Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China

2022 ◽  
Vol 165 ◽  
pp. 106538
Author(s):  
Yikai Chen ◽  
Renjia Luo ◽  
Mark King ◽  
Qin Shi ◽  
Jie He ◽  
...  
Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.


Author(s):  
Andres Felipe Giraldo-Forero ◽  
Sebastian Garcia-Lopez ◽  
Paula Andrea Rodriguez-Marin ◽  
Juan Martinez ◽  
Yohan Ricardo Céspedes-Villar ◽  
...  

Author(s):  
Myungwoo Lee ◽  
Aemal J. Khattak

Traffic crash hot spot analyses allow identification of roadway segments that may be of safety concern. Understanding geographic patterns of existing motor vehicle crashes is one of the primary steps for geostatistical-based hot spot analysis. Much of the current literature, however, has not paid particular attention to differentiating among cluster types based on crash severity levels. This study aims at building a framework for identifying significant spatial clustering patterns characterized by crash severity and analyzing identified clusters quantitatively. A case study using an integrated method of network-based local spatial autocorrelation and the Kernel density estimation method revealed a strong spatial relationship between crash severity clusters and geographic regions. In addition, the total aggregated distance and the density of identified clusters obtained from density estimation allowed a quantitative analysis for each cluster. The contribution of this research is incorporating crash severity into hot spot analysis thereby allowing more informed decision making with respect to highway safety.


2019 ◽  
Vol 104 ◽  
pp. 42-55 ◽  
Author(s):  
Somayeh Mafi ◽  
Yassir AbdelRazig ◽  
Gholamreza Amirinia ◽  
Ayberk Kocatepe ◽  
Mehmet Baran Ulak ◽  
...  

Author(s):  
J. L. Gattis ◽  
Ramasubramaniyan Balakumar ◽  
Lynette K. Duncan

The safety records of rural and suburban four-lane highways in Arkansas as a function of median treatment and access density were examined. The study excluded roadways with posted speeds lower than 64 km/h (40 mph) and excluded fully controlled access roadways. When entering an urban area, the segments were normally terminated when the first traffic signal or stop sign was encountered. By using 3 years of crash data, the analyses revealed a number of relationships relating crash frequency to median, volume, and access frequency attributes. Crash severity and crash type were also examined. As median width increased, there was a weak but statistically significant decline in the crash rate. There was a weak but statistically significant increase in the crash rate as access density increased. The roadways with shoulders and depressed medians had the lowest crash rates, and the roadways with no median (i.e., painted centerline) and curbs had the worst safety record. An inspection of these data suggests that there may be a correlation between median type and land use type: certain types of median are more likely to be present in certain land use environments. This raises the possibility that in this and in other studies of the safety effects of median treatments, the findings may be influenced or skewed by correlations between median type and land use or surroundings or by other factors.


2017 ◽  
Vol 2 (3) ◽  
pp. 292-301
Author(s):  
Shamil Ahmed Flamarz Al-Arkawazi

This study is a survey to evaluate the flexible pavement conditions to determine and specify the types of the failures in the pavement for the selected highway. It is very significant to evaluate and identify the causes of the flexible pavement failures and select the proper and best treatment and maintenance type. The study had two major and critical goals which covered by considering the following three tasks; the first was the visual evaluation and inspection of existing flexible pavement conditions including the failures, the second to determine and find out the actual causes of these failures in the pavement, and  the third is to select the most and effective treatments and maintenance types. As a case study, Khanaqin-Kalar 2-way 2-lane rural highway was selected for evaluation and inspection purposes. The field evaluation works were achieved on the existing flexible pavement conditions of the selected rural highway. The results were most of the damages and failures in the pavement are serious and extreme surface deformation, cracks, disintegration, and surface defects. These damages and failures are caused by fatigue and other types of failures resulted from the movement of heavy vehicles and trucks, poor drainage design, unsuitable pavement layers thickness design, and improper pavement mix design and selected materials.


2020 ◽  
Vol 108 (5-6) ◽  
pp. 509 ◽  
Author(s):  
Julie Gobert ◽  
Romain Allais

This research aims at understanding better the nature of stakeholders’ resistance to and interest in repair and reuse. In fact, the authors assume that in the future waste management could be less centralized using a network of territorialized initiatives based on repair and reuse activities with high social and environmental values. Such system innovation requires tools and methods to support analysis and facilitate decision-making in multi-stakeholders, multi-scales systems. The framework for spatiotemporal analysis of territorial projects considers a project’s stakeholder network and the way they mobilize resources. These resources may be tangible or intangible, brought by individuals, organizations or even the territory. This communication focuses on the implementation of such an analysis in the community of communes Coeur de Savoie, to understand how local initiatives emerge and on which interactions and resources they are based. This paper proposes feedback on the implementation of the spatio-temporal analysis in one case study (Coeur de Savoie), and provides insights to build new networks promoting reuse and repair.


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