Road Traffic Collisions Analysis Using GIS Technology

Road Traffic Collisions Analysis Using GIS Technology
Author: Kristine Simonyan
Publisher:
Total Pages: 106
Release: 2017
Genre:
ISBN:
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Response time is an important factor in determining the quality of service provided by Emergency Medical Services (EMS). The focus of "Road Traffic Collisions Analysis Using GIS Technology" is an analysis of local road traffic collisions and fire stations to reveal areas with potential need for response time improvement. This study aimed to access response time from fire stations to collision hot spots, and generates strategies to improve the response time providing services in a minimum amount of time. ESRI Network Analyst tools were used to find the minimum average travel cost values from existing and potential fire stations to collisions within high collision areas. In an attempt to understand the spatial distribution of road traffic collisions, ESRI Spatial Statistics tools were utilized to analyze the patterns and provide a visual representation of statistically significant clustering of road traffic collisions. These methods can aid in finding an ideal fire station location to improve the response time in the study area.

Spatial Analysis Methods of Road Traffic Collisions

Spatial Analysis Methods of Road Traffic Collisions
Author: Becky P. Y. Loo
Publisher: CRC Press
Total Pages: 346
Release: 2015-09-21
Genre: Mathematics
ISBN: 1439874131
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Examine the Prevalence and Geography of Road CollisionsSpatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the bo

Developing a GIS Safety Analysis System

Developing a GIS Safety Analysis System
Author: Aline Aylo
Publisher:
Total Pages: 128
Release: 2010
Genre: ArcGIS.
ISBN:
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GIS has become one of the most used programs for various project and research areas. It has been widely used in a variety of applications for planning, presenting, and analyzing data and results. Its application in transportation safety however, has been limited. ArcGIS provides the option of creating new tools by programming with different languages such as Visual Basic. Most of the available GIS-based traffic safety tools developed so far perform simple traffic crash analyses by querying, analyzing crash data and ranking of high crash locations by using crash data only. The objectives of this study are three-fold: (1) to review and identify the most important features and methods in safety analysis; (2) to develop a safety analysis application using ArcGIS and Visual Basic; (3) to use the application in a case study. The safety application developed is able to query traffic crashes by accident characteristics which are always reported and included in any traffic accident database such as crash severity, road condition, collision type, light condition, etc. The application also performs analysis both on a micro level and on a macro level. Users have the choice of studying an intersection or a roadway segment as well as a group of intersections or roadway segments that share common characteristics or traits. Eight different safety analysis methods were programmed, which ranged from simple methods such as the crash frequency to the more advanced methods such as the empirical Bayes (EB). A before-after study tool is added and it is able to perform a naïve before-after study and an empirical Bayes study. Finally an output tool is added to the application so the results can be exported to other formats or maps. The application is tested with a case study using Montgomery County as a study area.

World Report on Road Traffic Injury Prevention

World Report on Road Traffic Injury Prevention
Author: Marjorie Peden
Publisher: DIANE Publishing
Total Pages: 67
Release: 2008-09
Genre: Transportation
ISBN: 1437904068
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Every day thousands of people are killed and injured on our roads. Millions of people each year will spend long weeks in the hospital after severe crashes and many will never be able to live, work or play as they used to do. Current efforts to address road safety are minimal in comparison to this growing human suffering. This report presents a comprehensive overview of what is known about the magnitude, risk factors and impact of road traffic injuries, and about ways to prevent and lessen the impact of road crashes. Over 100 experts, from all continents and different sectors -- including transport, engineering, health, police, education and civil society -- have worked to produce the report. Charts and tables.

Using GIS and Statistical Models for Traffic Accidents Analysis

Using GIS and Statistical Models for Traffic Accidents Analysis
Author: C P Eric Yau
Publisher: Open Dissertation Press
Total Pages:
Release: 2017-01-27
Genre:
ISBN: 9781374674974
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This dissertation, "Using GIS and Statistical Models for Traffic Accidents Analysis: a Case Study of the Tuen Mun Town Centre" by C P, Eric, Yau, 丘之鵬, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of dissertation entitled Using GIS and Statistical Models for Traffic Accidents Analysis - A Case Study of the Tuen Mun Town Centre Submitted by Eric C. P. Yau For the degree of Master of Arts in Transport Policy and Planning at The University of Hong Kong in December 2006 Using the data from the Traffic Accident Data System (TRADS) of the Transport Department of Hong Kong, this study focused on finding the factors which had significant relationship with the occurrence of traffic accident. The study area is at the Tuen Mun town centre and the targeted dataset were acquired from the period of January to December of 2004. This study has used the Geographic Information System (GIS) and statistical modelling system to analyse the dataset. The independent variables being explored in the study included AADT, road gradient, speed limit, curvature and adjacency to the intersection of road. The dataset was being testified its severity of injury to the relationships of each independent variable. Statistical models like Chi-square test, Poisson regression model and the negative binomial model were employed to analyse the dataset. Modelled result have shown that speed limit was statistically significant to the occurrence of fatal and seriously injured accidents, while for those slightly injured accidents none of the variables were found to have direct influence to traffic accident. This study has laid its footprint on integrating GIS with statistical model for analysis of traffic accident. The findings and the designed prototype of this study can be useful for transport professionals to improve their planning as well as preventive measures. DOI: 10.5353/th_b3763911 Subjects: Traffic accidents - Statistical methods Geographic information systems Traffic accidents - China - Hong Kong Traffic accidents - Tuen Mun

What Value May Geographic Information Systems Add to the Art of Identifying Crash Countermeasures?

What Value May Geographic Information Systems Add to the Art of Identifying Crash Countermeasures?
Author: John S. Miller
Publisher: DIANE Publishing
Total Pages: 43
Release: 2008-09
Genre: Technology & Engineering
ISBN: 1437904130
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Geographic Info. Systems (GIS) can be employed to relate, organize, and analyze roadway and crash data, thereby facilitating crash countermeasure identification and evaluation. GIS cannot, however, replace the role of the local analyst as a problem solver who needs to interpret results and recommend engineering, enforcement, or educ. improvements. Using the PC-based Micro Traffic Records System (MTRS), a software packaged employed in Virginia that records crashes at either a specific intersection or between 2 cross streets, it was possible to place 82% of the MTRS crash locations within a GIS. Without crashes that were demarcated at ¿private property¿ locations, the placement rate climbs to 94% for intersection locations. Illus.

Spatial Analysis Along Networks

Spatial Analysis Along Networks
Author: Atsuyuki Okabe
Publisher: John Wiley & Sons
Total Pages: 252
Release: 2012-07-02
Genre: Mathematics
ISBN: 1119967767
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In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.

Geographic Information Analysis

Geographic Information Analysis
Author: David O'Sullivan
Publisher:
Total Pages: 440
Release: 2010-03-29
Genre: Mathematics
ISBN:
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Clear, up-to-date coverage of methods for analyzing geographical information in a GIS context Geographic Information Analysis, Second Edition is fully updated to keep pace with the most recent developments of spatial analysis in a geographic information systems (GIS) environment. Still focusing on the universal aspects of this science, this revised edition includes new coverage on geovisualization and mapping as well as recent developments using local statistics. Building on the fundamentals, this book explores such key concepts as spatial processes, point patterns, and autocorrelation in area data, as well as in continuous fields. Also addressed are methods for combining maps and performing computationally intensive analysis. New chapters tackle mapping, geovisualization, and local statistics, including the Moran Scatterplot and Geographically Weighted Regression (GWR). An appendix provides a primer on linear algebra using matrices. Complete with chapter objectives, summaries, "thought exercises," explanatory diagrams, and a chapter-by-chapter bibliography, Geographic Information Analysis is a practical book for students, as well as a valuable resource for researchers and professionals in the industry.

Laser Scanning Systems in Highway and Safety Assessment

Laser Scanning Systems in Highway and Safety Assessment
Author: Biswajeet Pradhan
Publisher: Springer
Total Pages: 165
Release: 2019-04-02
Genre: Technology & Engineering
ISBN: 3030103749
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This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.

GIS and Crime Mapping

GIS and Crime Mapping
Author: Spencer Chainey
Publisher: John Wiley & Sons
Total Pages: 282
Release: 2013-04-26
Genre: Science
ISBN: 1118685199
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The growing potential of GIS for supporting policing and crime reduction is now being recognised by a broader community. GIS can be employed at different levels to support operational policing, tactical crime mapping, detection, and wider-ranging strategic analyses. With the use of GIS for crime mapping increasing, this book provides a definitive reference. GIS and Crime Mapping provides essential information and reference material to support readers in developing and implementing crime mapping. Relevant case studies help demonstrate the key principles, concepts and applications of crime mapping. This book combines the topics of theoretical principles, GIS, analytical techniques, data processing solutions, information sharing, problem-solving approaches, map design, and organisational structures for using crime mapping for policing and crime reduction. Delivered in an accessible style, topics are covered in a manner that underpins crime mapping use in the three broad areas of operations, tactics and strategy. Provides a complete start-to-finish coverage of crime mapping, including theory, scientific methodologies, analysis techniques and design principles. Includes a comprehensive presentation of crime mapping applications for operational, tactical and strategic purposes. Includes global case studies and examples to demonstrate good practice. Co-authored by Spencer Chainey, a leading researcher and consultant on GIS and crime mapping, and Jerry Ratcliffe, a renowned professor and former police officer. This book is essential reading for crime analysts and other professionals working in intelligence roles in law enforcement or crime reduction, at the local, regional and national government levels. It is also an excellent reference for undergraduate and Masters students taking courses in GIS, Geomatics, Crime Mapping, Crime Science, Criminal Justice and Criminology.