A Holistic Approach to Exploring the Root Factors of Work Zone Accidents
Publication: Journal of Management in Engineering
Volume 40, Issue 1
Abstract
Work zones are crucial for infrastructure maintenance and improvement. However, ongoing projects within work zones sometimes can place workers and drivers in dangerous situations. Despite safety regulations, work zone accidents persist with notable severity and frequency. Previous research has explored work zone accident causation, but it has not provided a comprehensive understanding of the factors that impact work zone safety. This paper addresses this research gap by following a multistep methodology. First, a systematic literature review (SLR) was conducted to identify a comprehensive list of 37 factors impacting work zone safety. Second, social network analysis (SNA) was employed to analyze the connectivity between these identified factors, based on the theoretical, mathematical, and computational approaches found in the literature. Third, the factors were grouped into clusters using the -means clustering technique, considering the overall discussions present in the literature. Last, association rules were mined from the clustered factors to determine combinations of factors that have not been extensively examined together, thereby identifying gaps and deficiencies in the present body of knowledge. The findings of the SNA indicate that design-related factors have received more extensive attention in the literature, whereas certain driver- and state-related factors have received comparatively less attention. The clustering analysis shows that a significant number of theoretically addressed safety factors in the literature frequently are examined together, which indicates a necessity for additional computational and mathematical investigations to gain a more comprehensive understanding of these factors. Moreover, the association rules highlight the groups of underexamined relationships of factors that affect work zone safety. Ultimately, this research contributes to the body of knowledge by consolidating the studies concerning work zone safety and using them to provide a robust roadmap for future research, thereby enhancing the advancement of this field and ultimately leading to improved work zone safety practices.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, and code generated or used during the study appear in the published paper.
Acknowledgments
The authors appreciate the funding support provided by the Missouri DOT (MODOT) to conduct this study. Any opinions and/or conclusions included in this paper though are those of the authors and do not necessarily represent MODOT.
References
Abdelmohsen, A. Z., and K. El-Rayes. 2018. “Optimizing the planning of highway work zones to maximize safety and mobility.” J. Manage. Eng. 34 (1): 04017048. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000570.
Abdul Nabi, M., and I. H. El-adaway. 2020. “Modular construction: Determining decision-making factors and future research needs.” J. Manage. Eng. 36 (6): 04020085. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000859.
Abdul Nabi, M., and I. H. El-adaway. 2022. “Understanding disputes in modular construction projects: Key common causes and their associations.” J. Constr. Eng. Manage. 148 (1): 04021184. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002208.
Abdulsattar, H., A. Mostafizi, and H. Wang. 2018. “Surrogate safety assessment of work zone rear-end collisions in a connected vehicle environment: Agent-based modeling framework.” J. Transp. Eng. Part A Syst. 144 (8): 04018038. https://doi.org/10.1061/JTEPBS.0000164.
Abotaleb, I. S., and I. H. El-adaway. 2018. “Managing construction projects through dynamic modeling: Reviewing the existing body of knowledge and deriving future research directions.” J. Manage. Eng. 34 (6): 04018033. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000633.
Agrawal, R., T. Imieliński, and A. Swami. 1993. “Mining association rules between sets of items in large databases.” In Proc., 1993 ACM SIGMOD Int. Conf. on Management of Data, 207–216. New York: Association for Computing Machinery.
Ahmed, A., H. A. Mohammed, J. Gambatese, and D. Hurwitz. 2021. “Effects of flashing blue lights mounted on paving equipment on vehicle speed behavior in work zones.” J. Constr. Eng. Manage. 147 (9): 04021101. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002133.
Ahmed, K., K. Al-Zoubi, M. A. Siddiqui, and M. Anas. 2016. “Evaluation of the effectiveness of portable variable message signs in work zones in United Arab Emirates.” IET Intel. Transport Syst. 10 (2): 114–121. https://doi.org/10.1049/iet-its.2015.0007.
Ahmed, M. O., and I. H. El-adaway. 2023. “Data-driven analysis of construction bidding stage–related causes of disputes.” J. Manage. Eng. 39 (5): 04023026. https://doi.org/10.1061/JMENEA.MEENG-5426.
Alaka, H. A., L. O. Oyedele, H. A. Owolabi, A. A. Oyedele, O. O. Akinade, M. Bilal, and S. O. Ajayi. 2017. “Critical factors for insolvency prediction: Towards a theoretical model for the construction industry.” Int. J. Constr. Manage. 17 (1): 25–49. https://doi.org/10.1080/15623599.2016.1166546.
Al-Bdairi, N. S. S. 2020. “Does time of day matter at highway work zone crashes?” J. Saf. Res. 73 (Mar): 47–56. https://doi.org/10.1016/j.jsr.2020.02.013.
Aljassmi, H., S. Han, and S. Davis. 2014. “Project pathogens network: New approach to analyzing construction-defects-generation mechanisms.” J. Constr. Eng. Manage. 140 (1): 04013028. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000774.
Almallah, M., Q. Hussain, W. K. Alhajyaseen, A. Pirdavani, K. Brijs, C. Dias, and T. Brijs. 2021. “Improved traffic safety at work zones through animation-based variable message signs.” Accid. Anal. Prev. 159 (Mar): 106284. https://doi.org/10.1016/j.aap.2021.106284.
Ambros, J., R. Turek, J. Elgner, Z. Křivánková, and V. Valentová. 2020. “Effectiveness evaluation of section speed control in Czech motorway work zones.” Safety 6 (3): 38. https://doi.org/10.3390/safety6030038.
Assaad, R., and I. H. El-adaway. 2021. “Determining critical combinations of safety fatality causes using spectral clustering and computational data mining algorithms.” J. Constr. Eng. Manage. 147 (5): 04021035. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002040.
Assaad, R., and I. H. El-Adaway. 2020. “Enhancing the knowledge of construction business failure: A social network analysis approach.” J. Constr. Eng. Manage. 146 (6): 04020052. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001831.
Awolusi, I., and E. D. Marks. 2019. “Active work zone safety: Preventing accidents using intrusion sensing technologies.” Front. Built Environ. 5 (Feb): 21. https://doi.org/10.3389/fbuil.2019.00021.
Bai, Y., Y. Yang, and Y. Li. 2015. “Determining the effective location of a portable changeable message sign on reducing the risk of truck-related crashes in work zones.” Accid. Anal. Prev. 83 (May): 197–202. https://doi.org/10.1016/j.aap.2015.07.024.
Bakhshi, A. K., and M. M. Ahmed. 2021. “Accounting for human-related unobserved heterogeneity in the safety performance of connected vehicles: An incorporation of Bayesian hierarchical negative binomial into simulated work zone warning application.” IATSS Res. 45 (4): 539–550. https://doi.org/10.1016/j.iatssr.2021.06.005.
Banerjee, S., M. Jeihani, and N. K. Khadem. 2019. “Influence of work zone signage on driver speeding behavior.” J. Mod. Transp. 27 (1): 52–60. https://doi.org/10.1007/s40534-019-0182-5.
Barlow, Z., H. A. Mohammed, and D. S. Hurwitz. 2020. “Development and evaluation of temporary traffic control devices for unmanned aerial system operations.” J. Surv. Eng. 146 (2): 04020004. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000309.
Bham, G. H., M. C. Leu, M. Vallati, and D. R. Mathur. 2014. “Driving simulator validation of driver behavior with limited safe vantage points for data collection in work zones.” J. Saf. Res. 49 (Apr): 53.e1-60. https://doi.org/10.1016/j.jsr.2014.02.012.
Bryden, J. E., L. B. Andrew, and J. S. Fortuniewicz. 2000. “Intrusion accidents on highway construction projects.” Transp. Res. Rec. 1715 (1): 30–35. https://doi.org/10.3141/1715-05.
Cao, D., J. Wu, J. Wu, B. Kulcsár, and X. Qu. 2021. “A platoon regulation algorithm to improve the traffic performance of highway work zones.” Comput.-Aided Civ. Infrastruct. Eng. 36 (7): 941–956. https://doi.org/10.1111/mice.12691.
Cao, J. X., and X. H. Liu. 2016. “Research on the equilibrium speed-density relationship around flyover work zone.” Promet-Traffic Transp. 28 (3): 277–289. https://doi.org/10.7307/ptt.v28i3.1892.
Chang, Y., N. Bharadwaj, P. Edara, and C. Sun. 2020. “Exploring contributing factors of hazardous events in construction zones using naturalistic driving study data.” IEEE Trans. Intell. Veh. 5 (3): 519–527. https://doi.org/10.1109/TIV.2020.2980741.
Chen, D., and S. Ahn. 2015. “Variable speed limit control for severe non-recurrent freeway bottlenecks.” Transp. Res. Part C Emerging Technol. 51 (Mar): 210–230. https://doi.org/10.1016/j.trc.2014.10.015.
Cheng, C. W., C. C. Lin, and S. S. Leu. 2010. “Use of association rules to explore cause–effect relationships in occupational accidents in the Taiwan construction industry.” Saf. Sci. 48 (4): 436–444. https://doi.org/10.1016/j.ssci.2009.12.005.
Cheng, G., and R. Cheng. 2020. “Optimizing speed limits upstream of freeway reconstruction and expansion work zones based on driver characteristics.” J. Transp. Eng. Part A Syst. 146 (7): 04020066. https://doi.org/10.1061/JTEPBS.0000389.
Chiang, Y.-H., F. K.-W. Wong, and S. Liang. 2018. “Fatal construction accidents in Hong Kong.” J. Constr. Eng. Manage. 144 (3): 04017121. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001433.
Choe, S., F. Leite, D. Seedah, and C. Caldas. 2014. “Evaluation of sensing technology for the prevention of backover accidents in construction work zones.” J. Inf. Technol. Constr. 19 (1): 1–19.
Choudhry, R. M. 2014. “Behavior-based safety on construction sites: A case study.” Accid. Anal. Prev. 70 (Mar): 14–23. https://doi.org/10.1016/j.aap.2014.03.007.
Debnath, A. K., R. Blackman, and N. Haworth. 2014. “A Tobit model for analyzing speed limit compliance in work zones.” Saf. Sci. 70 (Dec): 367–377. https://doi.org/10.1016/j.ssci.2014.07.012.
Debnath, A. K., R. Blackman, and N. Haworth. 2015. “Common hazards and their mitigating measures in work zones: A qualitative study of worker perceptions.” Saf. Sci. 72 (Mar): 293–301. https://doi.org/10.1016/j.ssci.2014.09.022.
Dehman, A., and B. Farooq. 2021. “Are work zones and connected automated vehicles ready for a harmonious coexistence? A scoping review and research agenda.” Transp. Res. Part C Emerging Technol. 133 (May): 103422. https://doi.org/10.1016/j.trc.2021.103422.
Domenichini, L., F. La Torre, V. Branzi, and A. Nocentini. 2017. “Speed behaviour in work zone crossovers: A driving simulator study.” Accid. Anal. Prev. 98 (Dec): 10–24. https://doi.org/10.1016/j.aap.2016.09.018.
Du, S., and S. Razavi. 2019. “Variable speed limit for freeway work zone with capacity drop using discrete-time sliding mode control.” J. Comput. Civ. Eng. 33 (2): 04019001. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000815.
Du, S., and S. Razavi. 2021. “Fault-tolerant control of variable speed limits for freeway work zone with recurrent sensor faults.” IEEE Trans. Intell. Transp. Syst. 23 (8): 10815–10826. https://doi.org/10.1109/TITS.2021.3095945.
Duan, K., X. Yan, J. Hang, and X. Li. 2022. “Study of improved signal-based merge strategy in work zone areas based on Cellular Automata simulation.” IET Intel. Transport Syst. 16 (4): 504–530. https://doi.org/10.1049/itr2.12155.
Duan, K., X. Yan, X. Li, J. Hang, and J. Yang. 2020. “Analysis of driver’s decision distance and merging distance in work zone area based on parametric survival models: With the aid of a driving simulator experiment.” Transp. Res. Part F Psychol. Behav. 71 (May): 31–48. https://doi.org/10.1016/j.trf.2020.03.017.
Duchon, J. C., and L. W. Laage. 1986. The consideration of human factors in the design of a backing-up warning system. In Vol. 30 of Proc., Human Factors Society Annual Meeting, 261–264. Thousand Oaks, CA: SAGE.
Elbashbishy, T. S., G. G. Ali, and I. H. El-adaway. 2022. “Blockchain technology in the construction industry: Mapping current research trends using social network analysis and clustering.” Construct. Manage. Econ. 40 (5): 406–427. https://doi.org/10.1080/01446193.2022.2056216.
Elghamrawy, T., K. El-Rayes, L. Liu, and I. Odeh. 2012. “Performance of temporary rumble strips at the edge of highway construction zones.” J. Constr. Eng. Manage. 138 (8): 923–930. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000511.
Ermagun, A., K. B. Kelarestaghi, M. Finney, and K. Heaslip. 2021. “‘Speed Up to Hit the Worker’: Impact of hacked road signs on work zone safety.” Int. J. Transp. Sci. Technol. 10 (1): 49–59. https://doi.org/10.1016/j.ijtst.2020.05.006.
Eteifa, S. O., and I. H. El-adaway. 2018. “Using social network analysis to model the interaction between root causes of fatalities in the construction industry.” J. Manage. Eng. 34 (1): 04017045. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000567.
Fan, W., S. Choe, and F. Leite. 2014. “Prevention of backover fatalities in highway work zones: A synthesis of current practices and recommendations.” Int. J. Transp. Sci. Technol. 3 (4): 311–337. https://doi.org/10.1260/2046-0430.3.4.311.
Fang, W., P. E. D. Love, H. Luo, and L. Ding. 2020. “Computer vision for behaviour-based safety in construction: A review and future directions.” Adv. Eng. Inf. 43 (Mar): 100980. https://doi.org/10.1016/j.aei.2019.100980.
Ferreira, C., S. S. Kumar, and D. M. Abraham. 2017. “Using backing cameras to prevent work zone accidents involving mobile equipment.” Pract. Period. Struct. Des. Constr. 22 (4): 04017021. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000343.
FHWA (Federal Highway Administration). 2003. Manual on uniform traffic control devices: For streets and highways. Washington, DC: DOT.
FHWA (Federal Highway Administration). 2017. “Facts and statistics: Work zone safety.” Accessed March 28, 2023. https://ops.fhwa.dot.gov/wz/resources/facts_stats.htm.
FHWA (Federal Highway Administration). 2022. “Work zone safety: Protecting workers on the road.” Accessed March 28, 2023. https://ops.fhwa.dot.gov/wz/workersafety/index.htm.
Gairín, J., and D. Castro. 2011. “Safety in schools: An integral approach.” Int. J. Leadership Educ. 14 (4): 457–474. https://doi.org/10.1080/13603124.2011.585664.
Galvis Arce, O. D., and Z. Zhang. 2022. “Framework to estimate the benefit–cost ratio of establishing minimum pavement friction levels for roadway networks.” Int. J. Pavement Eng. 23 (7): 2135–2147. https://doi.org/10.1080/10298436.2020.1847284.
Ge, H., H. Sun, and Y. Lu. 2020. “Research on characteristics and trends of traffic flow based on mixed velocity method and background difference method.” Math. Probl. Eng. 2020 (Aug): 1–9.
Ge, H., R. Xia, H. Sun, Y. Yang, and M. Huang. 2019. “Construction and simulation of rear-end conflicts recognition model based on improved TTC algorithm.” IEEE Access 7 (Aug): 134763–134771. https://doi.org/10.1109/ACCESS.2019.2937898.
Ge, H., and Y. Yang. 2020. “Research on calculation of warning zone length of freeway based on micro-simulation model.” IEEE Access 8 (Apr): 76532–76540. https://doi.org/10.1109/ACCESS.2020.2989471.
Genders, W., and S. N. Razavi. 2016. “Impact of connected vehicle on work zone network safety through dynamic route guidance.” J. Comput. Civ. Eng. 30 (2): 04015020. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000490.
Geurts, K., G. Wets, T. Brijs, and K. Vanhoof. 2003. “Profiling of high-frequency accident locations by use of association rules.” Transp. Res. Rec. 1840 (1): 123–130. https://doi.org/10.3141/1840-14.
Ghasemzadeh, A., and M. M. Ahmed. 2019a. “Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes.” J. Mod. Transp. 27 (Jun): 129–140. https://doi.org/10.1007/s40534-018-0178-6.
Ghasemzadeh, A., and M. M. Ahmed. 2019b. “Exploring factors contributing to injury severity at work zones considering adverse weather conditions.” IATSS Res. 43 (3): 131–138. https://doi.org/10.1016/j.iatssr.2018.11.002.
Giuffre, K. 2015. “Cultural production in networks.” In International encyclopedia of the social and behavioral sciences. Amsterdam, Netherlands: Elsevier.
Ha, T. J., and Z. A. Nemeth. 1995. “Detailed study of accident experience in construction and maintenance zones.” Transp. Res. Rec. 1509 (Apr): 38–45.
Hamzeie, R., P. T. Savolainen, and T. J. Gates. 2017. “Driver speed selection and crash risk: Insights from the naturalistic driving study.” J. Saf. Res. 63 (Mar): 187–194. https://doi.org/10.1016/j.jsr.2017.10.007.
Hang, J., X. Yan, X. Li, and K. Duan. 2022. “In-vehicle warnings for work zone and related rear-end collisions: A driving simulator experiment.” Accid. Anal. Prev. 174 (Sep): 106768. https://doi.org/10.1016/j.aap.2022.106768.
Hou, G., and S. Chen. 2020. “Study of work zone traffic safety under adverse driving conditions with a microscopic traffic simulation approach.” Accid. Anal. Prev. 145 (Sep): 105698. https://doi.org/10.1016/j.aap.2020.105698.
Htet, T. Z. 2019. “Prediction of web usages using apriori algorithm.” Int. J. Res. 6 (3): 663–669.
Huang, Y., and Y. Bai. 2014. “Effectiveness of graphic-aided portable changeable message signs in reducing vehicle speeds in highway work zones.” Transp. Res. Part C Emerging Technol. 48 (Nov): 311–321. https://doi.org/10.1016/j.trc.2014.09.007.
Hubbard, B., and S. Hubbard. 2021. “Utilization of UAS data by transportation agencies: Building on the experience of construction contractors.” Int. J. Constr. Manage. 23 (4): 679–685. https://doi.org/10.1080/15623599.2021.1914888.
Idewu, W., P. Chanpiwat, and H. Naghawi. 2020. “Identifying optimum taper lengths for zipper merging applications using real data and microscopic simulation.” Period. Polytech. Transp. Eng. 48 (3): 210–220. https://doi.org/10.3311/PPtr.13044.
INDOT (Indiana Department of Transportation). 2017. “Work zone safety.” Accessed March 28, 2023. https://www.in.gov/indot/safety/work-zone-safety/.
Islam, M. 2022. “An analysis of motorcyclists’ injury severities in work-zone crashes with unobserved heterogeneity.” IATSS Res. 46 (2): 281–289. https://doi.org/10.1016/j.iatssr.2022.01.003.
Iyer, K. C., and M. Sagheer. 2010. “Hierarchical structuring of PPP risks using interpretative structural modeling.” J. Constr. Eng. Manage. 136 (2): 151–159. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000127.
Jia, H., S. Ding, X. Xu, and R. Nie. 2014. “The latest research progress on spectral clustering.” Neural Comput. Appl. 24 (Apr): 1477–1486. https://doi.org/10.1007/s00521-013-1439-2.
Jin, H.-Y., and W.-L. Jin. 2015. “Control of a lane-drop bottleneck through variable speed limits.” Transp. Res. Part C Emerging Technol. 58 (Sep): 568–584. https://doi.org/10.1016/j.trc.2014.08.024.
Jin, R., S. Gao, A. Cheshmehzangi, and E. Aboagye-Nimo. 2018. “A holistic review of off-site construction literature published between 2008 and 2018.” J. Cleaner Prod. 202 (Mar): 1202–1219. https://doi.org/10.1016/j.jclepro.2018.08.195.
Jing, D., C. Song, Z. Guo, and R. Li. 2021. “Influence of the median opening length on driving behaviors in the crossover work zone–A driving simulation study.” Transp. Res. Part F Psychol. Behav. 82 (Oct): 333–347. https://doi.org/10.1016/j.trf.2021.09.001.
Jumari, M. Z. I., et al. 2022. “The Signal Warning Detector (SWAD) for sustainable working environment at highways.” Int. J. Integr. Eng. 14 (2): 157–163. https://doi.org/10.30880/ijie.2022.14.02.020.
Kaber, D., C. Pankok Jr., B. Corbett, W. Ma, J. Hummer, and W. Rasdorf. 2015. “Driver behavior in use of guide and logo signs under distraction and complex roadway conditions.” Appl. Ergon. 47 (Mar): 99–106. https://doi.org/10.1016/j.apergo.2014.09.005.
Kachroo, P., and A. Sharma. 2018. “Theory of safety surrogates using vehicle trajectories in macroscopic and microscopic settings: Application to dynamic message signs controlled traffic at work zones.” Transp. Res. Part C Emerging Technol. 91 (Jun): 62–76. https://doi.org/10.1016/j.trc.2018.03.021.
Kagdi, H., M. L. Collard, and J. I. Maletic. 2007. “An approach to mining call-usage patternswith syntactic context.” In Proc., 22nd IEEE/ACM Int. Conf. on Automated Software Engineering, 457–460. New York: IEEE.
Kang, M. W., and S. U. Momtaz. 2018. “Assessment of driver compliance on roadside safety signs with auditory warning sounds generated from pavement surface–a driving simulator study.” J. Traffic Transp. Eng. 5 (1): 1–13. https://doi.org/10.1016/j.jtte.2017.09.001.
Kaulkar, S., L. Vinodh, and P. Thompson. 2018. Initial analysis of multivariate factors for prediction of shark presence and attacks on the coast of North Carolina. In Proc., Foundations of Intelligent Systems: 24th Int. Symp., ISMIS 2018, Limassol, Cyprus, 426–435. Cham, Switzerland: Springer.
Kersavage, K., N. P. Skinner, J. D. Bullough, P. M. Garvey, E. T. Donnell, and M. S. Rea. 2018. “Investigation of flashing and intensity characteristics for vehicle-mounted warning beacons.” Accid. Anal. Prev. 119 (Oct): 23–28. https://doi.org/10.1016/j.aap.2018.06.008.
Khalef, R., and I. H. El-adaway. 2023. “Identifying design-build decision-making factors and providing future research guidelines: Social network and association rule analysis.” J. Constr. Eng. Manage. 149 (1): 04022151. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002431.
Kim, K., S. Kim, and D. Shchur. 2021a. “A UAS-based work zone safety monitoring system by integrating internal traffic control plan (ITCP) and automated object detection in game engine environment.” Autom. Constr. 128 (Apr): 103736. https://doi.org/10.1016/j.autcon.2021.103736.
Kim, N., B. A. Anderson, and C. R. Ahn. 2021b. “Reducing risk habituation to struck-by hazards in a road construction environment using virtual reality behavioral intervention.” J. Constr. Eng. Manage. 147 (11): 04021157. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002187.
Kitali, A. E., H. J. Haule, P. Alluri, and T. Sando. 2022. “Examining the influence of work zones on the propensity of secondary crashes.” J. Transp. Eng. Part A Syst. 148 (9): 04022061. https://doi.org/10.1061/JTEPBS.0000710.
Koilada, K., A. S. Mane, and S. S. Pulugurtha. 2020. “Odds of work zone crash occurrence and getting involved in advance warning, transition, and activity areas by injury severity.” IATSS Res. 44 (1): 75–83. https://doi.org/10.1016/j.iatssr.2019.07.003.
Krippendorff, K. 2004. Content analysis: An introduction to its methodology. Thousand Oaks, CA: SAGE.
Krizek, K. J., G. Barnes, and K. Thompson. 2009. “Analyzing the effect of bicycle facilities on commute mode share over time.” J. Urban Plann. Dev. 135 (2): 66–73. https://doi.org/10.1061/(ASCE)0733-9488(2009)135:2(66).
Kummetha, V. C., A. Kondyli, E. G. Chrysikou, and S. D. Schrock. 2020. “Safety analysis of work zone complexity with respect to driver characteristics—A simulator study employing performance and gaze measures.” Accid. Anal. Prev. 142 (22): 105566. https://doi.org/10.1016/j.aap.2020.105566.
La Torre, F., L. Domenichini, and A. Nocentini. 2017. “Effects of stationary work zones on motorway crashes.” Saf. Sci. 92 (Feb): 148–159. https://doi.org/10.1016/j.ssci.2016.10.008.
Lee, Y. C., M. Shariatfar, A. Rashidi, and H. W. Lee. 2020. “Evidence-driven sound detection for prenotification and identification of construction safety hazards and accidents.” Autom. Constr. 113 (Apr): 103127. https://doi.org/10.1016/j.autcon.2020.103127.
Li, Y., Y. Lu, Q. Cui, and Y. Han. 2019. “Organizational behavior in megaprojects: Integrative review and directions for future research.” J. Manage. Eng. 35 (4): 04019009. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000691.
Liang, G., F. Wang, W. Wang, X. Sun, and W. Wang. 2014. “Assessment of freeway work zone safety with improved cellular automata model.” J. Traffic Transp. Eng. 1 (4): 261–271. https://doi.org/10.1016/S2095-7564(15)30271-3.
Liao, C. W., and Y. H. Perng. 2008. “Data mining for occupational injuries in the Taiwan construction industry.” Saf. Sci. 46 (7): 1091–1102. https://doi.org/10.1016/j.ssci.2007.04.007.
Lopez-Flores, D., G. Ramirez-Alonso, D. Aguirre-Prieto, M. Acosta-Corral, A. Armendariz-Camargo, and B. Granados-Perez. 2020. “Implementation of two robotic flagmen controlled by CAN messages to increase the safety of human workers in road maintenance.” J. Appl. Res. Technol. 18 (4): 169–177. https://doi.org/10.22201/icat.24486736e.2020.18.4.1191.
Lv, L., Y. Sheng, C. Song, Y. Li, and Z. Guo. 2021. “Driving safety assurance method in work zone crossovers of highway reconstruction and expansion project.” J. Adv. Transp. 2021 (Oct): 1–12. https://doi.org/10.1155/2021/5708779.
Lyu, P., Y. Lin, L. Wang, and X. Yang. 2017. “Variable speed limit control for delay and crash reductions at freeway work zone area.” J. Transp. Eng. Part A Syst. 143 (12): 04017062. https://doi.org/10.1061/JTEPBS.0000099.
Ma, L., J. Li, R. Jin, and Y. Ke. 2019. “A holistic review of public-private partnership literature published between 2008 and 2018.” Adv. Civ. Eng. 2019 (Sep): 1–18. https://doi.org/10.1155/2019/7094653.
Mahasirikul, N., P. Aksorn, and W. Kusonkhum. 2021. “Driving speed and hazardous location in construction work zone case of highway 2 Hin Latnon-Sa At.” Geomate J. 20 (80): 143–151. https://doi.org/10.21660/2021.80.j2046.
Martin, J., A. Rozas, and A. Araujo. 2016. “A WSN-based intrusion alarm system to improve safety in road work zones.” J. Sens. 2016 (May): 1–8. https://doi.org/10.1155/2016/7048141.
Mathew, J. K., H. Li, H. Landvater, and D. M. Bullock. 2022. “Using connected vehicle trajectory data to evaluate the impact of automated work zone speed enforcement.” Sensors 22 (8): 2885. https://doi.org/10.3390/s22082885.
Melcher, D. J., and R. E. Keller. 2016. “Forensic engineering technology solutions for highway work zone temporary traffic control investigations.” J. Natl. Acad. Forensic Eng. 33 (1): 222. https://doi.org/10.51501/jotnafe.v33i1.31.
Meng, Q., and J. Weng. 2013. “Optimal subwork zone operational strategy for short-term work zone projects in four-lane two-way freeways.” J. Adv. Transp. 47 (2): 151–169. https://doi.org/10.1002/atr.153.
Meng, Q., J. Weng, and X. Qu. 2010. “A probabilistic quantitative risk assessment model for the long-term work zone crashes.” Accid. Anal. Prev. 42 (6): 1866–1877. https://doi.org/10.1016/j.aap.2010.05.007.
Mohan, S. B., and P. Gautam. 2002. “Cost of highway work zone injuries.” Pract. Period. Struct. Des. Constr. 7 (2): 68–73.
Mokhtarimousavi, S., J. C. Anderson, M. Hadi, and A. Azizinamini. 2021. “A temporal investigation of crash severity factors in worker-involved work zone crashes: Random parameters and machine learning approaches.” Transp. Res. Interdiscip. Perspect. 10 (Mar): 100378. https://doi.org/10.1016/j.trip.2021.100378.
Montella, A., M. Aria, A. D’Ambrosio, and F. Mauriello. 2011. “Data-mining techniques for exploratory analysis of pedestrian crashes.” Transp. Res. Rec. 2237 (1): 107–116. https://doi.org/10.3141/2237-12.
Murphy, D. J. 1992. Safety and health for production agriculture. 1st ed. St. Joseph, MI: American Society of Agricultural Engineers.
Murthy, G., J. J. Lu, and L. Rajaram. 2013. “Evaluation of intelligent transportation system operations using logistic regression models.” ITE J. 83 (3): 40.
Nabi, M. A., I. H. El-adaway, and C. Dagli. 2020. “A system dynamics model for construction safety behavior.” Procedia Comput. Sci. 168 (Feb): 249–256. https://doi.org/10.1016/j.procs.2020.02.254.
Nasirian, A., M. Arashpour, and B. Abbasi. 2019. “Critical literature review of labor multiskilling in construction.” J. Constr. Eng. Manage. 145 (1): 04018113. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001577.
Nasrollahzadeh, A. A., A. R. Sofi, and B. Ravani. 2021. “Identifying factors associated with roadside work zone collisions using machine learning techniques.” Accid. Anal. Prev. 158 (Aug): 106203. https://doi.org/10.1016/j.aap.2021.106203.
Naujoks, F., C. Purucker, K. Wiedemann, A. Neukum, S. Wolter, and R. Steiger. 2017. “Driving performance at lateral system limits during partially automated driving.” Accid. Anal. Prev. 108 (Nov): 147–162. https://doi.org/10.1016/j.aap.2017.08.027.
Neuendorf, K. A. 2002. The content analysis guidebook. Thousand Oaks, CA: SAGE.
NHTSA (National Highway Traffic Safety Administration). 2014. “Fatality analysis reporting system (FARS).” Accessed March 28, 2023. http://www.nhtsa.gov/FARS.
NHTSA (National Highway Traffic Safety Administration). 2016. “Fatality Analysis Reporting System (FARS).” Accessed March 28, 2023. https://www.nhtsa.gov/research-data/fatality-analysis-reporting-system-fars.
Niska, A., J. Wenäll, and J. Karlström. 2022. “Crash tests to evaluate the design of temporary traffic control devices for increased safety of cyclists at road works.” Accid. Anal. Prev. 166 (Mar): 106529. https://doi.org/10.1016/j.aap.2021.106529.
Nnaji, C., J. Gambatese, and H. W. Lee. 2018a. “Work zone intrusion: Technology to reduce injuries and fatalities.” Prof. Saf. 63 (4): 36–41.
Nnaji, C., A. Jafarnejad, and J. Gambatese. 2020a. “Effects of wearable light systems on safety of highway construction workers.” Pract. Period. Struct. Des. Constr. 25 (2): 04020003. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000469.
Nnaji, C., A. A. Karakhan, J. Gambatese, and H. W. Lee. 2020b. “Case study to evaluate work-zone safety technologies in highway construction.” Pract. Period. Struct. Des. Constr. 25 (3): 05020004. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000498.
Nnaji, C., H. W. Lee, A. Karakhan, and J. Gambatese. 2018b. “Developing a decision-making framework to select safety technologies for highway construction.” J. Constr. Eng. Manage. 144 (4): 04018016. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001466.
Nyende-Byakika, S. 2016. “Occupational safety and health issues on road construction sites in sub-Saharan Africa: A case study from Uganda.” Afr. J. Sci. Innovation Dev. 8 (3): 256–263. https://doi.org/10.1080/20421338.2016.1156838.
Oken, B. S., M. C. Salinsky, and S. Elsas. 2006. “Vigilance, alertness, or sustained attention: Physiological basis and measurement.” Clin. Neurophysiol. 117 (9): 1885–1901. https://doi.org/10.1016/j.clinph.2006.01.017.
Osman, M., S. Mishra, R. Paleti, and M. Golias. 2019. “Impacts of work zone component areas on driver injury severity.” J. Transp. Eng. Part A Syst. 145 (8): 04019032. https://doi.org/10.1061/JTEPBS.0000253.
Osman, M., R. Paleti, and S. Mishra. 2018. “Analysis of passenger-car crash injury severity in different work zone configurations.” Accid. Anal. Prev. 111 (May): 161–172. https://doi.org/10.1016/j.aap.2017.11.026.
Osman, M., R. Paleti, S. Mishra, and M. M. Golias. 2016. “Analysis of injury severity of large truck crashes in work zones.” Accid. Anal. Prev. 97 (Apr): 261–273. https://doi.org/10.1016/j.aap.2016.10.020.
Otte, E., and R. Rousseau. 2002. “Social network analysis: A powerful strategy, also for the information sciences.” J. Inf. Sci. 28 (6): 441–453. https://doi.org/10.1177/016555150202800601.
Pande, A., and M. Abdel-Aty. 2009. “Market basket analysis of crash data from large jurisdictions and its potential as a decision support tool.” Saf. Sci. 47 (1): 145–154. https://doi.org/10.1016/j.ssci.2007.12.001.
Park, H., S. H. Han, E. M. Rojas, J. Son, and W. Jung. 2011. “Social network analysis of collaborative ventures for overseas construction projects.” J. Constr. Eng. Manage. 137 (5): 344–355. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000301.
Park, H., C. Oh, J. Moon, and S. Kim. 2018. “Development of a lane change risk index using vehicle trajectory data.” Accid. Anal. Prev. 110 (Jan): 1–8. https://doi.org/10.1016/j.aap.2017.10.015.
Park, J., E. Marks, Y. K. Cho, and W. Suryanto. 2016. “Performance test of wireless technologies for personnel and equipment proximity sensing in work zones.” J. Constr. Eng. Manage. 142 (1): 04015049. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001031.
Park, J., X. Yang, Y. K. Cho, and J. Seo. 2017. “Improving dynamic proximity sensing and processing for smart work-zone safety.” Autom. Constr. 84 (Dec): 111–120. https://doi.org/10.1016/j.autcon.2017.08.025.
Park, J. J., I. K. Seo, and G. Y. Lee. 2021. “Evaluation of the expressway work zone guidance systems using a virtual driving simulator.” KSCE J. Civ. Eng. 25 (4): 1446–1454. https://doi.org/10.1007/s12205-021-0868-1.
Patel, G., K. Sennah, H. Azimi, C. Lam, and R. Kianoush. 2014. “Development of a precast concrete barrier wall system for bridge decks.” PCI J. 59 (1): 83–102. https://doi.org/10.15554/pcij.01012014.83.102.
Pedregosa, F., et al. 2011. “Scikit-learn: Machine learning in Python.” J. Mach. Learn. Res. 12: 2825–2830.
Pigman, J. G., and K. R. Agent. 1990. Highway accidents in construction and maintenance work zones. Washington, DC: Transportation Research Record.
Qiao, F., R. Rahman, Q. Li, and L. Yu. 2017. “Safe and environment-friendly forward collision warning messages in the advance warning area of a construction zone.” Int. J. Intell. Transp. Syst. Res. 15 (Apr): 166–179. https://doi.org/10.1007/s13177-016-0130-2.
Qing, Z., S. Zhang, H. Brown, and C. Sun. 2019. “Evaluation of truck-mounted automated flagger assistance devices in Missouri: Case study.” J. Transp. Eng. Part A Syst. 145 (12): 05019006. https://doi.org/10.1061/JTEPBS.0000271.
Raddaoui, O., M. M. Ahmed, and S. M. Gaweesh. 2020. “Assessment of the effectiveness of connected vehicle weather and work zone warnings in improving truck driver safety.” IATSS Res. 44 (3): 230–237. https://doi.org/10.1016/j.iatssr.2020.01.001.
Rahim, M. A., and H. M. Hassan. 2021. “A deep learning based traffic crash severity prediction framework.” Accid. Anal. Prev. 154 (Feb): 106090. https://doi.org/10.1016/j.aap.2021.106090.
Rahman, M. M., C. F. Ahmed, and C. K. S. Leung. 2019. “Mining weighted frequent sequences in uncertain databases.” Inf. Sci. 479 (Apr): 76–100. https://doi.org/10.1016/j.ins.2018.11.026.
Rahman, M. M., L. Strawderman, T. Garrison, D. Eakin, and C. C. Williams. 2017. “Work zone sign design for increased driver compliance and worker safety.” Accid. Anal. Prev. 106 (Sep): 67–75. https://doi.org/10.1016/j.aap.2017.05.023.
Raju, N., S. Arkatkar, and G. Joshi. 2020. “Effect of construction work zone on traffic stream parameters using vehicular trajectory data under mixed traffic conditions.” J. Transp. Eng. Part A Syst. 146 (6): 5020002. https://doi.org/10.1061/JTEPBS.0000353.
Rashvand, P., and M. Zaimi Abd Majid. 2014. “Critical criteria on client and customer satisfaction for the issue of performance measurement.” J. Manage. Eng. 30 (1): 10–18. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000183.
Ravani, B., and C. Wang. 2018. “Speeding in highway work zone: An evaluation of methods of speed control.” Accid. Anal. Prev. 113 (Apr): 202–212. https://doi.org/10.1016/j.aap.2018.01.030.
Rayaprolu, P., S. Ishak, Y. Qi, and B. Wolshon. 2013. “Operational assessment of joint and conventional lane merge configurations for freeway work zones.” J. Intell. Transp. Syst. 17 (4): 255–267. https://doi.org/10.1080/15472450.2012.707052.
Rea, M. S., J. D. Bullough, L. C. Radetsky, N. P. Skinner, and A. Bierman. 2018. “Toward the development of standards for yellow flashing lights used in work zones.” Light. Res. Technol. 50 (4): 552–570. https://doi.org/10.1177/1477153516670935.
Ren, T., Y. Xie, and L. Jiang. 2021. “New England merge: A novel cooperative merge control method for improving highway work zone mobility and safety.” J. Intell. Transp. Syst. 25 (1): 107–121. https://doi.org/10.1080/15472450.2020.1822747.
Ren, W., and Z. Wu. 2015. “Real-time anticollision system for mobile cranes during lift operations.” J. Comput. Civ. Eng. 29 (6): 04014100. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000438.
Saha, P. 2021. “An optimization model to determine an appropriate budget for improving work zone safety.” IATSS Res. 45 (1): 123–130. https://doi.org/10.1016/j.iatssr.2020.06.004.
Sakhakarmi, S., and J. Park. 2022. “Improved intrusion accident management using haptic signals in roadway work zone.” J. Saf. Res. 80 (Feb): 320–329. https://doi.org/10.1016/j.jsr.2021.12.015.
Sakhare, R. S., J. Desai, H. Li, M. A. Kachler, and D. M. Bullock. 2022. “Methodology for monitoring work zones traffic operations using connected vehicle data.” Safety 8 (2): 41. https://doi.org/10.3390/safety8020041.
Santos, B., V. Trindade, C. Polónia, and L. Picado-Santos. 2021. “Detecting risk factors of road work zone crashes from the information provided in police crash reports: The case study of Portugal.” Safety 7 (1): 12. https://doi.org/10.3390/safety7010012.
Sayed, M. A., X. Qin, R. J. Kate, D. M. Anisuzzaman, and Z. Yu. 2021. “Identification and analysis of misclassified work-zone crashes using text mining techniques.” Accid. Anal. Prev. 159 (Sep): 106211. https://doi.org/10.1016/j.aap.2021.106211.
Ščerba, M., T. Apeltauer, and J. Apeltauer. 2015. “Portable telematic system as an effective traffic flow management in workzones.” Transp. Telecommun. J. 16 (2): 99–106. https://doi.org/10.1515/ttj-2015-0009.
Shakouri, M., L. H. Ikuma, F. Aghazadeh, K. Punniaraj, and S. Ishak. 2014. “Effects of work zone configurations and traffic density on performance variables and subjective workload.” Accid. Anal. Prev. 71 (Oct): 166–176. https://doi.org/10.1016/j.aap.2014.05.016.
Shen, J., W. Yan, P. Li, and X. Xiong. 2021. “Deep learning-based object identification with instance segmentation and pseudo-LiDAR point cloud for work zone safety.” Comput.-Aided Civ. Infrastruct. Eng. 36 (12): 1549–1567. https://doi.org/10.1111/mice.12749.
Shi, C., B. Wei, S. Wei, W. Wang, H. Liu, and J. Liu. 2021. “A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm.” J. Wireless Commun. Networking 31 (2021). https://doi.org/10.1186/s13638-021-01910-w.
Silvestri, A., F. De Felice, and A. Petrillo. 2012. “Multi-criteria risk analysis to improve safety in manufacturing systems.” Int. J. Prod. Res. 50 (17): 4806–4821. https://doi.org/10.1080/00207543.2012.657968.
Son, H., K. A. Erk, and C. S. Davis. 2021. “Substrate temperature effects on the peel behavior of temporary pavement marking tapes.” J. Adhes. 99 (2): 153–165. https://doi.org/10.1080/00218464.2021.2008369.
Song, J., Y. Li, Z. Feng, and H. Wang. 2019. “Cluster analysis of the intellectual structure of PPP research.” J. Manage. Eng. 35 (1): 04018053. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000664.
Steinbakk, R. T., P. Ulleberg, F. Sagberg, and K. I. Fostervold. 2019a. “Effects of roadwork characteristics and drivers’ individual differences on speed preferences in a rural work zone.” Accid. Anal. Prev. 132 (Nov): 105263. https://doi.org/10.1016/j.aap.2019.105263.
Steinbakk, R. T., P. Ulleberg, F. Sagberg, and K. I. Fostervold. 2019b. “Speed preferences in work zones: The combined effect of visible roadwork activity, personality traits, attitudes, risk perception and driving style.” Transp. Res. Part F Psychol. Behav. 62 (Jun): 390–405. https://doi.org/10.1016/j.trf.2019.01.017.
Syakur, M. A., B. K. Khotimah, E. M. S. Rochman, and B. D. Satoto. 2018. “Integration k-means clustering method and elbow method for identification of the best customer profile cluster.” IOP Conf. Ser.: Mater. Sci. Eng. 336 (May): 012017. https://doi.org/10.1088/1757-899X/336/1/012017.
Sze, N. N., and Z. Song. 2019. “Factors contributing to injury severity in work zone related crashes in New Zealand.” Int. J. Sustainable Transp. 13 (2): 148–154. https://doi.org/10.1080/15568318.2018.1452083.
Törner, M., and A. Pousette. 2009. “Safety in construction—A comprehensive description of the characteristics of high safety standards in construction work, from the combined perspective of supervisors and experienced workers.” J. Saf. Res. 40 (6): 399–409. https://doi.org/10.1016/j.jsr.2009.09.005.
Türkay, B., and A. Aydin. 2020. “‘DEViR’: A software for determining and visualizing optimal tree felling direction in three-dimensional terrain.” Eur. J. For. Eng. 7 (1): 1–11. https://doi.org/10.33904/ejfe.932208.
Ullman, G. L., B. R. Ullman, and M. D. Finley. 2006. Analysis of crashes at active night work zones in Texas (No. 06-2384). Washington, DC: Transportation Research Board.
Valdes, D., C. Lopez del Puerto, B. Colucci, A. Figueroa, R. G. Rosario, E. C. Torres, and M. X. Rojas Ibarra. 2019. “Comparative analysis between distracted driving texting laws and driver’s behavior in construction work zones.” J. Leg. Aff. Dispute Resolut. Eng. Constr. 11 (4): 04519026. https://doi.org/10.1061/(ASCE)LA.1943-4170.0000315.
Valdés-Díaz, D. M., C. López del Puerto, B. Colucci-Ríos, A. M. Figueroa-Medina, E. Concepción-Carrasco, L. Sierra-Betancur, and Y. Taveras-Canela. 2021. “Driver compliance in work zones: Two-lane rural roads versus freeways.” J. Leg. Aff. Dispute Resolut. Eng. Constr. 13 (4): 04521036. https://doi.org/10.1061/(ASCE)LA.1943-4170.0000497.
Verma, A., S. D. Khan, J. Maiti, and O. B. Krishna. 2014. “Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports.” Saf. Sci. 70 (Dec): 89–98. https://doi.org/10.1016/j.ssci.2014.05.007.
Vignali, V., A. Bichicchi, A. Simone, C. Lantieri, G. Dondi, and M. Costa. 2019. “Road sign vision and driver behaviour in work zones.” Transp. Res. Part F Psychol. Behav. 60 (22): 474–484. https://doi.org/10.1016/j.trf.2018.11.005.
Vincent, C., and R. Amalberti. 2015. “Safety in healthcare is a moving target.” BMJ Qual. Saf. 24 (9): 539–540. https://doi.org/10.1136/bmjqs-2015-004403.
Wang, J., H. Song, T. Fu, M. Behan, L. Jie, Y. He, and Q. Shangguan. 2022. “Crash prediction for freeway work zones in real time: A comparison between convolutional neural network and binary logistic regression model.” Int. J. Transp. Sci. Technol. 11 (3): 484–495. https://doi.org/10.1016/j.ijtst.2021.06.002.
Wang, M., C. C. Wang, S. Sepasgozar, and S. Zlatanova. 2020. “A systematic review of digital technology adoption in off-site construction: Current status and future direction towards industry 4.0.” Buildings 10 (11): 204. https://doi.org/10.3390/buildings10110204.
Wang, Z., W. He, X. Zhang, Y. Wang, B. Wu, and Y. Wang. 2021. “Lane-based vehicular speed characteristics analysis for freeway work zones using aerial videos.” Can. J. Civ. Eng. 48 (3): 274–283. https://doi.org/10.1139/cjce-2019-0131.
Wang, Z., and J. Lee. 2021. “Enhancing construction truck safety at work zones: A microscopic traffic simulation study.” IEEE Access 9 (Mar): 49750–49759. https://doi.org/10.1109/ACCESS.2021.3069275.
Webster, J., and R. T. Watson. 2002. “Analyzing the past to prepare for the future: Writing a literature review.” MIS Q. 26 (2): 13–23.
Weng, J., G. Du, D. Li, and Y. Yu. 2018. “Time-varying mixed logit model for vehicle merging behavior in work zone merging areas.” Accid. Anal. Prev. 117 (Aug): 328–339. https://doi.org/10.1016/j.aap.2018.05.005.
Weng, J., G. Du, and L. Ma. 2016a. “Driver injury severity analysis for two work zone types.” In Vol. 169 of Proc., Institution of Civil Engineers-Transport, 97–106. London: Thomas Telford.
Weng, J., and Q. Meng. 2011. “Analysis of driver casualty risk for different work zone types.” Accid. Anal. Prev. 43 (5): 1811–1817. https://doi.org/10.1016/j.aap.2011.04.016.
Weng, J., and Q. Meng. 2012. “Effects of environment, vehicle and driver characteristics on risky driving behavior at work zones.” Saf. Sci. 50 (4): 1034–1042. https://doi.org/10.1016/j.ssci.2011.12.005.
Weng, J., and Q. Meng. 2014. “Rear-end crash potential estimation in the work zone merging areas.” J. Adv. Transp. 48 (3): 238–249. https://doi.org/10.1002/atr.211.
Weng, J., Q. Meng, and D. Z. Wang. 2013. “Tree-based logistic regression approach for work zone casualty risk assessment.” Risk Anal. 33 (3): 493–504.
Weng, J., S. Xue, and X. Yan. 2015a. “Modeling vehicle merging behavior in work zone merging areas during the merging implementation period.” IEEE Trans. Intell. Transp. Syst. 17 (4): 917–925. https://doi.org/10.1109/TITS.2015.2477335.
Weng, J., S. Xue, Y. Yang, X. Yan, and X. Qu. 2015b. “In-depth analysis of drivers’ merging behavior and rear-end crash risks in work zone merging areas.” Accid. Anal. Prev. 77 (Apr): 51–61. https://doi.org/10.1016/j.aap.2015.02.002.
Weng, J., J. Z. Zhu, X. Yan, and Z. Liu. 2016b. “Investigation of work zone crash casualty patterns using association rules.” Accid. Anal. Prev. 92 (Jun): 43–52. https://doi.org/10.1016/j.aap.2016.03.017.
Wennström, J., H. Sundquist, and R. Karlsson. 2016. “Life cycle cost considerations in project appraisals of collision-free roads.” Struct. Infrastruct. Eng. 12 (2): 275–287. https://doi.org/10.1080/15732479.2015.1009125.
Wilson-Donnelly, K. A., H. A. Priest, E. Salas, and C. S. Burke. 2005. “The impact of organizational practices on safety in manufacturing: A review and reappraisal.” Hum. Factors Ergon. Manuf. Serv. Ind. 15 (2): 133–176. https://doi.org/10.1002/hfm.20000.
Xu, C., J. Bao, C. Wang, and P. Liu. 2018. “Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China.” J. Saf. Res. 67 (Dec): 65–75. https://doi.org/10.1016/j.jsr.2018.09.013.
Xu, H., Y. Zhang, C. G. Cassandras, L. Li, and S. Feng. 2020. “A bi-level cooperative driving strategy allowing lane changes.” Transp. Res. Part C Emerging Technol. 120 (Nov): 102773. https://doi.org/10.1016/j.trc.2020.102773.
Xu, Y., A. Greenwood, G. Corso, M. Hunter, and M. O. Rodgers. 2016. “Safety effects of freeway work zone delineation methods: Response time as a surrogate measure.” Adv. Transp. Stud. (1): 113–126.
Xu, Z., and Q. Yang. 2019. “Novel fast safety assessment method for the buffer section of maintenance work zone.” IET Intel. Transport Syst. 13 (5): 773–779. https://doi.org/10.1049/iet-its.2018.5173.
Yang, H., K. Ozbay, and B. Bartin. 2015. “Effectiveness of temporary rumble strips in alerting motorists in short-term surveying work zones.” J. Transp. Eng. 141 (10): 05015003. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000789.
Yang, H., K. Ozbay, O. Ozturk, and M. Yildirimoglu. 2013. “Modeling work zone crash frequency by quantifying measurement errors in work zone length.” Accid. Anal. Prev. 55 (Jun): 192–201. https://doi.org/10.1016/j.aap.2013.02.031.
Yang, X., Y. Lu, and Y. Lin. 2017. “Optimal variable speed limit control system for freeway work zone operations.” J. Comput. Civ. Eng. 31 (1): 04016044. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000610.
Yen, L., F. Fouss, C. Decaestecker, P. Francq, and M. Saerens. 2007. “Graph nodes clustering based on the commute-time kernel.” In Proc., Advances in Knowledge Discovery and Data Mining: 11th Pacific-Asia Conf., PAKDD 2007, 1037–1045. Cham, Switzerland: Springer.
Yousif, S., M. Alterawi, and R. R. Henson. 2014. “Red light running and close following behaviour at urban shuttle-lane roadworks.” Accid. Anal. Prev. 66 (May): 147–157. https://doi.org/10.1016/j.aap.2014.01.021.
Yuan, C., S. Ma, Y. Hu, Y. Zhang, and T. Zuo. 2020. “Scenario deduction on fire accidents for oil–gas storage and transportation based on case statistics and a dynamic Bayesian network.” J. Hazard. Toxic Radioact. Waste 24 (3): 04020004. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000495.
Zhang, C., B. Wang, S. Yang, M. Zhang, Q. Gong, and H. Zhang. 2020. “The driving risk analysis and evaluation in rightward zone of expressway reconstruction and extension engineering.” J. Adv. Transp. 2020 (Sep): 1–13. https://doi.org/10.1155/2020/8943463.
Zhang, C., H. Zhang, X. Ma, M. Zhang, and S. Wang. 2018. “Driving risk assessment in work zones using cloud model.” Math. Probl. Eng. 2018 (Aug): 1–9. https://doi.org/10.1155/2018/8759580.
Zhang, F., and J. A. Gambatese. 2017. “Highway construction work-zone safety: Effectiveness of traffic-control devices.” Pract. Period. Struct. Des. Constr. 22 (4): 04017010. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000327.
Zhang, K., and M. Hassan. 2019. “Identifying the factors contributing to injury severity in work zone rear-end crashes.” J. Adv. Transp. 2019 (May): 1–9. https://doi.org/10.1155/2019/4126102.
Zhang, Z., B. Akinci, and S. Qian. 2022. “Inferring heterogeneous treatment effects of work zones on crashes.” Accid. Anal. Prev. 177 (Nov): 106811. https://doi.org/10.1016/j.aap.2022.106811.
Zhao, L., and G. Shi. 2019. “Maritime anomaly detection using density-based clustering and recurrent neural network.” J. Navig. 72 (4): 894–916. https://doi.org/10.1017/S0373463319000031.
Zhao, X., H. Chen, H. Li, X. Li, X. Chang, X. Feng, and Y. Chen. 2021. “Development and application of connected vehicle technology test platform based on driving simulator: Case study.” Accid. Anal. Prev. 161 (Oct): 106330. https://doi.org/10.1016/j.aap.2021.106330.
Zhu, Z., P. Edara, and C. Sun. 2016. “Case study of an alternative merging sign design for temporary traffic control in work zones.” J. Transp. Eng. 142 (1): 05015005. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000805.
Information & Authors
Information
Published In
Journal of Management in Engineering
Volume 40 • Issue 1 • January 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: May 31, 2023
Accepted: Aug 29, 2023
Published online: Oct 28, 2023
Published in print: Jan 1, 2024
Discussion open until: Mar 28, 2024
ASCE Technical Topics:
- Accidents
- Bibliographies
- Business management
- Construction engineering
- Construction management
- Construction sites
- Driver behavior
- Ecosystems
- Engineering fundamentals
- Environmental engineering
- Field tests
- Information management
- Infrastructure
- Mathematics
- Practice and Profession
- Public administration
- Public health and safety
- Safety
- Tests (by type)
- Traffic engineering
- Transportation engineering
- Vegetation
- Work zones
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Radwa Eissa, Islam H. El-adaway, Accelerating the Circular Economy Transition: A Construction Value Chain-Structured Portfolio of Strategies and Implementation Insights, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-14550, 150, 8, (2024).