230.548 People
Costescu, Dorinela
in Cooperation with on an Cooperation-Score of 37%
Topics
- automobile
- traffic congestion
- public transit
- road
- case study
- highway traffic
- highway transportation
- bus
- mobility system
- feeding stuff
- urban mobility
- intermodal transportation
- civil engineering
- subway
- built environment
- modal split
- bus route
- bus line
- financing
- city planning
- urban transit
- economy of scale
- line planning
- need for mobility
- operating costs
- regional planning
- assessment
- infrastructure
- costs
- investment
- contaminant
- bicycle
- data
- urban transportation
- traffic
- highway safety
- intersection
- risk assessment
- crash data
- crash analysis
- binomial distribution
- urban road
- commodity
- railroad train
- scheduling
- city logistics
- intermodal terminal
- show 17 more
Publications
- 2022Model for Bus Line Planning in an Intermodal Urban Transport Network
- 2019Including negative externalities during transport infrastructure construction in assessment of investment projectscitations
- 2016ACIDIFYING EMISSIONS INCREASING DUE TO ROAD TRAFFIC CONGESTION
- 2016The use of the bicycle compatibility index in identifying gaps and deficiencies in bicycle networkscitations
- 2016Analysis of Crashes at Intersections in Bucharest
- 2014EFFECTS OF FACILITY LOCATION ON URBAN ROAD TRAFFIC
- 2013Influence of the freight transnational rail liner service on the train scheduling in case of major corridors
- 2012On the evaluation of urban logistics intermodal terminal projectscitations
Places of action
document
Analysis of Crashes at Intersections in Bucharest
Abstract
Road crashes involve important social and economic consequences and therefore crash analysis and traffic risk represented the topic of many studies. Better understanding of factors that influence the likelihood of crash occurrence could lead to appropriate measures to road safety enhancement. The main objective of this paper is to identify the relationships (i.e., crash-frequency estimation model) between crash frequency and contributing factors related to road infrastructure, traffic and demographic characteristics. The study is implemented for Bucharest, based on crash data over 5 years (2008–2012). The first part of the paper presents the analysis on counted crashes at intersections. The second part describes crash-frequency estimation models developed for different types of intersection, based on negative binomial distribution. The developed models will be useful tools in urban traffic risk assessment at planning phase. In this way, several urban planning alternatives could be analysed and evaluated before important urban and transport infrastructure investment, with negative impact on road safety, are made.
Topics
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