Building and Analyzing the Robustness of Interdependent Transportation Network for Hazmat Transporting Network and the Connected Traffic Network of Hazmat Transport

Author(s):  
Peng Hu ◽  
Bin Shuai ◽  
Zhenyao Wu
PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250962
Author(s):  
Yulong Chen ◽  
Zhizhu Lai ◽  
Zheng Wang ◽  
Dongyang Yang ◽  
Leying Wu

Many studies have considered the location of rural waste transfer stations, but most have omitted the impact of transportation network conditions. Traffic accessibility must be considered in optimizing the location of rural waste transfer stations, which is an important difference from the location of rural waste transfer stations. On the basis of previous studies, this study will consider the impact of traffic network on the optimization locations of waste transfer station in the rural areas. The objective of this study was to ensure the minimum Euclidean distance between the waste transfer station and the population center is the maximum, minimize the garbage transportation cost of each population center, construction costs for waste transfer stations, construction and upgrade costs for roads on a traffic network. A multi-objective facility location-network design model and an improved multi-objective simulated annealing algorithm was used to solve the problem. A detailed practical case study was used to illustrate the application of the proposed mathematical model. The results show that transportation network plays an important role in facility location optimization, and the improvement of traffic network conditions can greatly reduce waste transportation costs.


2014 ◽  
Vol 1030-1032 ◽  
pp. 2126-2129
Author(s):  
Ye Zhang ◽  
Zhen Zhou Yuan

After new transportation projects putting into use,traffic volume within transportation network will inevitably transfer between different routes,this urges us to conduct transfer traffic volume forecast and project evaluation.The study forecast overall traffic volume of Weihai city in the future based on the platform of TransCAD,firstly establish traffic network GIS map,calibrate network attributes,and ascertain many parameters of traffic distribution model.Apply OD estimation to get reasonable OD matrix of Weihai city.Then use the transfer traffic volume forecast model based on prospect theory to forecast and analysis the transfer traffic volume from south bus station to north bus station.It confirmed the necessity of constructing north bus station.


2021 ◽  
Vol 13 (4) ◽  
pp. 1862
Author(s):  
Liang Zhang ◽  
Xubing Zhang ◽  
Shenggu Yuan ◽  
Kai Wang

In recent years, with the rapid development of urban transportation network in China, many problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under the call of sustainable development, it is of great significance to evaluate the economic, social, and ecological (ESE) impact of transportation network in BTH urban agglomeration for promoting the sustainable development of transportation ESE in BTH urban agglomeration. In this paper, 12 indicators in the field of transportation are selected to build the evaluation index system of ESE effects of transportation network in BTH urban agglomeration. By using entropy weight TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model and the Jenks natural breaks classification method, the ESE impacts of transportation network in 13 cities of BTH from 2013 to 2017 are analyzed from the temporal and spatial dimensions. The research shows that: (1) From 2013 to 2017, the economic impact degree of traffic network shows an annual fluctuation trend, the social impact degree increases year by year, and the ecological impact degree decreases year by year; (2) For the cities of BTH, the ESE impact assessment results of transportation network from 2013 to 2017 can be divided into seven clusters. Except Handan City, the ESE impact assessment categories of other cities’ transportation network have been improved, but the proportion of cities in the transition period is still large, especially the “Low-Low-Low” cities. The types of cities in the transitional period need to be focused. It is still a heavy burden to realize the ESE coordination and sustainable development of BTH urban agglomeration transportation network.


Author(s):  
Z. G. Pan ◽  
G. W. Lan ◽  
D. L. Fan ◽  
Y. L. Du ◽  
Y. Zeng

Abstract. Space syntax and distance measurement are significant theoretical methods for studying road accessibility. Space syntax deals with the topological relationship between road networks, but the length of the road is ignored. While distance measurement method only takes into account the factors such as distance, time, and economic costs when studying road accessibility. Both of them are defective in evaluating the accessibility of transportation networks, and there are a few of researches that consider the interaction between road axes lines. In this paper a method for traffic network accessibility evaluation is proposed by combining the space syntax theory and the distance measurement method, and considering the influence of the interaction between road axes lines at the same time. The method is successfully applied for evaluating the traffic network accessibility of Nanning in Guangxi. The research shows that: (1) the results of the analysis are compared horizontally with traffic conditions at different times in Nanning City, and the experimental results are nearly in line with the actual road conditions. (2) The areas with high road density are Liangfeng District, Qingxiu District and Xixiangtang District. (3) Nanning City's road network center is located at the intersection of Xixiangtang District, Xingning District, Qingxiu District and Jiangnan District; its traffic network distribution is the densest and the overall level of urban road accessibility is higher. This study provides a theoretical basis for the development of Nanning's transportation network and has the reference significance for further optimizing the transportation planning in Nanning.


2020 ◽  
Vol 12 (6) ◽  
pp. 2435
Author(s):  
Yuwei Yang ◽  
Jun Chen ◽  
Zexingjian Du

In the context of a rapid developing urban economy and the increasing number of motor vehicles, urban commuting transportation has witnessed a serious mismatch between the supply of and the demand for transportation network resources. In developing an urban multi-mode traffic network, using a urban traffic transfer hub to coordinate the transportation capabilities among different traffic networks is perceived to be highly effective for exploring the network transportation capacity of an entire transportation system, and improving travel efficiency and experiences for the public. Based on the super-network model, this paper develops a topological structure for a multi-mode traffic network, in which two typical combined travel modes are selected to establish the path impedance function for that network. Moreover, the multi-mode traffic allocation model and the solving algorithm are constructed in the research. The paper studies the impact of two types of factors related to the transfer capacity of passenger flows based on the regular traffic network of a bus-and-subway transfer hub using a sensitivity analysis of the transfer time and the associated penalty. The findings suggest that both changes in transfer walking time and the transfer penalty have no significant effect on the bus passenger flow.


Transport ◽  
2019 ◽  
Vol 35 (3) ◽  
pp. 315-326
Author(s):  
Hadi Karimi ◽  
Seyed-Nader Shetab-Boushehri ◽  
Ali Zeinal Hamadani

The Origin–Destination (O–D) matrix, is an important information in transportation planning and traffic control. Rapid changes in land use, particularly in developing countries, have been and are on an increase, which makes the estimation and observation of this matrix more significant. The objective of this paper is to observe O–D matrix under two scenarios. In the first scenario, it is assumed that the traffic network is equipped with path-ID sensors. In this situation, the goal is to determine the optimal number and location of these sensors in the network, where by applying collected information through these sensors, the O–D matrix is observed. Because path-ID sensors are not available in many cities, in the second scenario the interview alternative is proposed in order to observe O–D matrix. The interview method has encountered some restrictions. Several mathematical programming models have been developed to overcome these restrictions. To illustrate these proposed methodologies, they are applied in the Nguyen–Dupuis transportation network and the results are analysed. By applying the model on the intercity road network in the Province of Isfahan (Iran), a large network, the efficiency of these proposed models is demonstrated. Finally, some conclusions and final recommendations are included.


2011 ◽  
Vol 219-220 ◽  
pp. 732-735
Author(s):  
Xiao Hui Li ◽  
Qing Mei Tan

In response to heavy demand for emergency logistics, an approach based on hierarchical network theory is introduced to solve the complexity of highway transportation network. It groups the traffic network into subprime networks and backbone networks on which a virtual local area network is designed accordingly to fulfill such function as information exchange and road condition renewal between forwarding stations. Compared with flat networks, the hierarchical traffic network design is in a good position to speed up routing, to conduct real-time monitoring and data-exchange, and consequently enhances efficiency of emergency logistics.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yulong Chen

Scientific location selection of schools is an important way to optimize the allocation of educational resources, improve the efficiency of operating schools, and realize the balanced development of education, especially in rural areas. Many studies have considered the location of schools, but most have omitted the impact of transportation network conditions and the time cost differences caused by different travel speeds under different road conditions. The object of this study is to minimize the total transportation costs for students, construction costs for new schools, and the construction and upgrading costs for roads on a traffic network with travel time uncertainty indicated by different travel time scenarios. A mixed-integer programming model for this problem was proposed. Furthermore, a hybrid simulated annealing algorithm was used to solve the problem. Finally, a practical case study was used to illustrate the application of the proposed mathematical model. The results showed that the traffic network has an important influence on the optimization location of rural schools, and the improvement of traffic network conditions can greatly reduce the time required for students to travel to school.


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