The Road Network Density and Spatial Dependence Analysis Based on Basin Scale - A Case Study on Shiyang River Basin

2014 ◽  
Vol 505-506 ◽  
pp. 750-754
Author(s):  
Wei Wei ◽  
Pei Ji Shi ◽  
Jun Ju Zhou ◽  
Bin Bin Xie

Taking Shiyang River Basin as study area, Considering that the road net building is influenced by the industry, structure of resources, the road building policy, the highway net construction policies and the other transport patterns, so a concept of highway dependence-preference index is put forward, which is used to explain the variation between the actually obtained highway net densities and the values obtained by model calculation. The results show that:The density of road network in Shiyang River Basin is outward decay along the center of Jinchang and Wuwei City. The distribution density of road network is zonal shape from the south of Tianzhu county extending to the Jinchuan District, Jinchang City. Social developments of the Shiyang River Basin depend on the road network strongly, with two Counties/Districts in the super dependence or super preference situation, 28 towns in strong dependence or strong preference situation, which accounting for 26.67% of all townships in Shiyang River Basin. The medium dependence or medium preference situation is about 44 towns, which accounting for 41.9% of all counties in Shiyang River Basin. 24 countries/districts are in the less dependent or weak preference, and 7 countries/districts are in the weak dependent or weak preference situation. Besides, the study also found that the counties city center also formed basically a small group of road network, the region and part of key towns may become a potential area of the density of road network development in the future.

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Md. Shohel Reza Amin ◽  
Umma Tamima ◽  
Luis Amador Jimenez

This study demonstrates through a case study that detailed analyses, even after the construction of a project, are feasible using current technologies and available data. A case study of highway 25 is used to illustrate the method and verify the levels of air contaminants from additionally induced traffic during and after the construction of highway. Natural traffic growth was removed from the effect of observed gas emissions by comparing observed levels on other further locations in the same metropolitan area. This study estimates air pollution from the additional traffic during and after the construction of A-25 extension project. NO2 levels were spatially interpolated during peak and off-peak hour traffic and traffic density simulated on the road network for four scenarios. Comparing the four scenarios, it was found that levels of NO2 concentrations were reduced at neighbor areas due to less traffic during the construction period. Levels of NO2 after the construction were higher than those in 2008. The simulated traffic density for four scenarios revealed that traffic density was significantly increased on both arterial and access roads within the close vicinity of the extension project during and after its construction.


i-com ◽  
2017 ◽  
Vol 16 (3) ◽  
pp. 223-246 ◽  
Author(s):  
Jordi Tost ◽  
Frank Heidmann

AbstractWhen a hazard event strikes, the reachability of affected areas is a significant factor that can determine if the situation becomes a disaster. Decision makers have to react quickly while under stress to tasks that depend on the road network, such as management of relief operations, planning of evacuation routes, or food and first aid distribution. In this paper we present an approach for exploring and validating reachability of remote areas through visualization with an interactive tabletop and tablets. We propose a simple way to combine and visualize data from scientists and communities to provide insights into area reachability, as well as the likely impacts of future hazard events on access routes. Moreover, our interface introduces an approach to assess alternative accessibility options to isolated settlements by helicopter or off-road routes that builds on satellite data and interactive collaborative mapping. This set of visualization and interaction techniques facilitates the formation of risk scenarios for better planning, preparedness and response activities. We developed our research with a case study of landslide threat for an area in Colombia.


2018 ◽  
Vol 7 (2.1) ◽  
pp. 69 ◽  
Author(s):  
Tummala Bharat Kumar ◽  
Chukkapalli Jeswanth Chowdary

In India there is road network of 33 lakh kilometres of which nearly 65% of the cargo activity and 80% of traveller movement is on the road networks. National Highways constitute around 1.7% of the road network but carry about 40% of the aggregate road traffic. Number of vehicles has been increasing at a normal pace of 10.16% for every annum in the course of the most recent five years. Road safety audit is the formal methodology for getting accident potential and safety potential in the development of new road schemes and the schemes for the improvement and maintenance of the existing road facilities. Accident prevention and accident reduction are the two main strategies in the road safety. In this case study we analyse the NH-65 which is the major highway connecting VIJAYAWADA and HYDERABAD from the 270thKM to 247th KM. The highway carries considerable amount of traffic throughout the day and it has number of conflict points such as villages, industries. Detailed analysis of NH-65 will be carried out from the point of view of safety and geometric design aspects will be performed. This paper aims to identify deficiencies, improving design aspects, enhancing credibility of the roads.  


2016 ◽  
Vol 167 (5) ◽  
pp. 294-301
Author(s):  
Leo Bont

Optimal layout of a forest road network The road network is the backbone of forest management. When creating or redesigning a forest road network, one important question is how to shape the layout, this means to fix the spatial arrangement and the dimensioning standard of the roads. We consider two kinds of layout problems. First, new forest road network in an area without any such development yet, and second, redesign of existing road network for actual requirements. For each problem situation, we will present a method that allows to detect automatically the optimal road and harvesting layout. The method aims to identify a road network that concurrently minimizes the harvesting cost, the road network cost (construction and maintenance) and the hauling cost over the entire life cycle. Ecological issues can be considered as well. The method will be presented and discussed with the help of two case studies. The main benefit of the application of optimization tools consists in an objective-based planning, which allows to check and compare different scenarios and objectives within a short time. The responses coming from the case study regions were highly positive: practitioners suggest to make those methods a standard practice and to further develop the prototype to a user-friendly expert software.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.


2020 ◽  
pp. 002252662097950
Author(s):  
Fredrik Bertilsson

This article contributes to the research on the expansion of the Swedish post-war road network by illuminating the role of tourism in addition to political and industrial agendas. Specifically, it examines the “conceptual construction” of the Blue Highway, which currently stretches from the Atlantic Coast of Norway, traverses through Sweden and Finland, and enters into Russia. The focus is on Swedish governmental reports and national press between the 1950s and the 1970s. The article identifies three overlapping meanings attached to the Blue Highway: a political agenda of improving the relationships between the Nordic countries, industrial interests, and tourism. Political ambitions of Nordic community building were clearly pronounced at the onset of the project. Industrial actors depended on the road for the building of power plants and dams. The road became gradually more connected with the view of tourism as the motor of regional development.


2021 ◽  
Vol 43 (2) ◽  
pp. 262-278
Author(s):  
Ariane Dupont-Kieffer ◽  
Sylvie Rivot ◽  
Jean-Loup Madre

The golden age of road demand modeling began in the 1950s and flourished in the 1960s in the face of major road construction needs. These macro models, as well as the econometrics and the data to be processed, were provided mainly by engineers. A division of tasks can be observed between the engineers in charge of estimating the flows within the network and the transport economists in charge of managing these flows once they are on the road network. Yet the inability to explain their decision-making processes and individual drives gave some room to economists to introduce economic analysis, so as to better understand individual or collective decisions between transport alternatives. Economists, in particular Daniel McFadden, began to offer methods to improve the measure of utility linked to transport and to inform the engineering approach. This paper explores the challenges to the boundaries between economics and engineering in road demand analysis.


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