An Estimation Method of Road Traffic GHG Emissions in Planning Year Based on Road Traffic Planning and Design Indicators in Counties

2019 ◽  
Author(s):  
Jing Gan ◽  
Xipeng Xu ◽  
Cheng Peng ◽  
Qiao jun Xiang
Keyword(s):  
Road Traffic ◽  
Ghg Emissions ◽  
Estimation Method ◽  
Traffic Planning ◽  
Planning And Design

UC-Win/Road Simulation Systems Application to Domestic Simulation of Road Traffic

2014 ◽  
Vol 505-506 ◽  
pp. 1219-1224
Author(s):  
Yun Han Li ◽  
Chang Qing Zheng ◽  
Chun Fu Shao ◽  
Han Deng
Keyword(s):  
Environmental Assessment ◽  
Traffic Simulation ◽  
Road Traffic ◽  
Traffic Planning ◽  
Simulation Research ◽  
Planning And Design ◽  
The Future ◽  
Simulation Systems

In recent years, a promising software which is called UC-win/road has been playing a major role in Chinese traffic simulation research. It is mainly applied in traffic planning and design, road and landscape simulation, and transportation environmental assessment. In this article, firstly, a brief description of the software will be introduced. Secondly, the possible problems which might be generated in road traffic simulation will be given. Finally, one case study will be shown in detail and the future of the software in China will be prospected.

scholarly journals STOCHASTIC CARBON EMISSION ESTIMATION METHOD FOR CONSTRUCTION OPERATION

2016 ◽  
Vol 23 (1) ◽  
pp. 137-149 ◽  
Author(s):  
Chang-Yong YI ◽  
Han-Seong GWAK ◽  
Dong-Eun LEE
Keyword(s):  
Carbon Emission ◽  
Performance Metrics ◽  
Ghg Emissions ◽  
Estimation Method ◽  
Operating Conditions ◽  
Analysis Tool ◽  
Micro Scale ◽  
Work Tasks ◽  
Emission Estimation ◽  
Construction Operation

Low carbon construction is an important operation management goal because greenhouse gas (GHG) reduc­tion has become a global concern. Major construction resources that contribute GHG, such as equipment and labour, are being targeted to achieve this goal. The GHG emissions produced by the resources vary with their operating conditions. It is commendable to provide a statistical GHG emission estimation method that models the transitory nature of resource states at micro-scale of construction operations. This paper proposes a computational method called Stochastic Carbon Emission Estimation (SCE2) that measures the variability of GHG emissions. It creates construction operation models consisting of atomic work tasks, utilizes hourly equipment fuel consumption and hourly labourer respiratory rates that change according to their operating conditions classified into five categories, and identifies an optimal resource combi­nation by trading off eco-economic performance metrics such as the amount of GHG emissions, operation completion time, operation completion cost, and productivity. The study is of value to researchers because SCE2 fill in a gap to eco-economic operation modelling and analysis tool which considers operating conditions at micro-scale of construction operation having many stochastic work tasks. This study is also relevance to practitioners because it allows project man­agers to achieve eco-economic goals while honouring predefined constraints associated with time and cost.

scholarly journals Behavioural changes in urban mobility in Barcelona due to the COVID-19 pandemic and its impact on air pollution and greenhouse gas emissions

2021 ◽  
Author(s):  
Corinna Peters
Keyword(s):  
Air Pollution ◽  
Greenhouse Gas ◽  
Public Transport ◽  
Road Traffic ◽  
Ghg Emissions ◽  
Urban Transport ◽  
Policy Implications ◽  
Transport Sector ◽  
Urban Mobility ◽  
The City

This study assesses changes in mobility behaviour in the City of Barcelona due the COVID‐19pandemic and its impact on air pollution and GHG emissions. Urban transport is an important sourceof global greenhouse gas (GHG) emissions. Improving urban mobility patterns is therefore crucial formitigating climate change. This study combines quantitative survey data and official governmentdata with in‐depth interviews with public administration officials of the City. Data illustrates thatBarcelona has experienced an unprecedented reduction in mobility during the lockdown (a 90%drop) and mobility remained at comparatively low levels throughout the year 2020. Most remarkableis the decrease in the use of public transport in 2020 compared to pre‐pandemic levels, whereas roadtraffic has decreased to a lesser extent and cycling surged at times to levels up to 60% higher thanpre‐pandemic levels. These changes in mobility have led to a radical and historic reduction in airpollution, with NO2 and PM10 concentration complying with WHO guidelines in 2020. Reductions inGHG emissions for Barcelona’s transport sector are estimated at almost 250.000 t CO2eq in 2020 (7%of the City’s overall annual emissions). The study derives policy implications aimed at achieving along‐term shift towards climate‐friendlier, low‐emission transport in Barcelona, namely how torecover lost demand in public transport and seize the opportunity that the crisis brings for reform byfurther reducing road traffic and establishing a 'cycling culture' in Barcelona, as already achieved inother European cities.

Optimization of Urban Traffic Distribution Path Under Quick Response Demand

2018 ◽  
Vol 43 (1) ◽  
pp. 108-112
Author(s):  
F Xiong ◽  
P S Gong ◽  
Z Q Peng ◽  
J F Fan
Keyword(s):  
Motor Vehicle ◽  
Rapid Development ◽  
Three Dimensional ◽  
Fast Response ◽  
Urban Traffic ◽  
Quick Response ◽  
Traffic Planning ◽  
Planning And Design ◽  
Traffic Distribution ◽  
Planning Project

Under the background of the rapid development of e-commerce and information network, the demand for urban distribution is also changing; especially customers' demand for fast delivery of products is increasing. Based on this, the optimization of urban traffic distribution path was studied under the fast response demand. In this paper, the importance and theoretical basis of the design of urban traffic planning under rapid response demand were expounded; then, the urban traffic distribution path planning was designed, and the layout principle of urban traffic roads, the division of road levels and the planning and design of motor vehicle roads were analyzed; through the planning project of the traffic distribution path in a city, analysis of the planning on roadways, three-dimensional traffic paths was achieved.

scholarly journals Estimation Method of Nonresident Vehicle Fleet Inflow Influencing Road Traffic Safety in Megalopolis

2017 ◽  
Vol 20 ◽  
pp. 751-755 ◽  
Author(s):  
Mikhail Malinovsky ◽  
Alexey Solntsev ◽  
Anastasia Juravleva ◽  
Slavomir Makovski
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Estimation Method ◽  
Road Traffic Safety ◽  
Vehicle Fleet

Safety Urban Planning and Design Based on Disaster Prevention, Crime Prevention and Psychological Safety

2019 ◽  
Vol 44 (3) ◽  
pp. 84-87
Author(s):  
Jinke Yang
Keyword(s):  
Traffic Safety ◽  
Fire Safety ◽  
Public Safety ◽  
Road Traffic ◽  
Living Environment ◽  
Space Environment ◽  
Residential Areas ◽  
The Public ◽  
Planning And Design ◽  
Urban Planning And Design

In order to ensure the public safety of residential areas, starting with the urban public safety of Xi'an, the construction environment of defense safety, fire safety and traffic safety, and the public safety environment of residential areas are investigated. According to the characteristics of housing in Xi'an planned economy era and market economy era, the existing situation is analyzed from the aspects of overall planning layout, road traffic space, building monomer, public activity space, greening space, and lighting facilities. Based on the analysis results, the principles of planning and design of public safety space environment in Xi'an residential areas are put forward. The planning and design methods of residential space environment are discussed and studied in detail from the aspects of residential defense safety, fire safety, and traffic safety, so as to provide reference for the planning and design of urban residential safety and to create a safe, healthy and harmonious living environment for residents.

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 Urban-Scale Evaluation of Cool Pavement Impacts on the Urban Heat Island Effect and Climate Change

2021 ◽  
Author(s):  
Hessam Azarijafari ◽  
Jeremy Gregory ◽  
Randolph Kirchain
Keyword(s):  
Radiative Forcing ◽  
Energy Demand ◽  
Energy Savings ◽  
Road Traffic ◽  
Ghg Emissions ◽  
Incident Radiation ◽  
Humid Climate ◽  
Context Sensitive ◽  
Island Effect ◽  
Air Temperatures

We implemented a context-sensitive and prospective framework to assess the global warming potential (GWP) impacts of cool pavement strategies on specific roads for different cities. The approach incorporates several interconnections among different elements of the built environment, such as buildings and urban road segments, as well as the transportation fleet, using specific building and pavement information from an urban area. We show that increasing pavement albedo lowers urban air temperatures but can adversely affect the building energy demand in the areas with high incident radiation exposure. The heating energy savings and the radiative forcing effect improve the GWP savings in a cold and humid climate condition. The total GWP saving intensity is sensitive to the city morphology and road traffic. Our probabilistic results show that cool pavement strategies can offset 1.0-3.0% and 0.7-6.0% of the total GHG emissions of the US cities Boston and Phoenix, respectively, for a 50-year analysis period. The worldwide range of savings can be as large as 5.0 - 44.7 Gt CO2eq. A paradigm shift in pavement strategy selection is required in most of the neighborhoods.

Towards Smart Traffic Planning by Traffic Simulation on Microscopic Level

2021 ◽  
Vol 11 (1) ◽  
pp. 1-17
Author(s):  
Simona Šinko ◽  
Roman Gumzej
Keyword(s):  
Smart City ◽  
Ad Hoc ◽  
Traffic Simulation ◽  
Road Traffic ◽  
Urban Mobility ◽  
Traffic Planning ◽  
Micro Level ◽  
Smart Traffic ◽  
The City ◽  
Multiple Scenarios

In this paper the consequences of road closures considering the introduction of a smart city solution, namely traffic simulation on micro level, are analyzed. The use-case comes from the city of Maribor in Slovenia with about 100 thousand inhabitants. To perform the analyses, the open source road traffic simulation package SUMO (simulation of urban mobility) has been employed to analyze the effects of the introduction of traffic regulations in real environment. Using it by experts in a plan-do-check-act loop, multiple scenarios with lesser impact of traffic regulations, as opposed to ad-hoc scenarios usually employed (e.g., for road works, events, etc.), can be considered and the best one chosen, leading to a smart city solution.

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