Gradient effect of road transportation on economic development in different geomorphic regions

The economic benefits of transport infrastructure investment have been widely accepted.However,the varying influence of road transport development across vertical space has rarely been discussed.Taking Sichuan province in China as case study area where the landform is diverse and complex,administrative counties were categorized into 4 main types:plain counties,hill counties,mountain counties,and plateau counties.Using statistical data during 2006-2014,theperformanceofeconomic development and transport construction level in the four types of counties are discussed.Subsequently,the heterogeneous effect of each grade road on economy was calculated by local regression model(GWR).The results indicate that plain counties largely surpassed the other geomorphic counties in economic development level,while the gradient gap among them was on the decline.Similarly,distribution of transport infrastructure presented a decreasing trend from the low plain counties to high plateau counties.Regional imbalances were mainly reflected in the County road and Village road.Regarding the changes of regional gaps,National&Provincial roads and County roads were constantly expanding,whereas the disparity of Village road was slowly narrowing over time.Particularly noteworthy was the non-stationary economic influence of traffic factors across vertical gradients.On average,National&Provincial roads generated higher benefits in the high elevation regions than the lowlands.In contrast,County road and Village road were found to be more effective in promoting economic development in plains.With regard to local estimates of traffic factors,coefficients in mountain counties exhibited larger fluctuation ranges than other geomorphic units.The conclusions provide a basis for government decisionmaking in a more reasonable construction arrangement of road facilities and sustainable economic development.

Road transport and urban air quality in China

This paper takes a comprehensive view at transportationrelated air pollution problems and solution options. While the transport infrastructure in major Chinese cities is briefed, the environmental impacts of transport activities on urban air quality are discussed in detail. Not only the contribution of automotive emissions to the CO, NMHC and NO\-x pollution in urban areas is reviewed, but also concerns over the carcinogenic emissions, lead deposition and noise are presented. From a lifecycle view point, the impacts of motorway construction, as well as those from scrapped cars, car batteries and old tires in China have been taken into account. In the second part of this paper, the current technical efforts to curb vehicular emissions are evaluated. The performances of unleaded petrol, domestic catalytic converters, and fuel injection systems have been assessed. Options of cleaner alternative fuels and “green” vehicles are discussed, with both the life-cycle impacts and economic feasibility emphasized. Policy and management aspects for effective pollution control are tackled. In particular, speculations about potential economic incentives and legislative measures for vehicular pollution control are presented.

Options for Greenhouse Gas Mitigation Strategies for Road Transportation in Oman

Oman is a fast developing country where about 76% of registered vehicles as of 2014 were private cars with approximately one private car per household. The growth of automobile is faster than the growth of human population. From 2000-2009, Omani population has increased by 2% per annum while automobile usage in the country has increased by 4.3%. The leadership of Sultanate of Oman has pledged to cut down greenhouse (GHG) emissions by 2% as a commitment to United Nation Framework Convention on Climate Change (UNFCCC). Due to very limited public transportation system, traffic congestion and emission from vehicles are high during working days since majority of individuals uses private vehicles as only means of transport. This paper seeks to combine mitigation measures adopted in selected Middle East and North Africa (MENA) and UNFCCC to suggest cost-effective measures suitable in reducing GHG emissions from road transportation sector in Oman. These measures will specifically reduce vehicular emissions during working days where car occupancy rates are very low in an economically sustainable way.

Energy Conservation in China’s Road Transport: Policy Analysis

Energy consumption for transport purposes has increased rapidly in China over the past decade. China’s transport industry has undergone remarkable developments in energy conservation through structural, technological and managerial measures. The paper analyzes energy-conservation policies and measures related to road transport in China. The paper also identifies constraints for these policies and measures. The transport management authorities face a series of difficulties associated with methods, costs, public awareness, and management systems. Suggestions for improvement are also offered, including promotion of energy-efficient private vehicles, advances in business vehicle energy conservation, exploiting the energy potential of urban traffic and infrastructure development for energy-efficient clean vehicles.

ComplexTrans-Global Rail-Road Transportation System Economical and Clustered Individual and Individualised Public Transport also Prevents the Spread of Covid 19

Land transport can no longer meet the requirements.European transport can be described by these words−crowded motorways and cities,dangerous emissions,ubiquitous traffic accidents,delays,expensive railways.Solutions are being sought to transfer a large part of passengers and especially freight transport to(high-speed)rail,and efforts are moving towards electromobility,car-sharing,5G-connectivity,autonomous driving,MaaS(Mobility as a Service)-coordinated transport or hyperloop-type solutions.However,all these solutions have additional challenges and limitations.Solutions are not being searched where they really exist-in the mutual adaptation of road and rail vehicles and their deep cooperation.The ComplexTrans project shows that simply adapting the dimensions and functions of road and rail vehicles can eliminate(or at least significantly reduce)all the problems of existing land transport.The main features of the ComplexTrans system are sufficient parking spaces,reduction of urban and non-urban congestion,electric vehicles with unlimited range and cheaper than standard cars,cheaper and more accessible battery charging,“autonomous ride”,solving the overlap between passenger and freight rail transport and making it self-financing,transferring intercity freight transport to rail,replacing part of continental air transport and many others.The cost-effective and clustered individual transport and individualised public transport of the ComplexTrans system also bring very significant reductions in the risk of transmission of covid-19 and other contagious diseases during transport.

Systematic literature review on the applications,impacts,and public perceptions of autonomous vehicles in road transportation system

As the advancement of driverless technology,together with information and communication technology moved at a fast pace,autonomous vehicles have attracted great attention from both industries and academic sectors during the past decades.It is evident that this emerging technology has great potential to improve the pedestrian safety on roads,mitigate traffic congestion,increase fuel efficiency,and reduce greenhouse gas emissions.However,there is limited systematic research into the applications and public perceptions of autonomous vehicles in road transportation.The purpose of this systematic literature review is to synthesise and analyse existing research on the applications,implications,and public perceptions of autonomous vehicles in road transportation system.It is found that autonomous vehicles are the future of road transportation and that the negative perception of humans is rapidly changing towards autonomous vehicles.Moreover,to fully deploy autonomous vehicles in a road transportation system,the existing road transportation infrastructure needs significant improvement.This systematic literature review contributes to the comprehensive knowledge of autonomous vehicles and will assist transportation researchers and urban planners to understand the fundamental and conceptual framework of autonomous vehicle technologies in road transportation systems.

Assessment of the macro-economic impacts of low-carbon road transportation policies in Chongqing,China

Reductions in the transportation sector's carbon dioxide emissions are increasingly of global concern.As one of the first low-carbon pilot and carbon trading pilot cities,and as one of the largest automobile production bases in China,Chongqing has multiple low-carbon transportation policies that are coupled.In this study,three policy scenarios are set,including:1)improving the fuel economy of newly sold gasoline passenger cars to 5.71 per 100 km by 2020,2)promoting pure electric private cars to increase the share to 7% of private car sales by 2020,and 3)the policy mix scenario of the above two policies.Simulations are undertaken with the Chinese Academy of Sciences general equilibrium(CAS-GE)model,a type of computable GE model,to assess the macro-economic impact and the industrial impact of the three policy scenarios.Through the policy impact mechanism analysis and data-mapping process,the micro-economic impact analysis results,including costs and fuel savings,for the two policies from the bottom-up model are taken as the shock variables and inputs for the CAS-GE model.The results show that:1)the two policies will both have a slightly negative impact(-0.09% and -0.30%)on Chongqing's GDP in 2020;2)the employment rate will decrease by 0.12% and 0.47%,but the inflation rate will be restrained to a certain extent(-0.21% and -0.17%);and 3)the complementarity of the mixed policy can weaken the negative impact of the two policies when implemented separately.The mixed policy will reduce the GDP slightly by 0.37%,compared with the cumulative effect of the two policies implemented separately,resulting in cost-effective synergies at the macroeconomic impact level;and 4)the COVID-19 pandemic in 2020 has an uncertain impact on the results.The method and results can provide a reference for the formulation and adjustment of low-carbon transportation policies in other large cities.

Impacts of reducing air pollutants and CO_(2) emissions in urban road transport through 2035 in Chongqing, China

The road transport sector in megacities is confronted with pressing local air pollution and carbon dioxide(CO_(2))control issues.To determine effective policy instruments for saving energy and the co-control of air pollutants and CO_(2),several mainstream measures were examined and compared in Chongqing's road transport sector from 2017 to 2035.An integration assessment framework was developed by combining the Long-range Energy Alternatives Planning(LEAP)system and a set of quantitative methods for evaluating the co-benefits of emission reductions(including the air pollutant equivalent(APeq),cocontrol coordinate system,and pollutant reduction cross-elasticity(Elsa/b)).Results showed that the shifting transportation modes scenario presented the most significant potential for energy-saving and emission reductions,reducing energy use by 30.9%and air pollutants and CO_(2) emissions by approximately 27e32%compared with the business as usual(BAU)scenario in 2035.The improving energy efficiency scenario also provided significant co-benefits for reducing air pollutants and CO_(2) emissions.Nevertheless,the promoting alternative fuel scenario may increase fine particulate matter(PM2.5)emissions by 2.2%compared to BAU in 2035 under the cleanness of regional electricity in 2017.Our findings suggest that the shifting transportation modes were effective measures to reduce air pollutants and CO_(2) in the short term synergistically,and highlighted the importance of cleaner electricity generation to develop electric vehicles in the medium and long term.

Direct energy rebound effect for road transportation in China

The enhancement of energy efficiency stands as the principal avenue for attaining energy conservation and emissions reduction objectives within the realm of road transportation.Nevertheless,it is imperative to acknowledge that these objectives may,in part or in entirety,be offset by the phenomenon known as the energy rebound effect(ERE).To quantify the long-term EREs and short-term EREs specific to China’s road transportation,this study employed panel cointegration and panel error correction models,accounting for asymmetric price effects.The findings reveal the following:The long-term EREs observed in road passenger transportation and road freight transportation range from 13%to 25%and 14%to 48%,respectively;in contrast,the short-term EREs in road passenger transportation and road freight transportation span from 36%to 41%and 3.9%to 32%,respectively.It is noteworthy that the EREs associated with road passenger transportation and road freight transportation represent a partial rebound effect,falling short of reaching the magnitude of a counterproductive backfire effect.This leads to the inference that the upsurge in energy consumption within the road transportation sector cannot be solely attributed to advancements in energy efficiency.Instead,various factors,including income levels,the scale of commodity trade,and industrial structure,exert more substantial facilitating influences.Furthermore,the escalation of fuel prices fails to dampen the demand for energy services,whether in the domain of road passenger transportation or road freight transportation.In light of these conclusions,recommendations are proffered for the formulation of energy efficiency policies pertinent to road transportation.

Political and Economic Analysis of the South Silk Road： from a Transportation Safety Perspective

With a long history, the South Silk Road has been and will continue to be an important corridor of economic, political, cultural and religious exchange between Southwest China and Southeast Asia, South Asia, the Middle East, West Asia and Europe. The transportation corridor established by the South Silk Road has both important strategic significance and value for China's transportation safety, and the potential to bring huge political and economic benefits to our country. However, all kinds of challenges and threats need to be dealt with in order for it to achieve strategic value and play the role of a transportation corridor, thereby ensuring China's strategic security.

Discussion on Road Traffic Problems and “Public Transport Priority” Policy in the Macao Peninsula

The roads on the Macao Peninsula are famous for their short, fast, and small features. At the same time, due to the protection of historical and cultural sites, the road network system is mostly based on the planning and design of the previous road network system. Although the planning of the contemporary road network system is quite unique, it has not been considered to the contemporary transporting needs of the citizens of Macao. At the same time, the complexity of the road network makes zonings unobvious functional and mixes urban functions in the region. Therefore, through field surveys, the relevant data of the Macao Transport Bureau (DSAT) is combined to find out the current problems of the road traffic on the Macao Peninsula and analyze the strategy of optimizing the “public transport priority” public transportation prove system. At Last, regarding the citizen as the core and find out the relationship between passengers and the public transportation system to explore the future development direction of the road traffic planning and design of the Macao Peninsula will become the main direction of this study.

Atmosphere of Accidents along the Douala-Yaounde National Road in Cameroon: Hoofmarks, Drivers, Challenges and Proactive Options

Road transport and safety is a thorny problem in the world today following the occurrence, recrudescence and outcomes of accidents in our society. These accidents are a public health hazard and vector of underdevelopment in developing countries amongst which is Cameroon. According to the World Health Organisation, road accidents ranked 3rd in position among the leading causes of mortality in the world and caused approximately 1.2 million deaths with 50 million people injured worldwide. The frequency of accidents along National Road 3 linking Douala (the economic hub of the CEMAC region) and Yaounde (the political Capital of Cameroon) remains a thorny problem. This is because 50 % of accidents in the Southern part of Cameroon occur along this stretch of the triangle of death necessitating sustainable strategies to effectively curb the situation. Efforts both structural and non-structural have been put in place over decades by the Cameroon government, civil society organisations, Non-Governmental Organisations, local communities, and other actors to contain the situation without success. This is because the measures often target road users, the state of vehicles and repair of existing roads. Along National Road 3, the poor state of the road in combination with other risk factors has been identified as prime factors that sustain accidents. This paper argues that the frequency of accidents is high, impacts on man and property enormous and the solutions to solve the problem ineffective. The methodology used for data production exploits primary and secondary sources of data from works on road transport in Cameroon, Africa and the world to assess the dynamics, outcomes, challenges and options for road accidents control on the study site. These sources integrate field surveys, administration of questionnaires, literature review and grey data sources for their findings. The results show that until recent on some roads little attention has been paid on proactive solutions visible in other countries to combat road accidents. These are the creation of multi lanes to reduce contact, investment on alternative transport modes and road modernisation to decongest existing roads. How this innovation to curb road carnage redresses the problem in question is also a focus of this paper.

A Review of Road Accidents Detection through Wireless Technology—5G, MIMO and Internet of Things

Road transport is been used for moving people and all kinds of goods throughout the world. However, it is one mode of transportation that is prone to accidents and it faces a plethora of never-ending challenges, such as the frequent loss of lives and valuables when accident occurs. The best course of action to handle these issues is to set up an autonomous incident detection system using wireless communication, 5G technologies and the Internet of Things. IoT is a seamless technology that increases the connectivity between humans and machines. It is web-based, and improves communication between vehicle to vehicle, vehicle to infrastructures, transfer of data and information to predict incident occurrences through various networks and frameworks such as eCall, OneM2M and integration of mobile broadband. Additionally, internet of things is being adopted for public safety;for instance, it can speed up first responders’ response times to situations by displaying the best routes to a scene of an accident. The rapid development of 5G is happening in parallel with developments of internet of things (IoT), artificial intelligence (AI), and smart platforms for novel applications such as mission-critical communications. 5G is a new generation technology that operates on the Ultra High Spectrum Band UHSB. It is an innovation that uses the pedestrians-vehicle-road-cloud, and the communication between vehicle locations and temperature of high-quality connection. It is essential for intelligent transport systems because it allows for information sharing, prediction of incidences as safety is the primary concern of road transport. This review examines accident detection through 5G technology, integrated mobile broadband, and multiple inputs multiple outputs (MIMO) wireless system. Finally, we conclude by examining recent technology, challenges, present and future research trends.

Analysis of the Relationship Between Railway and Highway Transportation and China's Economic Development

China has a vast land area and frequent interconnections between various regions.China's transportation industry is faced with tremendous pressure.This article combines China’s railway and highway transportation conditions to predict China’s economic development,uses stepwise regression to screen explanatory variables,and finally determines railway passenger turnover,road freight volume and passenger car ownership as the explanatory variables,and GDP as the dependent variable,and also analyzes China’s economic development by establish ing a multiple regression model.

Assessment of the Environmental Impact of Road Infrastructure in Countries: A Study of the Namibia Scenario

The assessment of the impact of road infrastructure in the developing countries using the Namibian case scenario was done based on the contemporary challenges of road use. This study employed a qualitative technique using a sample size of thirty (30) selected by the simple random sampling technique. The use of charts, tables and frequencies were done to explain certain trends in the study. A well-structured, valid and reliable questionnaire instrument was designed for the study based on the following research questions;what are the impacts of road transport on the Namibian environment and what are the possible measures that may be used to reduce environmental impact of road transport on the Namibian environment? Twenty five respondents (83%) agreed that road transfer has drastically improved development and 26 (87%) respondents also accepted that it can improve Namibian economy. Similarly, it has also improved communication and technology greatly according to 27 (90%) respondents. To add more credence to the impact of road transport on the economy, all the 30 (100%) of the respondents agreed that road transport aids mobility within Namibia while 27 (90%) respondents supported the opinion that road transport aids in job search, 3 (10%) disagreed. The result shows that car owners service are potential threats which can affect pollution levels as was supported by 97% to cause environmental pollution as well as 100% when combined with energy consumption. Similarly, all the respondents indicated the potential of increased accident rate from poor road safety. Felling of trees poses great danger (97% response) due to the degradation of the environment. Most respondents (77% and 83%) agreed that road transport can lead to land encroachment and loss of aesthetic and farming. This research has shown that eventually death rate may increase from mere ill-health to from the degraded ecosystem, 24 respondents (80%). So many policies to protect the environment but the practical measures are to encourage impact assessment studies for road projects, land use control and human safety precautions on road use.

Seismic damage to road networks subjected to earthquakes in Nepal,2015

The Gorkha earthquake in Nepal led to many landslides and severe damage to the transportation infrastructure. After careful comparison of the aerial photographs and satellite images before and after the earthquake, partially verified by a field study, more than 2,064 landslides and many road failures were observed. Many bridges, especially steel-truss and suspension bridges, suffered little damage from inertia loads during the earthquake, but were severely damaged due to rockfalls. Potential geological hazards hindered the delivery of supplies in mountainous areas, and road closures impeded the overall speed of rehabilitation.

Short-Term Traffic Flow Prediction Based on Road Network Topology

Accurate short-term traffic flow prediction plays a crucial role in intelligent transportation system (ITS), because it can assist both traffic authorities and individual travelers make better decisions. Previous researches mostly focus on shallow traffic prediction models, which performances were unsatisfying since short-term traffic flow exhibits the characteristics of high nonlinearity, complexity and chaos. Taking the spatial and temporal correlations into consideration, a new traffic flow prediction method is proposed with the basis on the road network topology and gated recurrent unit (GRU). This method can help researchers without professional traffic knowledge extracting generic traffic flow features effectively and efficiently. Experiments are conducted by using real traffic flow data collected from the Caltrans Performance Measurement System (PEMS) database in San Diego and Oakland from June 15, 2017 to September 27, 2017. The results demonstrate that our method outperforms other traditional approaches in terms of mean absolute percentage error (MAPE), symmetric mean absolute percentage error (SMAPE) and root mean square error (RMSE).

TRUCK TRANSPORTING SYSTEM

The paper was a truck transporting system that based on system engineering theory and driver, truck-and-train, road and transporting environment were essential factors. It analyzed andstudied nine subsystems consisted of the tfour tactors, ensured running safety, high efficieney and lowconsumption of transporting truck and increased using time of truck and road.

Process-Functional Model of Transportation Mix Concrete

The paper proposes a process-functional model of transportation mix concrete, which is a structured description of a means of transportation technology mix concrete road at the level of the production process. Range of activities related to the transportation of concrete mixtures is presented in the form of hierarchically nested processes that are coordinated on the basis of general systems theory. The model is described in a strict sequence: process chain→process step→process link, and all built technological chains consist of indivisible units.

Assessment of the Contribution of Road Traffic to Greenhouse Emissions: A Case of an Algerian City

Rapid urbanisation brings about increase in air pollution. These emissions are generally linked to the production of energy, to industrial activities and to transport in the densely inhabited areas. Estimating the pollutants quantities released in the air is an important stage in the evaluation of air quality. However, the problem of air pollution in urban areas is a problem in all Algerian cities. Similar to all Algerian big cities, the city of Batna has become a major urban area with an ever increasing fleet of motor vehicles most of which are practically old ones. This state of affairs increases the demand in fuel consumption and undeniably intensifies polluting emissions. As the situation goes, it has become the utmost urgency to wonder about a possible support that may be given to this sector in order to evaluate how air quality is managed in a durable way. The main objective of this study is to assess the quantity of CO2 pollutant known as the most significant greenhouse gas emission from traffic. The approach used is mainly based on a number of assumptions, which allows us to find the amount of 192 g/km/day CO2 released into the urban atmosphere of the city of Batna.