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Author: C P Eric Yau
Publisher: Open Dissertation Press
ISBN: 9781374674974
Category :
Languages : en
Pages :
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Book Description
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
Author: C P Eric Yau
Publisher: Open Dissertation Press
ISBN: 9781374674974
Category :
Languages : en
Pages :
Get Book Here
Book Description
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
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The negative social and economic results of traffic accidents are the most serious problems within the concept of traffic safety. Every year, unfortunately, a huge number of traffic accidents result in destructive losses. Especially, when the holiness of human life is concerned, traffic safety has an invaluable role for the traffic improvement strategies. In this manner, Turkey places one of the highest ranks regarding the growing rate and severity of traffic accidents that should be immediately taken under control. In this study, an innovative model that constructs a hybrid between the spatial and statistical analyses is developed in order to examine the importance of enhancing statistical analysis with georeferenced data and so location-based studies in traffic accident analysis. Meanwhile, the effects of road characteristic and environment are considered for exploring the integral role of roadway factor to the occurrence of accidents, and consequently for emphasizing easily applicable and controllable engineering safety measures. Because of the rare and random distribution of traffic accident data, logistic regression is used for the statistical part of the study in order to find the pairwise risk factors among the roadway and environmental parameters. After unifying these relative risk factors with the logic of Analytic Hierarchy Process, the finalized accident risk factors are attached to the digitized road characteristics map through Geographic Information Systems (GIS). The abilities of GIS in mapping, displaying and overlaying different data sets ensure to visualize high risked accident areas with their corresponding potential causal factors. The integration of statistical and spatial analyses is essential for developing appropriate and effective precautions in addition to its easily understandable, applicable and modifiable structure. Finally, the model is proven to be appropriate for both interpreting the existing traffic accident problem or potential futu.
Author: Atsuyuki Okabe
Publisher: John Wiley & Sons
ISBN: 1119967767
Category : Mathematics
Languages : en
Pages : 252
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Book Description
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.
Author: Becky P. Y. Loo
Publisher: CRC Press
ISBN: 1439874131
Category : Mathematics
Languages : en
Pages : 346
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Book Description
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
Author: National Research Council (U.S.). Transportation Research Board
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 148
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Book Description
Transportation Research Record contains the following papers: Method for identifying factors contributing to driver-injury severity in traffic crashes (Chen, WH and Jovanis, PP); Crash- and injury-outcome multipliers (Kim, K); Guidelines for identification of hazardous highway curves (Persaud, B, Retting, RA and Lyon, C); Tools to identify safety issues for a corridor safety-improvement program (Breyer, JP); Prediction of risk of wet-pavement accidents : fuzzy logic model (Xiao, J, Kulakowski, BT and El-Gindy, M); Analysis of accident-reduction factors on California state highways (Hanley, KE, Gibby, AR and Ferrara, T); Injury effects of rollovers and events sequence in single-vehicle crashes (Krull, KA, Khattack, AJ and Council, FM); Analytical modeling of driver-guidance schemes with flow variability considerations (Kaysi, I and Ail, NH); Evaluating the effectiveness of Norway's speak out! road safety campaign : The logic of causal inference in road safety evaluation studies (Elvik, R); Effect of speed, flow, and geometric characteristics on crash frequency for two-lane highways (Garber, NJ and Ehrhart, AA); Development of a relational accident database management system for Mexican federal roads (Mendoza, A, Uribe, A, Gil, GZ and Mayoral, E); Estimating traffic accident rates while accounting for traffic-volume estimation error : a Gibbs sampling approach (Davis, GA); Accident prediction models with and without trend : application of the generalized estimating equations procedure (Lord, D and Persaud, BN); Examination of methods that adjust observed traffic volumes on a network (Kikuchi, S, Miljkovic, D and van Zuylen, HJ); Day-to-day travel-time trends and travel-time prediction form loop-detector data (Kwon, JK, Coifman, B and Bickel, P); Heuristic vehicle classification using inductive signatures on freeways (Sun, C and Ritchie, SG).
Author: Marjorie Peden
Publisher: DIANE Publishing
ISBN: 1437904068
Category : Transportation
Languages : en
Pages : 67
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Book Description
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.
Author: Biswajeet Pradhan
Publisher: Springer
ISBN: 3030103749
Category : Technology & Engineering
Languages : en
Pages : 165
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Book Description
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.
Author: Shenjun Yao
Publisher: Open Dissertation Press
ISBN: 9781361315767
Category :
Languages : en
Pages :
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Book Description
This dissertation, "Advances in Spatial Analysis of Traffic Crashes: the Identification of Hazardous Road Locations" by Shenjun, Yao, 姚申君, 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: The identification of hazardous road locations is important to the improvement of road safety. However, there is still no consensus on the best method of identifying hazardous road locations. While traditional methods, such as the hot spot methodology, focus on the physical distances separating road crashes only, the hot zone methodology takes network contiguity into consideration and treats contiguous road segments as hazardous road locations. Compared with the hot spot method, hot zone methodology is a relatively new direction and there still remain a number of methodological issues in applying the method to the identification of hazardous road locations. Hence, this study aims to provide a GIS-based study on the identification of crash hot zones as hazardous road locations with both link-attribute and event-based approaches. It first explores the general procedures of the two approaches in identifying traffic crash hot zones, and then investigates the characteristics of the two approaches by conducting a range of sensitivity analysis on defining threshold value and crash intensity with both simulated and empirical data. The results suggest that it is better to use a dissolved road network instead of a raw-link-node road network. The segmentation length and the interval of reference points have great impacts on the identification of hot zones, and they are better defined as 100 meters considering the stabilities of the performance. While employing a numerical definition to identify hot zones is a simple and effort-saving approach, using the Monte Carlo method can avoid selection bias in choosing an appropriate number as the threshold value. If the two approaches are compared, it is observed that the link-attribute approach is more likely to cause false negative problem and the event-based approach is prone to false positive problem around road junctions. No matter which method is used, the link-attribute approach requires less computer time in identifying crash hot zones. When a range of environmental variables have to be taken into consideration, the link-attribute approach is superior to the event-based approach in that it is easier for the link-attribute approach to incorporate environmental variables with statistical models. By investigating the hot zone methodology, this research is expected to enrich the theoretical knowledge of the identification of hazardous road locations and to practically provide policy-makers with more information on identifying road hazards. Further research efforts have to be dedicated to the ranking of hot zones and the investigation of false positive and false negative problems. DOI: 10.5353/th_b5043444 Subjects: Traffic accidents - Statistical methods
Author: David O'Sullivan
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 440
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Book Description
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.
Author: John S. Miller
Publisher: DIANE Publishing
ISBN: 1437904130
Category : Technology & Engineering
Languages : en
Pages : 43
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Book Description
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.
