Document Detail

Safety models incorporating graph theory based transit indicators.
MedLine Citation:
PMID:  22831497     Owner:  NLM     Status:  Publisher    
There is a considerable need for tools to enable the evaluation of the safety of transit networks at the planning stage. One interesting approach for the planning of public transportation systems is the study of networks. Network techniques involve the analysis of systems by viewing them as a graph composed of a set of vertices (nodes) and edges (links). Once the transport system is visualized as a graph, various network properties can be evaluated based on the relationships between the network elements. Several indicators can be calculated including connectivity, coverage, directness and complexity, among others. The main objective of this study is to investigate the relationship between network-based transit indicators and safety. The study develops macro-level collision prediction models that explicitly incorporate transit physical and operational elements and transit network indicators as explanatory variables. Several macro-level (zonal) collision prediction models were developed using a generalized linear regression technique, assuming a negative binomial error structure. The models were grouped into four main themes: transit infrastructure, transit network topology, transit route design, and transit performance and operations. The safety models showed that collisions were significantly associated with transit network properties such as: connectivity, coverage, overlapping degree and the Local Index of Transit Availability. As well, the models showed a significant relationship between collisions and some transit physical and operational attributes such as the number of routes, frequency of routes, bus density, length of bus and 3+ priority lanes.
Liliana Quintero; Tarek Sayed; Mohamed M Wahba
Related Documents :
20728767 - Proceedings of the modeling evidence in hpv pre-conference workshop in malmö, sweden, m...
15854867 - The cognitive behavioural model for eating disorders: a direct evaluation in children a...
23967937 - Neural network predictions of acoustical parameters in multi-purpose performance halls.
18630657 - Both freud and hoffman are right: anxious-aggressive and empathic dimensions of guilt.
15935167 - Synchronization of oscillations of proliferation of keratinocytes in psoriatic skin by ...
23179067 - Karl pearson and eugenics: personal opinions and scientific rigor.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-23
Journal Detail:
Title:  Accident; analysis and prevention     Volume:  -     ISSN:  1879-2057     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1254476     Medline TA:  Accid Anal Prev     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ltd. All rights reserved.
Department of Civil Engineering, University of British Columbia, 2002-6250 Applied Science Lane, Vancouver, BC, Canada V6T 1Z4.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Using naturalistic driving data to identify variables associated with infrequent, occasional, and co...
Next Document:  Small sample sizes, overextraction, and unrealistic expectations: A commentary on M. Mattsson.