Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

Jia, Guo-Ling; Rong-guo, MA; Hu, Zhi‐Hua

doi:10.3390/su11072007

Cited by 31 publications

(19 citation statements)

References 29 publications

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“…From the perspective of geometry of transportation networks, Aldous [13] discussed numerically a general model where the network minimizes the average time between all pairs of points and proposed a scaling form for the average time. Based on complex network theory, Jia [14] developed a model based on betweenness to improve the public transportation network's sustainability, which is also of great importance when we try to analyze the topological structure of an urban rail network.…”

Section: Effective Path Searchmentioning

confidence: 99%

“…When the paths in P rz do not overlap each other, the model degenerates into classical Logit. Therefore, this paper combines the Logit model with the relative generalized cost proposed by [30] with the C-Logit model, and proposes an improved C-Logit multi-path passenger flow assignment model, as in Equation 14 (14) where c min rz = min c m rz . The actual effect of each model is illustrated by the simple urban rail network as shown in Figure 1.…”

Section: Improved C-logit Multi-path Passenger Flow Assignment Modelmentioning

confidence: 99%

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Passenger Flow Pushing Assignment Method for an Urban Rail Network Based on Hierarchical Path and Line Decomposition

2019

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: For urban rail transit, an environmentally-friendly transportation mode, reasonable passenger flow assignment is the basis of train planning and passenger control, which is conducive to the sustainability of finance, operation and production. With the continuous expansion of the scale of urban rail networks, passenger travel path decision-making tends to be complex, which puts forward higher requirements of networked transportation organization. Based on undirected graphs and the idea of the recursive divide-and-conquer algorithm, this paper proposes a hierarchical effective path search method made up of a three-layer path generation strategy, which consists of deep search line paths, key station paths composed of origin–destination (O-D) nodes and transfer stations, and the station sequence path between the key stations. It can effectively simplify the path search and eliminate obvious unreasonable paths. Comparing the existing research results based on the classical polynomial Logit model, a practical Improved C-Logit multi-path passenger flow assignment model is proposed to calculate the selection ratio of each path in the set of effective paths. Combining the hierarchical path search strategy, the O-D pairs of passenger flow are divided into local-line and cross-line situations. The time-varying cross-line passenger flow is decomposed into a series of passenger sections along the key station paths. A passenger flow pushing assignment algorithm based on line decomposition is designed, which satisfies the dynamic, time-varying and continuous characteristics. The validation of Guangzhou Metro’s actual line network and time-varying O-D passenger demand in 2019 shows that the spatio-temporal distribution results of the passenger pushing assignment have a high degree of coincidence with the actual statistical data.

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Section: Effective Path Searchmentioning

confidence: 99%

Section: Improved C-logit Multi-path Passenger Flow Assignment Modelmentioning

confidence: 99%

Passenger Flow Pushing Assignment Method for an Urban Rail Network Based on Hierarchical Path and Line Decomposition

2019

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“…Compared with cars, public transportation has obvious advantages due to its per capita occupation of road resources and per capita energy consumption [2]. Public transportation has become an effective travel tool for urbanization and the sustainable development of urban transportation [2][3][4], and it is common sense to address urban transportation issues by prioritizing the development of public transportation [5,6]. The concept of public transport priority originated in France in the 1960s and was subsequently improved in developed countries such as Great Britain, the United States, and Japan [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation—Case Study of Nanchang City, China

et al. 2020

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In order to systematically analyze the benefits of transit metropolis construction, the system dynamics (SD) theory was used to construct the transit metropolis SD simulation model from the four subsystems of economy, society, environment, and transportation supply and demand. The validity of the SD model was verified by the social and economic data of Nanchang City and the operational data of the bus company, and the quantitative simulation analysis was carried out by taking the construction of the transit metropolis in Nanchang as an example. The simulation results show that, in 2020, the number of motor vehicles in Nanchang will reach 1.13 million and the urban population will reach 5.71 million. It is necessary to build a transit metropolis for the sustainable development of urban transportation. In order to complete the transit metropolis creation goal of 60% of the public transit mobility sharing rate, the proportion of public transport investment in the total transportation investment needs to be adjusted from 0.25 to 0.35. As a result, Nanchang City will improve after the peak traffic congestion in 2022, indicating that the construction of the transit metropolis will have a positive effect on Nanchang. By developing new energy vehicles and low-emission vehicles, vehicle emissions will drop from 0.05 tons/year to 0.04 tons/year, and overall nitrogen oxide emissions will fall by 70%, which is significant for urban environments. The research results provide theoretical support for the significance of transit metropolis construction, and promote the sustainable development of urban transportation.

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“…The growing concern surrounding the environmental impacts generated by the use of fossil fuel sources and global warming effects are causing an increasing interest in study and the optimization of the configurations of transport systems [1][2][3][4] and public transport network [5,6]. Planning urban rapid transit systems is a complex decision process that takes place over a long period and involves the participation of designers, engineers, politicians, and social committees.…”

Section: Introductionmentioning

confidence: 99%

Optimal Alignments for Designing Urban Transport Systems: Application to Seville

et al. 2019

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The achievement of some of the Sustainable Development Goals (SDGs) from the recent 2030 Agenda for Sustainable Development has drawn the attention of many countries towards urban transport networks. Mathematical modeling constitutes an analytical tool for the formal description of a transportation system whereby it facilitates the introduction of variables and the definition of objectives to be optimized. One of the stages of the methodology followed in the design of urban transit systems starts with the determination of corridors to optimize the population covered by the system whilst taking into account the mobility patterns of potential users and the time saved when the public network is used instead of private means of transport. Since the capture of users occurs at stations, it seems reasonable to consider an extensive and homogeneous set of candidate sites evaluated according to the parameters considered (such as pedestrian population captured and destination preferences) and to select subsets of stations so that alignments can take place. The application of optimization procedures that decide the sequence of nodes composing the alignment can produce zigzagging corridors, which are less appropriate for the design of a single line. The main aim of this work is to include a new criterion to avoid the zigzag effect when the alignment is about to be determined. For this purpose, a curvature concept for polygonal lines is introduced, and its performance is analyzed when criteria of maximizing coverage and minimizing curvature are combined in the same design algorithm. The results show the application of the mathematical model presented for a real case in the city of Seville in Spain.

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Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

Cited by 31 publications

References 29 publications

Passenger Flow Pushing Assignment Method for an Urban Rail Network Based on Hierarchical Path and Line Decomposition

Passenger Flow Pushing Assignment Method for an Urban Rail Network Based on Hierarchical Path and Line Decomposition

System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation—Case Study of Nanchang City, China

Optimal Alignments for Designing Urban Transport Systems: Application to Seville

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