Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity

Liu, Liping; Li, Jiaming; Zhou, Lei; Fan, Tijun; Li, Shuxia

doi:10.3390/su13169427

Cited by 6 publications

(2 citation statements)

References 47 publications

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“…Yet, a recent review paper found that there have been extraordinarily few studies of the potential to transport dangerous goods by aircraft [50]. The literature mainly covered risk assessment [51], traffic flow prediction [52], vehicle routing [53], tour length optimization [54], facility locating, scheduling, aircraft loading [55], emergency response [56], and accident cause analysis [40].…”

Section: Transporting Dangerous Goodsmentioning

confidence: 99%

Reducing Risks by Transporting Dangerous Cargo in Drones

Bridgelall

2022

Sustainability

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The transportation of dangerous goods by truck or railway multiplies the risk of harm to people and the environment when accidents occur. Many manufacturers are developing autonomous drones that can fly heavy cargo and safely integrate into the national air space. Those developments present an opportunity to not only diminish risk but also to decrease cost and ground traffic congestion by moving certain types of dangerous cargo by air. This work identified a minimal set of metropolitan areas where initial cargo drone deployments would be the most impactful in demonstrating the safety, efficiency, and environmental benefits of this technology. The contribution is a new hybrid data mining workflow that combines unsupervised machine learning (UML) and geospatial information system (GIS) techniques to inform managerial or investment decision making. The data mining and UML techniques transformed comprehensive origin–destination records of more than 40 commodity category movements to identify a minimal set of metropolitan statistical areas (MSAs) with the greatest demand for transporting dangerous goods. The GIS part of the workflow determined the geodesic distances between and within all pairwise combinations of MSAs in the continental United States. The case study of applying the workflow to a commodity category of dangerous goods revealed that cargo drone deployments in only nine MSAs in four U.S. states can transport 38% of those commodities within 400 miles. The analysis concludes that future cargo drone technology has the potential to replace the equivalent of 4.7 million North American semitrailer trucks that currently move dangerous cargo through populated communities.

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Section: Transporting Dangerous Goodsmentioning

confidence: 99%

Reducing Risks by Transporting Dangerous Cargo in Drones

Bridgelall

2022

Sustainability

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“…For instance, in July 2019, an oil tanker overturned and caught fire in Nigeria, resulting in 48 deaths and over 90 injuries. In June 2020, a truck transporting liquefied petroleum gas exploded on the Shenhai Expressway in Zhejiang Province, China, killing 20 people and seriously injuring 24 others [ 1 ]. Therefore, the pivotal function of dangerous goods marks should not be neglected.…”

Section: Introductionmentioning

confidence: 99%

Recognition Mechanism of Dangerous Goods Marks: Evidence from an Event-Related Potential Study

Wei

Lin

et al. 2023

IJERPH

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Dangerous goods marks are the most effective means of alerting individuals to the potential dangers associated with the transport of dangerous goods. In order to gain a better understanding of how dangerous goods marks convey risk information, the cognitive processing of dangerous goods marks was examined by measuring event-related potentials (ERPs). We recruited 23 participants, and their ERP data were recorded. We discovered that the dangerous goods marks elicited a larger P200 amplitude and a smaller N300 amplitude, indicating that, compared to other marks, the dangerous goods marks exhibited stronger warning information and drew more attention from the subjects. Simultaneously, dangerous goods marks elicited insufficient emotional arousal in individuals. Therefore, these findings suggest that the designs of dangerous goods marks need to be improved, such as improving the graphic consistency. Changes in ERP patterns can be used to measure the risk perception level of dangerous goods marks, which can be used as an accurate indicator of the effectiveness of warning sign design. In addition, this study provides a theoretical foundation for the cognitive understanding mechanism of dangerous goods marks.

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