IATSS Research最新文献

Assessment of a two-way motorcycle lane to reduce traffic conflicts and their severity: A case study of Phaholyothin road, Thailand

IF 3.2

IATSS Research Pub Date : 2025-02-16 DOI: 10.1016/j.iatssr.2025.02.002

Harshana Senanayake, Kunnawee Kanitpong

{"title":"Assessment of a two-way motorcycle lane to reduce traffic conflicts and their severity: A case study of Phaholyothin road, Thailand","authors":"Harshana Senanayake, Kunnawee Kanitpong","doi":"10.1016/j.iatssr.2025.02.002","DOIUrl":"10.1016/j.iatssr.2025.02.002","url":null,"abstract":"<div><div>In Thailand, traffic rule violations and crashes involving motorcycles have increased with the rising number of new motorcycle registrations. A common issue in Thai traffic is motorcyclists riding in the wrong direction. This research proposes a two-way motorcycle lane design to address the wrong-way riding behavior of motorcyclists in Thailand. The design aims to segregate motorcycles from larger vehicles, improving safety. Traffic simulation software was used to model a selected road section in Thailand, incorporating the wrong-way riding behavior. After calibration, the proposed two-way motorcycle lane design was simulated within the same network. Traffic conflicts in each network were analyzed using the Surrogate Safety Assessment Model (SSAM). The safety of the proposed design was compared to the existing conditions and found to result in fewer severe conflicts, especially when priority is given to motorcycles at access points. The study also identified the most suitable width for the two-way motorcycle lane based on the safety assessment. For the motorcycle lane priority option, a 3-m lane width was found to be the safest, while for the option with priority given to vehicles on access roads, a 3.5-m lane width was identified as the safest design.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 93-103"},"PeriodicalIF":3.2,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods

IF 3.2

IATSS Research Pub Date : 2025-02-12 DOI: 10.1016/j.iatssr.2025.01.003

Qiankun Jiang , Haiyan Wang

{"title":"Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods","authors":"Qiankun Jiang , Haiyan Wang","doi":"10.1016/j.iatssr.2025.01.003","DOIUrl":"10.1016/j.iatssr.2025.01.003","url":null,"abstract":"<div><div>The current risk assessment methods for dangerous goods roads have the problem of being unable to cope with complex road conditions and the influence of multiple factors. This study extends 9 tertiary indicators from three secondary indicators: personnel factors, vehicle factors, and road factors, to evaluate the transportation risk of dangerous goods. After calculating the weights of each indicator, this study improves the parameters of the particle swarm algorithm using the aggregation and foraging behavior of artificial fish, and uses the improved algorithm to solve the optimal solution for the cost of dangerous goods road transportation. After experimental verification, the improved hybrid algorithm has optimized the path transportation time by 13.9 % compared to a single algorithm model. The total risk of simultaneously improving the algorithm was 0.8863, and the total transportation distance was 861 km, both lower than other algorithms. The comprehensive analysis shows that the established model is reasonable, and the designed improved hybrid algorithm can improve the efficiency of the transportation industry, while also contributing to the improvement of the current cost status of dangerous goods road transportation.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 72-80"},"PeriodicalIF":3.2,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying the relationship between auditory distractions, reaction time, and crash probability

IF 3.2

IATSS Research Pub Date : 2025-02-12 DOI: 10.1016/j.iatssr.2025.02.001

Rajesh Chouhan , Ashish Dhamaniya , A. Mohan Rao , Kamini Gupta

{"title":"Quantifying the relationship between auditory distractions, reaction time, and crash probability","authors":"Rajesh Chouhan , Ashish Dhamaniya , A. Mohan Rao , Kamini Gupta","doi":"10.1016/j.iatssr.2025.02.001","DOIUrl":"10.1016/j.iatssr.2025.02.001","url":null,"abstract":"<div><div>Mobile phones and listening to music while driving have become increasingly common behaviors despite the known risks they pose. The objective of this study is to examine the impact of phone call and listening to music on drivers' reaction times and to assess how these distractions influence the probability of crashes. Seventy seven participants with different age groups and gender were tested for their reaction time under three different environmental conditions: Normal, listening to music, and talking on the phone. Further, an Unmanned Aerial Vehicle (UAV) was used to collect traffic data on the National Highway, Signalized Intersection, and Toll Plaza. An automatic trajectory extraction tool was used to find the Time to Collision (TTC) values between different leader-follower pairs at all these locations. Reaction time variation under various testing conditions was plotted against the TTC values obtained from the field data to evaluate the real field accident probability. Under Normal condition, the average reaction times are 0.704 s for females and 0.727 s for males. With Music, the averages slightly increase to 0.743 s for females and 0.764 s for males. The Call condition shows a more pronounced effect, with average reaction times jumping to 0.800 s for females and 0.874 s for males. The study reveals that listening to music resulted in a 5.281 % increase in reaction time and a 10.57 % increase in crash probability compared to normal conditions. Being on a call had a much larger impact, resulting in an 18.47 % increase in reaction time and a 27.35 % increase in crash probability compared to normal conditions. These findings highlight the importance of avoiding distractions while driving and suggest that phone calls should be avoided while behind the wheel. The study can be used to develop policies regarding the use of mobile phones and also to compare accident risk across different traffic facilities.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 60-71"},"PeriodicalIF":3.2,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the potential of half-height platform screen doors to prevent personal injury accidents: Evidence from the Tokyo metropolitan area railway network

IF 3.2

IATSS Research Pub Date : 2025-02-12 DOI: 10.1016/j.iatssr.2025.01.002

Akira Okada, Taku Oshima

{"title":"Assessing the potential of half-height platform screen doors to prevent personal injury accidents: Evidence from the Tokyo metropolitan area railway network","authors":"Akira Okada, Taku Oshima","doi":"10.1016/j.iatssr.2025.01.002","DOIUrl":"10.1016/j.iatssr.2025.01.002","url":null,"abstract":"<div><div>While railway travel in Japan is considered one of the safest modes of transportation, passengers on station platforms still face notable risks, including hundreds of injuries and fatalities caused annually due to passenger falls, track intrusions, and collisions with trains. In response, railway operators have been working to enhance platform safety through the installation of platform screen doors (PSDs), supported with subsidies from the Japanese government and guided by numerical targets set by the government to promote their widespread adoption and reduce personal injury accidents. As prior research has primarily focused on their impact on suicide prevention, the effectiveness of PSDs in preventing various types of personal injury accidents has received limited attention. In this study, we compiled data on railway personal injury accidents in the Tokyo metropolitan area from 2002 to 2018, classified by accident attributes, as well as data on passenger numbers and PSD installation periods. Using a fixed-effect Poisson model, we estimated the extent to which the installation of half-height PSDs reduced personal injury accidents. The results show that the installation of PSDs led to a statistically significant reduction (93.1 %) in platform accidents, and almost completely prevented fatal incidents. Although the relationship between passenger volumes and accident frequency was expected to be positive, the parameter for passenger numbers was not statistically significant in most models, possibly due to the limitations of the dataset collected before COVID-19. These findings underscore the potential of PSD installations not only in improving platform safety but also in prompting further analysis of their cost-effectiveness to guide future implementation strategies.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 81-92"},"PeriodicalIF":3.2,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections

IF 3.2

IATSS Research Pub Date : 2025-01-22 DOI: 10.1016/j.iatssr.2025.01.001

Aninda Bijoy Paul Ph.D. , Ninad Gore Ph.D. , Shriniwas Arkatkar Ph.D. , Gaurang Joshi Ph.D. , Md Mazharul Haque Ph.D.

{"title":"Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections","authors":"Aninda Bijoy Paul Ph.D. , Ninad Gore Ph.D. , Shriniwas Arkatkar Ph.D. , Gaurang Joshi Ph.D. , Md Mazharul Haque Ph.D.","doi":"10.1016/j.iatssr.2025.01.001","DOIUrl":"10.1016/j.iatssr.2025.01.001","url":null,"abstract":"<div><div>A significant number of traffic crashes are reported at unsignalized intersections. However, in developing countries, challenges such as underreporting and limited crash data hinder the direct correlation of traffic conflicts with reported crashes for effective safety analysis. To address this, the study introduces Critical Conflict Probability (CCP) as a novel metric to quantify the intensity of conflict risk at unsignalized intersections. Higher CCP values indicate a greater likelihood of crash risk. CCP is derived from Post-Encroachment Time (PET) using the Generalized Extreme Value (GEV)-based extreme value theory (EVT) modeling framework. The CCP values are modeled as a function of traffic flow and driving behavior variables using three approaches: fixed parameters, random intercept, and grouped random parameters Beta regression models. The results revealed grouped random parameters Beta regression model as the best fit, highlighting the importance of accounting for spatial unobserved heterogeneity. As a practical outcome, the study develops a CCP-based intersection prioritization framework to rank and identify critical intersections within a traffic network, enabling traffic planners to improve safety management in data-scarce environments.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 49-59"},"PeriodicalIF":3.2,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of land-use and POIs contributing to traffic accidents around intersections

IF 3.2

IATSS Research Pub Date : 2024-12-31 DOI: 10.1016/j.iatssr.2024.12.004

Satoshi Nakao , Koshi Sawada , Andreas Keler , Jan-Dirk Schmöcker

{"title":"Analysis of land-use and POIs contributing to traffic accidents around intersections","authors":"Satoshi Nakao , Koshi Sawada , Andreas Keler , Jan-Dirk Schmöcker","doi":"10.1016/j.iatssr.2024.12.004","DOIUrl":"10.1016/j.iatssr.2024.12.004","url":null,"abstract":"<div><div>In Japan more than half of all traffic accidents occur at or near intersections and many at small intersections where only minor roads cross. A database of all intersections in the built-up area of Kyoto, Japan was created using Open Street Map data, including spatial characteristics such as the presence and types of surrounding facilities. This data was used as explanatory variables to analyze the relation to traffic accidents reported over a period of three years. Presence of traffic signals, pedestrian infrastructure and traffic flow was used as control variable. The results of the analysis suggest that traffic accidents are less likely to occur at intersections where parks are nearby. More accidents occur at medium and small intersections where facilities such as restaurants, supermarkets and convenience stores are nearby. We discuss that the results suggest that visibility but also attention when “briefly hopping into a store” as well as general business of junctions are determinants of accident risks. These results highlight that to reduce the occurrence of traffic accidents at intersections a broader understanding of who passes the junction at what times and the wider land-use characteristics of the vicinity is important.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 42-48"},"PeriodicalIF":3.2,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways

IF 3.2

IATSS Research Pub Date : 2024-12-30 DOI: 10.1016/j.iatssr.2024.12.003

Jirapon Sunkpho , Chamroeun Se , Warit Wipulanusat , Vatanavongs Ratanavaraha

{"title":"SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways","authors":"Jirapon Sunkpho , Chamroeun Se , Warit Wipulanusat , Vatanavongs Ratanavaraha","doi":"10.1016/j.iatssr.2024.12.003","DOIUrl":"10.1016/j.iatssr.2024.12.003","url":null,"abstract":"<div><div>Intersection-related crashes on Thailand's highways pose a significant risk to road users, particularly motorcyclists. This study develops customized Convolutional Neural Network (CNN) models to classify the severity of intersection crashes and utilizes SHapley Additive exPlanations (SHAP) to interpret the models. The methodology involves using three years of crash data from Thailand's highways, covering the period from 2018 to 2020. Additionally, three CNN model variations were developed: a basic CNN, a CNN with dropout (CNN-D), and a CNN with both dropout and L2 regularization (CNN-DR). The results demonstrate the superior performance of the CNN-DR model in classifying crash severity for both motorcycle-related and nonmotorcycle-related intersection crashes. SHAP analysis reveals key factors influencing crash severity, including the year of the crash, with a clear distinction between pre-COVID-19 years (2018–2019) and the pandemic year (2020). Crash mechanisms, such as impacts with vehicles from adjacent approaches and rear-end collisions, are significant factors that increase the likelihood of serious crashes. The study also identifies the type of intersection, specifically curved intersections, T-intersections, and Y-intersections, as major determinants of crash severity, particularly for motorcycle-related crashes. Time-of-day analysis reveals early morning hours (00:00 to 5:59) as high-risk periods for nonmotorcycle-related crashes. Furthermore, the influence of highway types and vehicle involvement, such as regional secondary highways and the presence of trucks, is linked to the increased severity of motorcycle-related crashes. The insights derived from this study can guide road safety managers in implementing targeted interventions to reduce intersection crash severity on Thailand's highways.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 27-41"},"PeriodicalIF":3.2,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Road safety studies at micro, meso, and macroscopic levels: A systematic review

IF 3.2

IATSS Research Pub Date : 2024-12-26 DOI: 10.1016/j.iatssr.2024.12.001

Parveen Kumar , Geetam Tiwari , Sourabh Bikas Paul

{"title":"Road safety studies at micro, meso, and macroscopic levels: A systematic review","authors":"Parveen Kumar , Geetam Tiwari , Sourabh Bikas Paul","doi":"10.1016/j.iatssr.2024.12.001","DOIUrl":"10.1016/j.iatssr.2024.12.001","url":null,"abstract":"<div><div>Traditionally, road safety studies have been conducted independently, either at microscopic or macroscopic levels. This study synthesizes existing literature on road safety research conducted at microscopic, macroscopic, and mesoscopic levels using a Systematic Literature Review (SLR). The objective of this research is to examine the advancement in crash prediction methodologies, crash analysis, and the integration of microscopic, macroscopic, and mesoscopic studies over the past two decades to understand the multiscale dynamics of crash occurrence. In addition, bibliometric analysis helps to map social, conceptual, and intellectual collaborations among sources, authors, and institutions. The comprehensive review of the existing literature shows that some analytical advancements in statistical approaches, as well as Machine Learning (ML) and Deep Learning (DL) approaches, have facilitated them to address data complexity issues. In the latter decade, researchers have started to integrate microscopic and macroscopic approaches to have a nuanced and cohesive understanding of the intrinsic relationships among crash contributing factors and to assess the impact of an integrated approach on the model's predictive performance. The bibliometric analysis of published literature revealed distinct clusters, each providing a unique perspective on road safety. The major gaps observed in the systematic review of studies are the lack of consideration of behavioural aspects of road users, the transferability of models between two independent frameworks, as well as across the integrated modelling methodologies. Another significant gap is the lack of a scale of adjacent street networks in mesoscopic studies. Overall, this review provided critical insights into safety studies that focus on distinct resolutions, analytical advancements in modelling methodologies, mapping of scientific collaborations and identifications of research gaps.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 10-26"},"PeriodicalIF":3.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nudging drivers: The influence of innovative green-phase forewarning systems on drivers' start-up behavior at signalized intersections

IF 3.2

IATSS Research Pub Date : 2024-12-20 DOI: 10.1016/j.iatssr.2024.12.002

Qinaat Hussain, Wael K.M. Alhajyaseen

{"title":"Nudging drivers: The influence of innovative green-phase forewarning systems on drivers' start-up behavior at signalized intersections","authors":"Qinaat Hussain, Wael K.M. Alhajyaseen","doi":"10.1016/j.iatssr.2024.12.002","DOIUrl":"10.1016/j.iatssr.2024.12.002","url":null,"abstract":"<div><div>Traffic congestion, especially at signalized intersections along urban arterials, poses a global challenge affecting travel efficiency, mental health, and air quality. This study investigates the effectiveness of innovative forewarning systems in reducing start-up lost time at signalized intersections. In this regard, four different forewarning systems were tested and compared with the untreated control condition in a driving simulator experiment inviting 61 participants with a valid driving license. All the tested conditions were tested for two different waiting times, i.e., 20 s and 60 s to evaluate their impact on reaction times, start-up lost time, and early start-up behaviors. The results of the study demonstrated that among the tested conditions, the clock-based VMS with a 2 s (VMS_2s) warning proved to be the most effective in significantly reducing start-up delays by 21.2 %. In addition, VMS_2s and R_yellow; the condition where the yellow signal was displayed simultaneously with the red signal during the last two seconds, effectively reduced drivers' reaction times at the onset of green signal by 53.5 % and 62.4 %, respectively. Moreover, the results did not reveal any instance of risky early start-up behaviors, such as red light running violations. Based on the study findings, the VMS_2s and R_yellow conditions are suggested for further evaluation and potential real-world implementation to improve drivers' start-up behavior at signalized intersections.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 1-9"},"PeriodicalIF":3.2,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Network screening and analysis of pedestrian and bicyclist crashes on Florida arterials using a corridor-level approach 网络筛选和分析的行人和骑自行车的碰撞在佛罗里达动脉使用走廊水平的方法

IF 3.2

IATSS Research Pub Date : 2024-12-01 DOI: 10.1016/j.iatssr.2024.11.002

John McCombs, Haitham Al-Deek, Adrian Sandt

{"title":"Network screening and analysis of pedestrian and bicyclist crashes on Florida arterials using a corridor-level approach","authors":"John McCombs, Haitham Al-Deek, Adrian Sandt","doi":"10.1016/j.iatssr.2024.11.002","DOIUrl":"10.1016/j.iatssr.2024.11.002","url":null,"abstract":"<div><div>In this paper, a corridor-level approach is used to network screen and analyze pedestrian and bicyclist crashes. This approach uses less data than site-level analyses while also considering the relationship between intersections and roadway segments. 548 roadway corridors covering over 1000 centerline miles (1609 km) were identified on urban and suburban arterial roads in seven Florida counties based on context classification and lane count. From 2017 to 2021, these corridors experienced 3773 pedestrian crashes and 2599 bicyclist crashes, with about 88 % of these crashes resulting in fatalities or injuries. Three negative binomial regression models were developed to predict pedestrian crashes only, bicyclist crashes only, and both pedestrian and bicyclist crashes together (combined crashes model). Significant predictors from the models included traffic volume, speed limit, area type, intersection-related variables, and modality-related variables. Using the combined crashes model, a 0.75-mile (1.21-km) corridor was identified as the corridor with highest potential for crash frequency reduction. Examination of this corridor suggested that bicycle lanes, improved lighting, and midblock crossings could be effective countermeasures to reduce pedestrian and bicyclist crashes. Based on several performance metrics, the developed approach provided an accurate and statistically reliable way to model crashes in corridors. This corridor-level approach can help agencies expedite network screening and identify locations where many pedestrian and bicyclist crashes are likely to occur so they can take proactive actions to prevent these crashes and help keep these vulnerable road users safe.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 574-583"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0