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Fei Su, Lili Zhai and Jianmei Liu
This study examines whether and how risk disclosures in Management Discussion and Analysis (MD&A) affected the stock price crash risk of China?s publicly listed firms over the period of 2017?2021. The empirical results show that risk disclosures with...
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Reuben Tamakloe
Studies have explored the factors influencing the safety of PTWs; however, very little has been carried out to comprehensively investigate the factors influencing fatal PTW crashes while considering the fault status of the rider in crash hotspot areas. T...
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Dimitrios Nikolaou, Anastasios Dragomanovits, Apostolos Ziakopoulos, Aikaterini Deliali, Ioannis Handanos, Christos Karadimas, George Kostoulas, Eleni Konstantina Frantzola and George Yannis
High quality data on road crashes, road design characteristics, and traffic are typically required to predict crash frequency. Surrogate Safety Measures (SSMs) are an alternative category of indicators that can be used in road safety analyses in order to...
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Benjamin Mudiangombe Mudiangombe and John Weirstrass Muteba Mwamba
This paper examines the effects of the Standard and Poor?s 500 (SP500) stock index crash during the global financial crisis and the COVID-19 pandemic periods on the South African top sector indices (basic materials, consumer goods, consumer services, fin...
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Yunfei Zhang, Fangqi Zhu, Qiuping Li, Zehang Qiu and Yajun Xie
Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention. Presently, with the emergence of GIS and data mining technologies, numerous geospat...
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Firas Najjar, Qusay Bsoul and Hasan Al-Refai
Neighbor Discovery Protocol (NDP) is a network protocol used in IPv6 networks to manage communication between neighboring devices. NDP is responsible for mapping IPv6 addresses to MAC addresses and discovering the availability of neighboring devices on t...
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Thanapong Champahom, Panuwat Wisutwattanasak, Chamroeun Se, Chinnakrit Banyong, Sajjakaj Jomnonkwao and Vatanavongs Ratanavaraha
Among several approaches to analyzing crash research, the use of machine learning and econometric analysis has found potential in the analysis. This study aims to empirically examine factors influencing the single-vehicle crash for personal cars and truc...
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Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha and Rattanaporn Kasemsri
Machine learning currently holds a vital position in predicting collision severity. Identifying factors associated with heightened risks of injury and fatalities aids in enhancing road safety measures and management. Presently, Thailand faces considerabl...
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Branislav Dimitrijevic, Sina Darban Khales, Roksana Asadi and Joyoung Lee
Highway crashes, along with the property damage, personal injuries, and fatalities that they cause, continue to present one of the most significant and critical transportation problems. At the same time, provision of safe travel is one of the main goals ...
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Tao Tao, Greg Lindsey, Jason Cao, Jueyu Wang
Pág. 1187 - 1208
Exposure to risk is a theoretically important correlate of crash risk, but many safety performance functions (SPFs) for pedestrian and bicycle traffic have yet to include the mode-specific measures of exposure. When SPFs are used in the systematic approa...
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