scholarly journals MANIFESTATION OF OPTIMAL ROUTE ALIGNMENT SELECTION OF RURAL ROAD USING GIS AND LEAST COST PATH (LCP) MODEL WITH ENGINEERING AND ENVIRONMENTAL SUITABILITY PERSPECTIVE: A CASE STUDY IN NEPAL

2020 ◽  
Vol 5 (2) ◽  
pp. 56-63
Author(s):  
Rakesh Sunari Magar ◽  
Pradeep Kumar Shrestha ◽  
Prabin Kayastha
Keyword(s):  
Road Networks ◽  
Environmental Parameters ◽  
Geographical Information ◽  
Least Cost Path ◽  
The Road ◽  
Planning And Design ◽  
Design Coordination ◽  
Road Development ◽  
Optimum Route ◽  
Selection Of

For the economic growth and sustainable development of any country, the road networks play a pivotal role. Hence, the selection of best route alignment for the road networks becomes even more significant. The Geographical Information System (GIS) integration with the Least Cost Path (LCP) model is used to determine the optimum route to address sustainable road development. In this study, Dupcheswor Rural Municipality, Nuwakot, Nepal and part of Langtang National Park was taken as a study area; and engineering and environmental parameters were selected to create a cost layer. Using the Least Cost Path (LCP) model, fifteen routes were generated in the GIS. All the generated fifteen routes were compared based on cost, and the optimum route was selected based on the least cost. The optimum route in this study was derived from the hybrid theme of engineering and environmental perspectives. This study suggests further research can be done to improve preliminary to detailed road alignment planning and design coordination by considering other factors.

scholarly journals Faster and Better Nested Dissection Orders for Customizable Contraction Hierarchies

Algorithms ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 196
Author(s):  
Lars Gottesbüren ◽  
Michael Hamann ◽  
Tim Niklas Uhl ◽  
Dorothea Wagner
Keyword(s):  
Shared Memory ◽  
Graph Partitioning ◽  
Road Network ◽  
Road Networks ◽  
Geographical Information ◽  
Nested Dissection ◽  
High Quality ◽  
The Road ◽  
Inertial Flow ◽  
Path Queries

Graph partitioning has many applications. We consider the acceleration of shortest path queries in road networks using Customizable Contraction Hierarchies (CCH). It is based on computing a nested dissection order by recursively dividing the road network into parts. Recently, with FlowCutter and Inertial Flow, two flow-based graph bipartitioning algorithms have been proposed for road networks. While FlowCutter achieves high-quality results and thus fast query times, it is rather slow. Inertial Flow is particularly fast due to the use of geographical information while still achieving decent query times. We combine the techniques of both algorithms to achieve more than six times faster preprocessing times than FlowCutter and even faster queries on the Europe road network. We show that, using 16 cores of a shared-memory machine, this preprocessing needs four minutes.

scholarly journals Automatic Pipeline Route Design with Multi-Criteria Evaluation Based on Least-Cost Path Analysis and Line-Based Cartographic Simplification: A Case Study of the Mus Project in Turkey

2019 ◽  
Vol 8 (4) ◽  
pp. 173 ◽  
Author(s):  
Ali Durmaz ◽  
Erdinç Ünal ◽  
Cevdet Aydın
Keyword(s):  
Natural Gas ◽  
Traditional Method ◽  
Gas Pipeline ◽  
Geographical Information ◽  
Least Cost Path ◽  
Natural Gas Pipeline ◽  
Route Design ◽  
Pipeline Route ◽  
Optimum Route ◽  
Automatic Pipeline

The design of a natural gas pipeline route is a very important stage in Natural Gas Transmission Pipeline projects. It is a very complicated process requiring many different criteria for various areas to be evaluated simultaneously. These criteria include geographical, social, economic, and environmental aspects with their obstacles. In the classical approach, the optimum route design is usually determined manually with gathering the spatial references for suitable places and obstructions from the ground. This traditional method is not effective because it does not consider all the factors that affect the route of the pipeline. Today, the powerful tools incorporated in Geographical Information Systems (GIS) can be used to automatically determine the optimum route. An automatic pipeline route finder algorithm can calculate the best convenient route avoiding geographic and topological obstructs and selecting suitable places depending on their weights. In this study, an automatic natural gas pipeline design study was carried out in the east western region of Turkey. At the end of the study, an automatic natural gas pipeline route was determined using GIS and a least cost path algorithm, and an alternative study was conducted using a traditional method. In addition, a cartographic line simplification process with a point removal algorithm was used to eliminate the high vertex points and a simplified route was determined. The results were compared with the results of a finished Muş natural gas project constructed by The Turkish Petroleum Pipeline Corporation (BOTAŞ) and the negative and positive effects were evaluated. It was concluded that the use of GIS capabilities and the lowest cost path distance algorithm resulted in a 20% reduction of the cost through the simplification.

scholarly journals Examining the Road Networks and Locations of Firefighting Teams by Using GIS Techniques

2020 ◽  
pp. 173-180
Author(s):  
Taş İnanç ◽  
Akay Abdullah E.
Keyword(s):  
Response Time ◽  
Forest Fires ◽  
Road Network ◽  
Road Networks ◽  
Travel Speed ◽  
Effective Response ◽  
Critical Response ◽  
The Road ◽  
Gis Techniques ◽  
Optimum Route

For effective response to forest fires, the period of time necessary for the firefighting team to reach the fire site should not exceed the critical response time, where the fire is more likely to be taken under control. For this reason, the optimum route that allows the team to reach the fire site by a fire truck within the shortest time possible should be determined. Computer-aided methods such as the road network analysis are widely used in the solution of such transportation problems that require the shortest path analysis. In this study, the locations of the existing road networks and firefighting team were examined using GIS techniques in order to determine the optimum route that will provide the promptest access to the fire site. The study was carried out in the Adana Forest Enterprise Directorate, where first degree fire-sensitive forests are located. There are three firefighting teams located in the boundaries of the study area. The sites in the study area where previously occurred forest fires (15), which burned 1 ha or more forest areas, were evaluated as potential fire sites. The analysis results showed that 64,12% of the forest areas in the study area was reached by the firefighting teams within 20 minutes, which is the critical response time for first degree fire sensitive forests. It was found that the teams could reach 12 potential fire sites within the critical response time. This result revealed the necessity to establish new firefighting teams in the study area. In addition, it is thought that improving the road network density in the study area by building new roads or increasing the truck travel speed by improving the conditions of existing roads will help to solve the problem.

scholarly journals Road development in Asia: Assessing the range-wide risks to tigers

2020 ◽  
Vol 6 (18) ◽  
pp. eaaz9619 ◽  
Author(s):  
Neil Carter ◽  
Alexander Killion ◽  
Tara Easter ◽  
Jodi Brandt ◽  
Adam Ford
Keyword(s):  
Protected Areas ◽  
Road Networks ◽  
Decision Makers ◽  
Panthera Tigris ◽  
Belt And Road Initiative ◽  
Investment Projects ◽  
The Road ◽  
Road Development ◽  
Belt And Road ◽  
Tiger Conservation

Roads are proliferating worldwide at an unprecedented rate, with potentially severe impacts on wildlife. We calculated the extent and potential impacts of road networks across the 1,160,000-km2, 13-country range of the globally endangered tiger (Panthera tigris)—a conservation umbrella species. We found that roads were pervasive, totaling 134,000 km across tiger conservation landscapes (TCLs), even in tiger priority sites and protected areas. Approximately 43% of the area where tiger breeding occurs and 57% of the area in TCLs fell within the road-effect zone. Consequently, current road networks may be decreasing tiger and prey abundances by more than 20%. Nearly 24,000 km of new roads will be built in TCLs by 2050, stimulated through major investment projects such as China’s Belt and Road Initiative. Given that roads will be a pervasive challenge to tiger recovery in the future, we urge decision-makers to make sustainable road development a top priority.

scholarly journals The use of cement concrete pavements for roads, depending on climatic conditions

2019 ◽  
Vol 13 (3) ◽  
pp. 235-240
Author(s):  
Iryna Solonenko
Keyword(s):  
European Union ◽  
Statistical Models ◽  
Road Network ◽  
The European Union ◽  
Rational Selection ◽  
Cement Concrete ◽  
The Road ◽  
Road Pavement ◽  
Operational Characteristics ◽  
Selection Of

The development of road network infrastructure is an important component of the economic development of the European Union. Updating of the road network contributes to the integration of the economies of countries into a coherent whole. The road network provides the free movement of citizens, the movement of goods and the effective implementation of various services. The increase in the length of the road network leads to an increase in the financial and material costs necessary to ensure its maintenance and repair. One of the ways to reduce costs is by strengthening the physic-mechanical and operational characteristics of the pavement due to the widespread use of cement concrete. The quality of the pavement of cement concrete depends largely on the rational selection of its composition. This allows a significant increase in the durability of road pavement. The purpose of the research was: the development of recommendations for the rational selection of the composition of the road pavement material of cement concrete, aimed at upgrading longevity, and taking into account its frost resistance grade. According to the goal, the following tasks were developed: the analyses of the climatic zones in which the road network of the European Union is located; the development of a research plan, a selection of the response function and influence factors; the study of physico-mechanical and operational characteristics of the researched material of road pavement; on the basis of the obtained data, the calculation of the complex of experimental-statistical models, which describe the physico-mechanical and operational characteristics of the road pavement material; on the basis of experimental statistical models, a method was proposed for selecting the rational compositions of the cement concrete pavement road material depending on the conditions of its application. The results presented in the article can be used in engineering and scientific practice for the selection of road pavement from cement concrete for highways.

scholarly journals Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method

2019 ◽  
Vol 16 (7) ◽  
pp. 1166 ◽  
Author(s):  
Tianpei Tang ◽  
Senlai Zhu ◽  
Yuntao Guo ◽  
Xizhao Zhou ◽  
Yang Cao
Keyword(s):  
Bayesian Network ◽  
Low Cost ◽  
Road Networks ◽  
Access Point ◽  
Safety Risk ◽  
Crash Data ◽  
Risk Levels ◽  
The Road ◽  
Run Off ◽  
Point Density

Evaluating the safety risk of rural roadsides is critical for achieving reasonable allocation of a limited budget and avoiding excessive installation of safety facilities. To assess the safety risk of rural roadsides when the crash data are unavailable or missing, this study proposed a Bayesian Network (BN) method that uses the experts’ judgments on the conditional probability of different safety risk factors to evaluate the safety risk of rural roadsides. Eight factors were considered, including seven factors identified in the literature and a new factor named access point density. To validate the effectiveness of the proposed method, a case study was conducted using 19.42 km long road networks in the rural area of Nantong, China. By comparing the results of the proposed method and run-off-road (ROR) crash data from 2015–2016 in the study area, the road segments with higher safety risk levels identified by the proposed method were found to be statistically significantly correlated with higher crash severity based on the crash data. In addition, by comparing the respective results evaluated by eight factors and seven factors (a new factor removed), we also found that access point density significantly contributed to the safety risk of rural roadsides. These results show that the proposed method can be considered as a low-cost solution to evaluating the safety risk of rural roadsides with relatively high accuracy, especially for areas with large rural road networks and incomplete ROR crash data due to budget limitation, human errors, negligence, or inconsistent crash recordings.

scholarly journals Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li
Keyword(s):  
Road Network ◽  
Road Networks ◽  
Sudden Onset ◽  
The Road ◽  
Bee Colony ◽  
Proposed Model ◽  
Effectiveness And Efficiency ◽  
In Transit ◽  
Emergency Supply

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.

scholarly journals Capacity in municipalities: Infrastructures, maintenance debts and ways of overcoming a run-to-failure mentality

2021 ◽  
pp. 026909422110304
Author(s):  
Jens Alm ◽  
Alexander Paulsson ◽  
Robert Jonsson
Keyword(s):  
Economies Of Scale ◽  
Heavy Traffic ◽  
Road Networks ◽  
Large Degree ◽  
Welfare States ◽  
The Road ◽  
Technical Capacity ◽  
Multidimensional Concept ◽  
Sewage Systems ◽  
Road Segments

There is a growing maintenance debt of ageing and critical infrastructures in many municipalities in European welfare states. In this article, we use the multidimensional concept of local capacity as a point of departure to analyse how and in what ways Swedish municipalities work with the routine maintenance of infrastructures, including municipal road networks as well as water and sewage systems. For the road networks, maintenance is generally outsourced to contractors and there is also a large degree of tolerance for various standards on different road segments within and between the municipalities. Less used road segments are not as prioritised as those with heavy traffic. For the water and sewage systems, in-house technical capacity is needed as differences in water quality are not tolerated. Economies of scale mean that in-house capacity is translated into the creation of inter-municipal bodies. As different forms of capacities tend to reinforce each other, municipal capacity builds up over time in circular movements. These results add knowledge to current research by pointing to the ways municipalities are overcoming a run-to-failure mentality by building capacity to pay off the infrastructural maintenance debt.

scholarly journals Risk and Environmental Factors Associated with the Presence of Canine Parvovirus Type 2 in Diarrheic Dogs from Thessaly, Central Greece

Pathogens ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 590
Author(s):  
Maria Kantere ◽  
Labrini V. Athanasiou ◽  
Alexios Giannakopoulos ◽  
Vassilis Skampardonis ◽  
Marina Sofia ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Clinical Symptoms ◽  
Gastrointestinal Disease ◽  
Environmental Parameters ◽  
Canine Parvovirus ◽  
Geographical Information ◽  
Factors Associated ◽  
Working Dogs ◽  
Canine Parvovirus Type 2

Canine parvovirus type 2 (CPV-2) primarily infects dogs, which are the main host reservoir, causing severe gastrointestinal disease associated with immunosuppression. The present study was conducted in Thessaly, Greece and aimed to identify risk and environmental factors associated with CPV-2 infection in diarrheic dogs. Fecal samples were collected from 116 dogs presenting diarrhea and were tested by polymerase chain reaction (PCR) for the presence of CPV-2 DNA. Supplementary data regarding clinical symptoms, individual features, management factors and medical history were also gathered for each animal during clinical evaluation. Sixty-eight diarrheic dogs were found to be positive for the virus DNA in their feces. Statistical analysis revealed that CPV-2 DNA was less likely to be detected in senior dogs, while working dogs, namely hounds and shepherds, had higher odds to be positive for the virus. Livestock density and land uses, specifically the categories of discontinuous urban fabric and of human population density, were identified as significant environmental parameters associated with CPV-2 infection by using Geographical Information System (GIS) together with the Ecological Niche Model (ENM). This is the first description of the environmental variables associated with the presence of CPV-2 DNA in dogs’ feces in Greece.

scholarly journals Design of Optimal Rainfall Monitoring Network Using Radar and Road Networks

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 378
Author(s):  
Taeyong Kwon ◽  
Seongsim Yoon ◽  
Sanghoo Yoon
Keyword(s):  
Road Networks ◽  
Monitoring Network ◽  
Conditional Entropy ◽  
Radar Data ◽  
Disaster Risk ◽  
Water Levels ◽  
The Road ◽  
Dam Operation ◽  
A Site ◽  
High Degree

Uncertainty in the rainfall network can lead to mistakes in dam operation. Sudden increases in dam water levels due to rainfall uncertainty are a high disaster risk. In order to prevent these losses, it is necessary to configure an appropriate rainfall network that can effectively reflect the characteristics of the watershed. In this study, conditional entropy was used to calculate the uncertainty of the watershed using rainfall and radar data observed from 2018 to 2019 in the Goesan Dam and Hwacheon Dam watersheds. The results identified radar data suitable for the characteristics of the watershed and proposed a site for an additional rainfall gauge. It is also necessary to select the location of the additional rainfall gauged by limiting the points where smooth movement and installation, for example crossing national borders, are difficult. The proposed site emphasized accessibility and usability by leveraging road information and selecting a radar grid near the road. As a practice result, the uncertainty of precipitation in the Goesan and Hwacheon Dam watersheds could be decreased by 70.0% and 67.9%, respectively, when four and three additional gauge sites were installed without any restriction. When these were installed near to the road, with five and four additional gauge sites, the uncertainty in the Goesan Dam and Hwacheon Dam watersheds were reduced by up to 71.1%. Therefore, due to the high degree of uncertainty, it is necessary to measure precipitation. The operation of the rainfall gauge can provide a smooth site and configure an appropriate monitoring network.

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