scholarly journals Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China

2020 ◽  
Vol 12 (18) ◽  
pp. 7410
Author(s):  
Mingyu Chen ◽  
Huapu Lu
Keyword(s):  
Natural Hazards ◽  
Network Performance ◽  
Simulation Analysis ◽  
Transportation Networks ◽  
Transportation Network ◽  
Urban Agglomeration ◽  
Complex Network Theory ◽  
Bay Area ◽  
Targeted Attacks

Recently, urban agglomerations have become the main platform of China’s economic development. As one of those, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has an important strategic position in national blueprints. Its amazing achievement is inseparable from reliable and resilient transportation networks. With the aim of improving the sustainability of the GBA, this paper presents a novel view of vulnerability and resilience of integrated transportation networks within an urban agglomeration. According to complex network theory, the integrated transportation network model of the GBA was established. Various scenarios were considered to improve the overall level of defensive ability, including random failures, targeted attacks and natural hazards. Vulnerability and resilience assessment models were developed to investigate the influences on the whole network. Finally, a simulation analysis was conducted on the GBA to examine the variations in network performance when faced with different attack scenarios. The results indicate that the transportation network of the GBA is more vulnerable and has less resilience to targeted attacks, while natural hazards had little influence on the performance, to a certain extent. Moreover, the betweenness recovery strategy seemed to be the best choice for every attack scenario.

scholarly journals Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-22 ◽  
Author(s):  
Sihong Chen ◽  
Jianchao Xi ◽  
Menghao Liu ◽  
Tao Li
Keyword(s):  
Spatial Structure ◽  
Complex Network ◽  
Transportation Networks ◽  
Transportation Network ◽  
Tourism Development ◽  
Scientific Basis ◽  
Complex Network Theory ◽  
Passenger Flow ◽  
Service Areas ◽  
Utilization Potential

Transportation is an example of a typical, open, fluid complex network system. Expressways are one form of complex transportation networks, and expressway service areas serve as infrastructure nodes in the expressway transportation network; hence, their construction has a significant impact on tourism development and utilization. Domestic and foreign studies on complex transportation networks have mostly been conducted from the perspective of railways, air transport, and urban transportation but seldom on expressway transportation networks. This study employed complex network theory, social network analysis, kernel density analysis, and bivariate autocorrelation to characterize the spatial structure of expressway transport networks in terms of geographical centrality. By innovating the coupling of geographical centrality and passenger flow centrality in clustering, the study also quantitatively analyzed the differences between the geographical advantage and actual passenger flow advantage of China’s Guizhou expressway transportation network to analyze the tourism utilization potential of expressway service areas. We found that (1) the geographical centrality of the Guizhou expressway transportation network ranged from −1.28 to 3.33, and its distribution shows a single-core, polyconcentric dispersed spatial structure; (2) the passenger-car flow rate ranged from 15,000 to 3.66 million, and its distribution showed a dual-core, polycentric dispersed structure that is weakly concentric; and (3) there was a positive correlation of 0.22 between the geographical centrality and passenger flow of the Guizhou expressway transportation network, which showed seven cluster types—“high-high,” “moderately high-high,” “low-high,” “moderately low-high,” “high-low,” “moderately high-low,” and “low-low”—for which seven corresponding models of tourism development were proposed. This study broadens the practical application of traffic network complexity research and provides a scientific basis for upgrading and transforming the Guizhou expressway transportation network as well as for developing composite tourism uses for expressway service areas.

UrbanAccess: Generalized Methodology for Measuring Regional Accessibility with an Integrated Pedestrian and Transit Network

2017 ◽  
Vol 2653 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Samuel D. Blanchard ◽  
Paul Waddell
Keyword(s):  
San Francisco ◽  
San Francisco Bay Area ◽  
Transportation Network ◽  
Computationally Efficient ◽  
New Methods ◽  
Bay Area ◽  
Transit Accessibility ◽  
Fine Spatial Resolution ◽  
Operational Schedule

Measures of accessibility have long been an important metric in regional transportation planning and modeling. However, new methods are needed to provide computationally efficient, multiscale, free, transparent, and customizable tools that harness open and disparate sources of transportation network data at fine spatial resolution over large geographic extents. This research presents a new open source tool, UrbanAccess, which uses a generalized and scalable methodology to measure transit accessibility with a multimodal network comprising both pedestrian and operational schedule transit networks at a fine spatial scale over large metropolitan extents. A typical use for this tool is illustrated in a case study that characterizes regional transit accessibility in the San Francisco Bay Area in California.

scholarly journals Network-risk: an open GIS toolbox for estimating the implications of transportation network damage due to natural hazards, tested for Bucharest, Romania

2020 ◽  
Vol 20 (5) ◽  
pp. 1421-1439 ◽  
Author(s):  
Dragos Toma-Danila ◽  
Iuliana Armas ◽  
Alexandru Tiganescu
Keyword(s):  
Natural Hazards ◽  
Traffic Congestion ◽  
Transportation Networks ◽  
Transportation Network ◽  
Risk Indicators ◽  
Building Stock ◽  
Cascading Effects ◽  
The Road ◽  
Reduction Strategies ◽  
Network Risk

Abstract. Due to their widespread and continuous expansion, transportation networks are considerably exposed to natural hazards such as earthquakes, floods, landslides or hurricanes. The vulnerability of specific segments and structures among bridges, tunnels, pumps or storage tanks can translate not only into direct losses but also into significant indirect losses at the systemic level. Cascading effects such as post-event traffic congestion, building debris or tsunamis can contribute to an even greater level of risk. To support the effort of modeling the natural hazards' implications at the full transportation network scale, we developed a new applicable framework, relying on (i) GIS to define, analyze and represent transportation networks; (ii) methods for determining the probability of network segments to fail due to natural-hazard effects; (iii) Monte Carlo simulation for multiple scenario generation; (iv) methods to analyze the implications of connectivity loss on emergency intervention times and transit disruption; and (v) correlations with other vulnerability and risk indicators. Currently, the framework is integrated into ArcGIS Desktop as a toolbox entitled “Network-risk”, which makes use of the ModelBuilder functions and is free to download and modify. Network-risk is an attempt to bring together interdisciplinary research with the goal of creating an automated solution to deliver insights on how a transportation network can be affected by natural hazards, directly and indirectly, assisting in risk evaluation and mitigation planning. In this article we present and test Network-risk at the full urban scale for the road network of Bucharest. This city is one of Europe's most exposed capitals to earthquakes, with high seismic-hazard values and a vulnerable building stock but also significant traffic congestion problems not yet accounted for in risk analyses and risk reduction strategies.

scholarly journals THE CORRELATION OF WATER WITH SETTLEMENT AND TRANSPORTATION NETWORK: A CASE STUDY OF TURKEY

2016 ◽  
Vol 24 (3) ◽  
pp. 200-209
Author(s):  
Ömer ATABEYOĞLU
Keyword(s):  
Swot Analysis ◽  
Transportation Networks ◽  
Transportation Network ◽  
Climatic Conditions ◽  
Economic Factors ◽  
Analysis Method ◽  
Ancient History ◽  
Similarities And Differences ◽  
Transit Routes

Cities, with their ancient history, are living formations that develop and change constantly. Although there are several economical, safety and transportation reasons for their foundation purposes and for the locations where cities founded, geographical conditions also significantly affect these reasons. One of the most important elements determining the area where the cities have been founded is the water. This article examined how the geographical water resources affect the humankind settlements and the transportation network. The relationships, similarities and differences between transport and water networks were revealed using fractal analysis method. The effect of water on the location of living areas was also determined by using the bufferzone method. Swot analysis was made for evaluated to affects of the roads on ecosystem and landscape. The study was carried out on the base of 81 provinces in Turkey. The roads in the country that was netted with dense transportation networks were passed through considering the geographic elements. Rivers, lakes and seas are important factors in determining the transit routes of the roads. The water elements use the routes for which geographic conditions are the most suitable and this serves as a guide for the transport network. Additionally, provincial and district centers have also been established to be particularly close to the water element due to its landscape and economic factors, the appropriate geographic and climatic conditions.

scholarly journals Network-risk: an open GIS toolbox for estimating the implications of transportation network damage due to natural hazards, tested for Bucharest, Romania

2020 ◽  
Author(s):  
Dragos Toma-Danila ◽  
Iuliana Armas ◽  
Alexandru Tiganescu
Keyword(s):  
Natural Hazards ◽  
Traffic Congestion ◽  
Transportation Networks ◽  
Transportation Network ◽  
Risk Indicators ◽  
Dijkstra Algorithm ◽  
Building Stock ◽  
Cascading Effects ◽  
Model Builder ◽  
Network Risk

Abstract. Due to their widespread and continuous expansion, transportation networks are considerably exposed to natural hazards such as earthquakes, floods, landslides or hurricanes. The vulnerability of specific segments and structures such as bridges, tunnels, pumps or storage tanks can translate not only in direct losses but also in significant indirect losses at systemic level. Cascading effects such as post-event traffic congestion, building debris or tsunamis can contribute to an even greater level of risk. To support the effort of modelling the natural hazards implications at full transportation network scale, we developed a new applicable framework relying on (i) GIS to define, geo-spatially analyze and represent transportation networks; (ii) methods for determining the probability of network segments to fail due to natural hazard effects; (iii) MonteCarlo simulation for multiple scenario generation; (iv) methods (using Dijkstra algorithm) to analyze the implications of connectivity loss on emergency intervention times and transit disruption, (v) correlations with other vulnerability and risk indicators. Currently, the framework is integrated in ArcGIS Desktop as a toolbox (entitled Network-risk) – making use of the Model Builder functions and being free for download and customize. Network-risk is an attempt to bring together interdisciplinary research with the goal of creating an automated solution to deliver insights on how a transportation network can be affected by natural hazards, directly and indirectly, aiding in risk evaluation and mitigation planning. In this article we present and test Network-risk at full urban scale, for the entire road network of Bucharest – one of the world's most exposed capitals due to earthquakes, with high seismic hazard values and a vulnerable building stock, but also significant traffic congestion problems not yet quantified in risk analyses.

scholarly journals Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran

2021 ◽  
Vol 6 (3) ◽  
pp. 46
Author(s):  
Amir Masoud Rahimi ◽  
Maxim A. Dulebenets ◽  
Arash Mazaheri
Keyword(s):  
Intelligent Transportation Systems ◽  
Network Performance ◽  
Traffic Simulation ◽  
Transportation Networks ◽  
Transportation Network ◽  
Travel Speed ◽  
Transportation Systems ◽  
Mitigation Strategies ◽  
Northern Iran ◽  
Microsimulation Models

Industrialization, urban development, and population growth in the last decades caused a significant increase in congestion of transportation networks across the world. Increasing congestion of transportation networks and limitations of the traditional methods in analyzing and evaluating the congestion mitigation strategies led many transportation professionals to the use of traffic simulation techniques. Nowadays, traffic simulation is heavily used in a variety of applications, including the design of transportation facilities, traffic flow management, and intelligent transportation systems. The literature review, conducted as a part of this study, shows that many different traffic simulation packages with various features have been developed to date. The present study specifically focuses on a comprehensive comparative analysis of the advanced interactive microscopic simulator for urban and non-urban networks (AIMSUN) and SimTraffic microsimulation models, which have been widely used in the literature and practice. The evaluation of microsimulation models is performed for the four roadway sections with different functional classifications, which are located in the northern part of Iran. The SimTraffic and AIMSUN microsimulation models are compared in terms of the major transportation network performance indicators. The results from the conducted analysis indicate that AIMSUN returned smaller errors for the vehicle flow, travel speed, and total travel distance. On the other hand, SimTraffic provided more accurate values of the travel time. Both microsimulation models were able to effectively identify traffic bottlenecks. Findings from this study will be useful for the researchers and practitioners, who heavily rely on microsimulation models in transportation planning.

scholarly journals Radiation Effect of Urban Agglomeration’s Transportation Network: Evidence from Chengdu–Chongqing Urban Agglomeration, China

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 520
Author(s):  
Zhangfeng Yao ◽  
Kunhui Ye ◽  
Liang Xiao ◽  
Xiaowei Wang
Keyword(s):  
Field Strength ◽  
Radiation Effects ◽  
Radiation Effect ◽  
Transportation Networks ◽  
Transportation Network ◽  
Transportation Systems ◽  
Urban Agglomeration ◽  
Strength Model ◽  
The Core ◽  
Stable Pattern

Recent years have seen the global proliferation and integration of transportation systems in urban agglomeration (UA), suggesting that transportation networks have become more prominent in the sustainable development of UA. Core cities play a radiating and driving role in affecting their adjacent cities to formulate transportation networks. Such a phenomenon is called the radiation effect of transportation networks and can be imaged using a field strength model as proposed in the study. The field strength model was verified using the Chengdu–Chongqing urban agglomeration (CCUA) as a case. Case data concerning transportation routes and traffic volume were collected for the past 20 years. The data analyses results indicate a relatively stable pattern of transportation networks in the UA. UA cities’ radiation effects follow the same compactness trend. The core cities’ radiation spheres go beyond their territories, and they can envelop the surrounding cities, highlighting the core cities’ dominance in the entire transportation network. Moreover, two development stages of UA transportation—focus and spillover—are also identified. This study contributes to the literature by providing an innovative quantitative method to detect the interaction between a city’s transportation system and peripheral cities or regions. The radiation effect of cities’ transportation systems should be considered in the UA transportation development plan, so as to meet the needs of spatial structure planning and coordinated development of the UA.

Study on Topology Optimization Algorithm of Power Communication Network Based on Complex Network Theory

2013 ◽  
Vol 385-386 ◽  
pp. 1095-1099
Author(s):  
Zhen Hui Cui ◽  
Ting Yang ◽  
Lin Chuan Li ◽  
Zhi Heng Cao
Keyword(s):  
Communication Network ◽  
Topology Optimization ◽  
Complex Network ◽  
Optimization Algorithm ◽  
Network Theory ◽  
Network Performance ◽  
Simulation Analysis ◽  
Fault Simulation ◽  
Complex Network Theory ◽  
The Impact

Based on complex network theory and network topology modeling, this paper analyses the characteristics of Power Communication Network. The simulation apply two indicators that is connectivity robustness and network performance function to respectively evaluate the impact of failure for network connectivity and communication efficiency in order to identify vulnerabilities in the network. At last, propose one topology optimization algorithm based on the point referral number to optimize the network structure. The fault simulation analysis shows that the algorithm is effective to enhance the ability of the network against deliberate attacks.

Sign in / Sign up

Export Citation Format

Share Document