scholarly journals Analysis and comparison of several urban road transportation assignment models in emergency conditions

2003 ◽  
Author(s):  
M. Di Gangi ◽  
G. Musolino ◽  
F. Russo ◽  
P. Velona ◽  
A. Vitetta
Keyword(s):  
Road Transportation ◽  
Urban Road ◽  
Assignment Models

scholarly journals Impact analysis of two kinds of failure strategies in Beijing road transportation network

2018 ◽  
Vol 29 (01) ◽  
pp. 1850005
Author(s):  
Zundong Zhang ◽  
Xiaoyang Xu ◽  
Zhaoran Zhang ◽  
Huijuan Zhou
Keyword(s):  
Network Model ◽  
Transportation Network ◽  
Dynamic Network ◽  
Network Models ◽  
Global Network ◽  
Statistical Characteristics ◽  
Road Transportation ◽  
Road Infrastructure ◽  
Urban Road ◽  
Infrastructure Network

The Beijing road transportation network (BRTN), as a large-scale technological network, exhibits very complex and complicate features during daily periods. And it has been widely highlighted that how statistical characteristics (i.e. average path length and global network efficiency) change while the network evolves. In this paper, by using different modeling concepts, three kinds of network models of BRTN namely the abstract network model, the static network model with road mileage as weights and the dynamic network model with travel time as weights — are constructed, respectively, according to the topological data and the real detected flow data. The degree distribution of the three kinds of network models are analyzed, which proves that the urban road infrastructure network and the dynamic network behavior like scale-free networks. By analyzing and comparing the important statistical characteristics of three models under random attacks and intentional attacks, it shows that the urban road infrastructure network and the dynamic network of BRTN are both robust and vulnerable.

Estimating the safety performance of urban road transportation networks

2004 ◽  
Vol 36 (4) ◽  
pp. 609-620 ◽  
Author(s):  
Dominique Lord ◽  
Bhagwant N. Persaud
Keyword(s):  
Transportation Networks ◽  
Safety Performance ◽  
Road Transportation ◽  
Urban Road

Environmental-impacts of Urban Road Transportation in South-western States of Nigeria

2007 ◽  
Vol 7 (16) ◽  
pp. 2356-2360 ◽  
Author(s):  
B.A. Osuntogun . ◽  
C.A. Koku .
Keyword(s):  
Environmental Impacts ◽  
Road Transportation ◽  
Urban Road

scholarly journals A Prediction Method of GHG Emissions for Urban Road Transportation Planning and Its Applications

2020 ◽  
Vol 12 (24) ◽  
pp. 10251
Author(s):  
Jing Gan ◽  
Linheng Li ◽  
Qiaojun Xiang ◽  
Bin Ran
Keyword(s):  
Carbon Emissions ◽  
Transportation Planning ◽  
Road Traffic ◽  
Ghg Emissions ◽  
Prediction Method ◽  
Accurate Estimation ◽  
Low Carbon ◽  
Road Transportation ◽  
Urban Road ◽  
Carbon Control

The increasing vehicle usage has brought about a sharp increase in greenhouse gas (GHG) emissions of vehicles, which brings severe challenges to the sustainable development of road transportation in Chinese counties. Low-carbon transportation planning is an essential strategy for carbon control from the source of carbon emissions and is crucial to the full transition to a low-carbon future. For transportation planning designers, a quick and accurate estimation of carbon emissions under different transportation planning schemes is a prerequisite to determine the optimal low-carbon transportation development plan. To address this issue, a novel prediction method of hourly GHG emissions over the urban roads network was constructed in this paper. A case study was conducted in Changxing county, and the results indicate the effectiveness of our proposed method. Furthermore, we applied the same approach to 30 other counties in China to analyze the influencing factors of emissions from urban road networks in Chinese counties. The analysis results indicate that the urban road mileage and arterial road ratio are the two most important factors affecting road network GHG emissions in road traffic planning process. Moreover, the method was employed to derive peak hour emission coefficients that can be used to quickly estimate daily or annual GHG emissions. The peak hour emission of CO2, CH4, and N2O accounts for approximately 9–10%, 8.5–10.5%, 5.5–7.5% of daily emissions, respectively. It is expected that the findings from this study would be helpful for establishing effective carbon control strategies in the transportation planning stage to reduce road traffic GHG emissions in counties.

scholarly journals Scenario Analysis of Urban Road Transportation Energy Demand and GHG Emissions in China—A Case Study for Chongqing

2018 ◽  
Vol 10 (6) ◽  
pp. 2033 ◽  
Author(s):  
Xianchun Tan ◽  
Yuan Zeng ◽  
Baihe Gu ◽  
Yi Wang ◽  
Baoguang Xu
Keyword(s):  
Scenario Analysis ◽  
Energy Demand ◽  
Ghg Emissions ◽  
Road Transportation ◽  
Transportation Energy ◽  
Urban Road

scholarly journals Urban Road Transportation Externalities: Costs and Choice of Policy Instruments

2010 ◽  
Vol 26 (1) ◽  
pp. 162-191 ◽  
Author(s):  
G. R. Timilsina ◽  
H. B. Dulal
Keyword(s):  
Policy Instruments ◽  
Road Transportation ◽  
Urban Road ◽  
Transportation Externalities
Sign in / Sign up

Export Citation Format

Share Document