scholarly journals Examining Injury Severity of Pedestrians in Vehicle–Pedestrian Crashes at Mid-Blocks Using Path Analysis

2020 ◽  
Vol 17 (17) ◽  
pp. 6170 ◽  
Author(s):  
Haorong Peng ◽  
Xiaoxiang Ma ◽  
Feng Chen
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Injury Severity ◽  
Road Traffic ◽  
Environmental Benefits ◽  
Direct And Indirect Effects ◽  
Contributing Factors ◽  
Explanatory Variables ◽  
Pedestrian Injury ◽  
Pedestrian Crashes

Walking is a sustainable mode of transport which has well established health and environmental benefits. Unfortunately, hundreds of thousands of pedestrians lose their lives each year over the world due to involvement in road traffic crashes, and mid-blocks witness a significant portion of pedestrian fatalities. This study examined the direct and indirect effects of various contributing factors on the pedestrian injury severity in vehicle–pedestrian crashes at mid-blocks. Data of vehicle–pedestrian crashes during 2002–2009 were extracted from the NASS-GES, with pre-crash behaviors and injury severity included. The SEM path analysis method was applied to uncover the inter-relationships between the pedestrian injury severity and various explanatory variables. Both the direct and indirect effects of these explanatory variables on the pedestrian injury severity were calculated based on the marginal effects in the multinomial and ordered logit models. The results indicate some variables including number of road lanes and the age of pedestrian have indirect impacts on the injury severity through influencing the pre-crash behaviors. Although most indirect effects are relatively small compared with the direct effects, the results in this study still provide some valuable information to improve the overall understanding of pedestrian injury severity at mid-blocks.

scholarly journals Development of a Partial Proportional Odds Model for Pedestrian Injury Severity at Intersections

2020 ◽  
Vol 32 (4) ◽  
pp. 559-571
Author(s):  
Xi Lu ◽  
Zhuanglin Ma ◽  
Steven I-Jy Chien ◽  
Ying Xiong
Keyword(s):  
Injury Severity ◽  
Signalized Intersections ◽  
Proportional Odds ◽  
Contributing Factors ◽  
Explanatory Variables ◽  
Large Size ◽  
Pedestrian Injury ◽  
Proportional Odds Assumption ◽  
Hit And Run ◽  
Ordered Response

Pedestrian injury in crashes at intersections often results from complex interaction among various factors. The factor identification is a critical task for understanding the causes and improving the pedestrian safety. A total of 2,614 crash records at signalized and non-signalized intersections were applied. A Partial Proportional Odds (PPO) model was developed to examine the factors influencing Pedestrian Injury Severity (PIS) because it can accommodate the ordered response nature of injury severity. An elasticity analysis was conducted to quantify the marginal effects of contributing factors on the likelihood of PIS. For signalized intersections, seven explanatory variables significantly affect the likelihood of PIS, in which five explanatory variables violate the Proportional Odds Assumption (POA). Local driver, truck, holiday, clear weather, and hit-and-run lead to higher likelihood of severer PIS. For non-signalized intersections, six explanatory variables were found significant to the PIS, in which three explanatory variables violate the POA. Young and adult drivers, senior pedestrian, bus/van, divided road, holiday, and darkness tend to increase the likelihood of severer PIS. The vehicles of large size and heavy weight (e.g. truck, bus/van) are significant factors to the PIS at both signalized and non-signalized intersections. The proposed PPO model has demonstrated its effectiveness in identifying the effects of contributing factors on the PIS.

Causal Analysis of Hydrogen Acceptance

2005 ◽  
Vol 1941 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Eric Molin
Keyword(s):  
Structural Equation Model ◽  
Indirect Effects ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Causal Analysis ◽  
Equation Model ◽  
Factual Knowledge ◽  
Direct And Indirect Effects ◽  
Explanatory Variables ◽  
Willingness To Use

This paper presents and discusses a structural equation model on hydrogen acceptance. This model unravels the direct and indirect effects among personal characteristics, knowledge about hydrogen, perceptions, attitudes, and willingness to use hydrogen applications. In addition, indicators of differently colored information that can be provided by mass media have been included as explanatory variables. The estimated model indicates that colored information directly influences perceptions of hydrogen and indirectly influences attitudes about hydrogen and willingness to use it. In particular, negatively colored information decreases hydrogen acceptance, which cannot be counterbalanced by providing positively colored information. Furthermore, the model suggests that more factual knowledge about hydrogen increases its acceptance. The paper further discusses the likely development of hydrogen acceptance in the future and how practitioners can influence this.

scholarly journals Path analysis for selection of feijoa with greater pulp weight

2017 ◽  
Vol 47 (6) ◽  
Author(s):  
Joel Donazzolo ◽  
Vanessa Padilha Salla ◽  
Simone Aparecida Zolet Sasso ◽  
Moeses Andrigo Danner ◽  
Idemir Citadin ◽  
...  
Keyword(s):  
Path Analysis ◽  
Indirect Selection ◽  
Total Weight ◽  
Direct And Indirect Effects ◽  
Rio Grande Do Sul ◽  
Basic Variable ◽  
Explanatory Variables ◽  
Acca Sellowiana ◽  
Number Of Seeds ◽  
Selection Of

ABSTRACT: The objective of this paper was to identify the direct and indirect effects of feijoa fruits (Acca sellowiana) traitson pulp weight, in order to use these traits in indirect genotypes selection. Fruits of five feijoa plants were collected in Rio Grande do Sul, in the years of 2009, 2010 and 2011. Six traits were evaluated: diameter, length, total weight, pulp weight, peel thickness and number of seeds per fruit. In the path analysis, with or without ridge regression, pulp weight was considered as the basic variable, and the other traits were considered as explanatory variables. Total weight and fruit diameter had high direct effect, and are the main traits associated with pulp weight. These traits may serve as criteria for indirect selection to increase feijoa pulp weight, since they are easy to be measured.

scholarly journals Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective

2020 ◽  
Vol 12 (6) ◽  
pp. 2237 ◽  
Author(s):  
Natalia Casado-Sanz ◽  
Begoña Guirao ◽  
Maria Attard
Keyword(s):  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Fatal Outcome ◽  
Policy Support ◽  
Health Concern ◽  
Contributing Factors ◽  
Factors Affecting ◽  
Traffic Volumes ◽  
New Vision

Globally, road traffic accidents are an important public health concern which needs to be tackled. A multidisciplinary approach is required to understand what causes them and to provide the evidence for policy support. In Spain, one of the roads with the highest fatality rate is the crosstown road, a particular type of rural road in which urban and interurban traffic meet, producing conflicts and interference with the population. This paper contributes to the previous existing research on the Spanish crosstown roads, providing a new vision that had not been analyzed so far: the driver’s perspective. The main purpose of the investigation is to identify the contributing factors that increment the likelihood of a fatal outcome based on single-vehicle crashes, which occurred on Spanish crosstown roads in the period 2006-2016. In order to achieve this aim, 1064 accidents have been analyzed, applying a latent cluster analysis as an initial tool for the fragmentation of crashes. Next, a multinomial logit (MNL) model was applied to find the most important factors involved in driver injury severity. The statistical analysis reveals that factors such as lateral crosstown roads, low traffic volumes, higher percentages of heavy vehicles, wider lanes, the non-existence of road markings, and finally, infractions, increase the severity of the drivers’ injuries.

scholarly journals Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea

2020 ◽  
Vol 17 (7) ◽  
pp. 2358 ◽  
Author(s):  
Seung-Hoon Park ◽  
Min-Kyung Bae
Keyword(s):  
Land Use ◽  
Injury Severity ◽  
Binary Logistic Regression ◽  
Vehicle Crashes ◽  
Pedestrian Injury ◽  
Moving Vehicles ◽  
Pedestrian Injuries ◽  
Serious Injury ◽  
Pedestrian Crashes ◽  
Age Range

Pedestrian-vehicle crashes can result in serious injury to pedestrians, who are exposed to danger when in close proximity to moving vehicles. Furthermore, these injuries can be considerably serious and even lead to death in a manner that varies depending on the pedestrian’s age. This is because the pedestrian’s physical characteristics and behaviors, particularly in relation to roads with moving vehicles, differ depending on the pedestrian’s age. This study examines the determinants of pedestrian injury severity by pedestrian age using binary logistic regression. Factors in the built environment, such as road characteristics and land use of the places where pedestrian crashes occurred, were considered, as were the accident characteristics of the pedestrians and drivers. The analysis determined that the accident characteristics of drivers and pedestrians are more influential in pedestrian-vehicle crashes than the factors of the built environmental characteristics. However, there are substantial differences in injury severity relative to the pedestrian’s age. Young pedestrians (aged under 20 years old) are more likely to suffer serious injury in school zones; however, no association between silver zones and injury severity is found for elderly pedestrians. For people in the age range of 20–39 years old, the severity of pedestrian injuries is lower in areas with more crosswalks and speed cameras. People in the age range of 40–64 years old are more likely to be injured in areas with more neighborhood streets and industrial land use. Elderly pedestrians are likely to suffer fatal injuries in areas with more traffic signals. This study finds that there are differences in the factors of pedestrian injury severity according to the age of pedestrians. Therefore, it is suggested that concrete and efficient policies related to pedestrian age are required to improve pedestrian safety and reduce pedestrian-vehicle crashes.

scholarly journals Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach

2020 ◽  
Vol 17 (11) ◽  
pp. 4111
Author(s):  
Ali J. Ghandour ◽  
Huda Hammoud ◽  
Samar Al-Hajj
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Outcome Variable ◽  
Contributing Factors ◽  
Road Crashes ◽  
Factors Associated ◽  
Ensemble Machine Learning

Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning classifier structured from sequential minimal optimization and decision trees to identify risk factors contributing to fatal road injuries. The model was constructed, trained, tested, and validated using the Lebanese Road Accidents Platform (LRAP) database of 8482 road crash incidents, with fatality occurrence as the outcome variable. A sensitivity analysis was conducted to examine the influence of multiple factors on fatality occurrence. Seven out of the nine selected independent variables were significantly associated with fatality occurrence, namely, crash type, injury severity, spatial cluster-ID, and crash time (hour). Evidence gained from the model data analysis will be adopted by policymakers and key stakeholders to gain insights into major contributing factors associated with fatal road crashes and to translate knowledge into safety programs and enhanced road policies.

Exploring Vehicle–Pedestrian Crash Severity Factors on the Basis of In-Car Black Box Recording Data

2017 ◽  
Vol 2659 (1) ◽  
pp. 148-154 ◽  
Author(s):  
Tai-Jin Song ◽  
Jaehyun (Jason) So ◽  
Jisun Lee ◽  
Billy M. Williams
Keyword(s):  
Injury Severity ◽  
Video Recording ◽  
Black Box ◽  
Video Data ◽  
Crash Severity ◽  
Vehicle Speed ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Severity Of Injury ◽  
Pedestrian Crashes

This study investigated the main factors affecting the severity of injury to pedestrians in taxi–pedestrian crashes on urban arterial roads. Video data recorded by an in-car black box were used. Because the video data provided direct crash observation, they were more reliable than the crash data, and video images and speed profiles retrieved from the black box were advantageous for safety studies. For analysis of the black box data, this study defined new explanatory variables that affected injury severity; these variables could not have been identified by the conventional method, which was based on crash reports. A multiple-indicator and multiple-cause model was used to investigate the relationship between the explanatory variables and injury severity. A total of 484 taxi–pedestrian crash scenes over 2 years was used for the multivariate analysis in the city of Incheon, South Korea. The crash characteristics most strongly associated with increased crash severity were failure by the pedestrian to watch for approaching vehicles, jaywalking by the pedestrian, the pedestrian being elderly, excessive vehicle speed, failure by the driver to immediately stop, limited driver vision, and nighttime. This study emphasized the potential of individualized black box video recording data for crash severity analysis and investigation of the causal factors of crashes.

scholarly journals Pengaruh Gaya Hidup Terhadap Keputusan Pembelian Dan Kepuasan Konsumen Sepeda Motor Kawasaki D-Tracker 150 Di Kota Dumai

2020 ◽  
Vol 8 (1) ◽  
pp. 54-68
Author(s):  
Fajri Mubarak Natsir ◽  
Zulkarnain ◽  
Alvi Furwanti Alwie
Keyword(s):  
Customer Satisfaction ◽  
Path Analysis ◽  
Indirect Effect ◽  
Indirect Effects ◽  
Consumer Satisfaction ◽  
Sampling Method ◽  
Sampling Technique ◽  
Direct And Indirect Effects ◽  
Equal Opportunities ◽  
Purchasing Decisions

This study aims to see and know the direct and indirect effects of lifestyle on purchasing decisions and consumer satisfaction. The population in this study were 500 respondents from Dumai City who bought and used a Kawasaki D-Tracker 150 motorcycle, using Path Analysis. In this study the sampling method uses the Probability Sampling Technique, which is a sampling technique that provides equal opportunities for elements of the population to be selected as sample members. In this study the authors set a sample of the criteria of respondents, namely age 17 years and above. Samples taken in this study used the Slovin formula. The results in this study that lifestyle has a positive and significant effect on consumer purchasing decisions. Lifestyle and purchasing decisions have a positive and significant effect on customer satisfaction. There is an indirect effect of Lifestyle on Consumer Satisfaction through Decisions

scholarly journals CORPORATE SOCIAL RESPONSIBILITY TERHADAP MANAJEMEN LABA DAN KINERJA PERUSAHAAN

2020 ◽  
Vol 12 (2) ◽  
pp. 52-59
Author(s):  
Devi Dwi Rahmawardani ◽  
Muslichah Muslichah
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Earnings Management ◽  
Path Analysis ◽  
Indirect Effects ◽  
Sampling Method ◽  
Company Performance ◽  
Direct And Indirect Effects ◽  
Purposive Sampling ◽  
Corporate Social

This study aims to analyze the direct and indirect effects of Corporate Social Responsibility (CSR) on company performance through earnings management. The objects in this study are companies incorporated in LQ45 in the 2016-2018 period. Samples were taken using a purposive sampling method. The data of this study were analyzed using path analysis. The results showed four important findings: (1) the influence of CSR on company performance is positive and significant, (2) CSR has a negative and significant effect on earnings management, (3) the effect of earnings management on company performance is not significant (4) earnings management cannot mediate the effect of CSR on company performance.

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