0000040","article-title":"Bus operators\u2019 responses to job strain: An experimental test of the job demand-control model","volume":"22","author":"Useche","year":"2017","journal-title":"J. Occup. Health Psychol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1080\/13669877.2012.670132","article-title":"Safety attitudes, behaviour, anxiety and perceived control among professional and non-professional drivers","volume":"15","author":"Nordfjrn","year":"2012","journal-title":"J. Risk Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1016\/j.aap.2006.03.002","article-title":"Patterns of driver stress and coping strategies in a Greek sample and their relationship to aberrant behaviors and traffic accidents","volume":"38","author":"Kontogiannis","year":"2006","journal-title":"Accid. Anal. Prev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1080\/00140139008925335","article-title":"Errors and violations on the roads: A real distinction?","volume":"33","author":"Reason","year":"2011","journal-title":"Ergonomics"},{"key":"ref_7","unstructured":"Census and Statistics Department, Hong Kong Special Administrative Region (2020). Road Traffic Accident Statistics in Hong Kong, 2009 to 2018, Census and Statistics Department, Hong Kong Special Administrative Region."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.aap.2017.04.023","article-title":"Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers","volume":"104","author":"Useche","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.aap.2015.03.034","article-title":"Crash risk and aberrant driving behaviors among bus drivers: The role of personality and attitudes towards traffic safety","volume":"79","author":"Mallia","year":"2015","journal-title":"Accid. Anal. Prev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.aap.2018.04.014","article-title":"The influence of bus and taxi drivers\u2019 public self-consciousness and social anxiety on aberrant driving behaviors","volume":"117","author":"Huang","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"100560","DOI":"10.1016\/j.jth.2019.04.006","article-title":"Non-collision incidents on buses due to acceleration and braking manoeuvres leading to falling events among standing passengers","volume":"14","author":"Silvano","year":"2019","journal-title":"J. Transp. Health"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"106268","DOI":"10.1016\/j.aap.2021.106268","article-title":"Investigating factors affecting bus\/minibus accident severity in a developing country for different subgroup datasets characterised by time, pavement, and light conditions","volume":"159","author":"Tamakloe","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"ref_13","unstructured":"Tullis, T., and Albert, B. (2013). Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics, Morgan Kaufmann. [2nd ed.]."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.jsr.2010.02.005","article-title":"Social desirability effects in driver behavior inventories","volume":"41","year":"2010","journal-title":"J. Saf. Res."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Krajewski, J., Golz, M., Schnieder, S., Schnupp, T., Heinze, C., and Sommer, D. (2010, January 24\u201327). Detecting fatigue from steering behaviour applying continuous wavelet transform. Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, Eindhoven, The Netherlands.","DOI":"10.1145\/1931344.1931368"},{"key":"ref_16","unstructured":"Choi, S., Kim, J., Kwak, D., and Angkititrakul, P. (2007, January 17\u201319). Analysis and classification of driver behavior using in-vehicle can-bus information. Proceedings of the Biennial Workshop on DSP for In-Vehicle and Mobile Systems, Istanbul, Turkey."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"25968","DOI":"10.3390\/s151025968","article-title":"Data Fusion for Driver Behaviour Analysis","volume":"15","author":"Carmona","year":"2015","journal-title":"Sensors"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jsr.2020.04.003","article-title":"Severity of passenger injuries on public buses: A comparative analysis of collision injuries and non-collision injuries","volume":"74","author":"Zhou","year":"2020","journal-title":"J. Saf. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.aap.2013.12.022","article-title":"Factors affecting the probability of bus drivers being at-fault in bus-involved accidents","volume":"66","author":"Goh","year":"2014","journal-title":"Accid. Anal. Prev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1080\/15389588.2016.1262950","article-title":"Analyzing injury severity of bus passengers with different movements","volume":"18","author":"Li","year":"2017","journal-title":"Traffic Inj. Prev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1080\/15389588.2012.683841","article-title":"An Assessment of Commercial Motor Vehicle Driver Distraction Using Naturalistic Driving Data","volume":"13","author":"Hickman","year":"2012","journal-title":"Traffic Inj. Prev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1061\/(ASCE)TE.1943-5436.0000503","article-title":"Operating Speed of Different Classes of Vehicles at Horizontal Curves on Two-Lane Rural Highways","volume":"139","author":"Jacob","year":"2012","journal-title":"J. Transp. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1436364","DOI":"10.1155\/2016\/1436364","article-title":"Random Parameter Negative Binomial Model of Signalized Intersections","volume":"2016","author":"Park","year":"2016","journal-title":"Math. Probl. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.aap.2010.08.020","article-title":"Is a combined enforcement and penalty strategy effective in combating red light violations? An aggregate model of violation behavior in Hong Kong","volume":"43","author":"Sze","year":"2011","journal-title":"Accid. Anal. Prev."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Casado-Sanz, N., Guirao, B., Galera, A.L., and Attard, M. (2019). Investigating the Risk Factors Associated with the Severity of the Pedestrians Injured on Spanish Crosstown Roads. Sustainability, 11.","DOI":"10.3390\/su11195194"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Chen, F., Chen, S., and Ma, X. (2016). Crash frequency modeling using real-time environmental and traffic data and unbalanced panel data models. Int. J. Environ. Res. Public Health, 13.","DOI":"10.3390\/ijerph13060609"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.aap.2014.04.018","article-title":"Multivariate random-parameters zero-inflated negative binomial regression model: An application to estimate crash frequencies at intersections","volume":"70","author":"Dong","year":"2014","journal-title":"Accid. Anal. Prev."},{"key":"ref_28","unstructured":"Long, J.S., and Freese, J. (2006). Regression Models for Categorical Dependent Variables Using Stata, Stata Press. [2nd ed.]."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"909","DOI":"10.2307\/1911191","article-title":"Econometric Models for Count Data with an Application to the Patents-R&D Relationship","volume":"52","author":"Hausman","year":"1984","journal-title":"Econometrica"},{"key":"ref_30","unstructured":"Washington, S., Karlaftis, M., and Mannering, F. (2010). Statistical and Econometric Methods for Transportation Data Analysis, Chapman and Hall\/CRC."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3141\/1635-06","article-title":"Evaluating Median Crossover Likelihoods with Clustered Accident Counts: An Empirical Inquiry Using the Random Effects Negative Binomial Model","volume":"1635","author":"Shankar","year":"1998","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_32","unstructured":"Greene, W. (2003). Econometric Analysis, Pearson Education."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Chen, F., Song, M., and Ma, X. (2019). Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16142632"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Shao, X., Ma, X., Chen, F., Song, M., Pan, X., and You, K. (2020). A Random Parameters Ordered Probit Analysis of Injury Severity in Truck Involved Rear-End Collisions. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17020395"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.jsr.2013.05.002","article-title":"Investigating the different characteristics of weekday and weekend crashes","volume":"46","author":"Yu","year":"2013","journal-title":"J. Saf. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/S1369-8478(01)00014-6","article-title":"Sleep-related vehicle accidents: Some guides for road safety policies","volume":"4","author":"Horne","year":"2001","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1016\/j.aap.2010.10.020","article-title":"Crash avoidance potential of four passenger vehicle technologies","volume":"43","author":"Jermakian","year":"2011","journal-title":"Accid. Anal. Prev."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Friedrichs, F., and Yang, B. (2010, January 21\u201324). Camera-based drowsiness reference for driver state classification under real driving conditions. Proceedings of the 2010 IEEE Intelligent Vehicles Symposium, La Jolla, CA, USA.","DOI":"10.1109\/IVS.2010.5548039"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1016\/j.eswa.2013.07.108","article-title":"Detecting driver drowsiness using feature-level fusion and user-specific classification","volume":"41","author":"Jo","year":"2014","journal-title":"Expert Syst. Appl."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2854","DOI":"10.1016\/j.promfg.2015.07.783","article-title":"Review of Eye-related Measures of Drivers\u2019 Mental Workload","volume":"3","author":"Marquart","year":"2015","journal-title":"Procedia Manuf."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.aap.2015.02.021","article-title":"Identification of common features of vehicle motion under drowsy\/distracted driving: A case study in Wuhan, China","volume":"81","author":"Chen","year":"2015","journal-title":"Accid. Anal. Prev."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Mittal, A., Kumar, K., Dhamija, S., and Kaur, M. (2016, January 17\u201318). Head movement-based driver drowsiness detection: A review of state-of-art techniques. Proceedings of the 2016 IEEE International Conference on Engineering and Technology (ICETECH), Coimbatore, India.","DOI":"10.1109\/ICETECH.2016.7569378"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Regan, M., Lee, J., and Young, K. (2008). Driver Distraction: Theory, Effects, and Mitigation, CRC Press.","DOI":"10.1201\/9781420007497"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1109\/TVT.2005.844655","article-title":"The car-following and lane-changing collision prevention system based on the cascaded fuzzy inference system","volume":"54","author":"Mar","year":"2005","journal-title":"IEEE Trans. Veh. Technol."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/3\/1408\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:08:38Z","timestamp":1760134118000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/3\/1408"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,27]]},"references-count":44,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["ijerph19031408"],"URL":"https:\/\/doi.org\/10.3390\/ijerph19031408","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,27]]}}}