scholarly journals Extracting the Relationship and Evolutionary Rule Connecting Residents’ Travel Demand and Traffic Supply Using Multisource Data

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2179
Author(s):  
Zijia Wang ◽  
Zhixiang Chen ◽  
Youyin Shi ◽  
Liping Huang
Keyword(s):  
Travel Demand ◽  
Population Distribution ◽  
Fractal Dimensions ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Mobility ◽  
Weighted Network ◽  
Rail Network ◽  
Evolutionary Features ◽  
The Relationship

Urban rail transit (URT) systems are often regarded as the backbone of their respective city. The evolutionary features of URT systems have attracted much attention in recent years, but their evolution and their distinct function in contrast to other transit modes have seldom been investigated, especially quantitatively from the perspective of work–residence separation. Accordingly, we propose a framework for exploring the evolution of URT topological networks and demand-weighted networks, comparing the different impacts of all transit modes on work–residence separation. In this study, a URT passenger flow assignment model was formulated on the basis of travel cost function and an improved logit model was proposed that takes into account the heterogeneity of passengers. This model was used to generate a section load, which is regarded as a weight and able to reflect the residents’ demand for travel by URT. Then, the fractal dimensions for a non-weighted network and demand-weighted network are proposed and their indications for transportation explained. Finally, the Beijing Subway System (BSS) is used as a case study by employing fifty years of network data and ten years of smart card data. Using fractal approaches, the different characteristics illustrated by the two networks were investigated and the reasons behind the observed patterns explained. In addition, the spatial features of the rail network, in terms of fractal indictors, were compared with population distribution and urban mobility for all modes, extracted from phone data as a proxy. Thus, the relationship between the residents’ travel demand and traffic supply can be revealed to some extent. The main finding of this work is that demand must be taken into account when analyzing the fractal features of a transport network, lest the demand side be separated from the supply and important issues missed such as inconsistencies between demand and supply. Additionally, the role of rail transit in work–home imbalance can be investigated in the context of urban mobility for an entire city.

Scientific Location between Rail Transit and Bus in China

2011 ◽  
Vol 378-379 ◽  
pp. 274-277
Author(s):  
Yu Ping Wang ◽  
Li Zhao ◽  
Chao Qun Ma ◽  
Yan Yong Guo
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Planning ◽  
Urban Rail ◽  
Competition Result ◽  
The Relationship

With the rising of urban rail transit planning and constructing in China, the relationship between rail transit and bus must be located. After analyzed the inevitability of competition and the necessity of cooperation between rail transit and bus, this paper strategically located the relationship between rail transit and bus. At last, based on the characteristic of competition between rail transit and bus, this paper brought forward specific measures of staggering competition with cooperation corresponding to different rail transit develop stage to implement rail transit and bus. Higher level competition will be formed, and the competition result is not “single win” but “both win”.

Influence of Emergency Passenger Flow Distribution in Urban Rail Network

2012 ◽  
Vol 450-451 ◽  
pp. 295-301 ◽  
Author(s):  
Ling Hong ◽  
Jia Gao ◽  
Rui Hua Xu
Keyword(s):  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Abstract Model ◽  
Flow Volume ◽  
Rail Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Passenger Flows ◽  
Urban Rail Transit Network

The emergency disposal of urban rail transit needs to accurately estimate the emergency range and total affected passenger flow volume. The urban rail transit network could be simplified to an abstract model which is easy to be analyst based on the graph theory method. Considering the actual network back-turning lines and vehicle storage tracks of urban rail network, the emergency range could be estimated effectively. The affected passenger flow could be classified as different kinds based on the different paths of passenger flow. The classification of passenger flow mainly includes “delay passenger flow”, “detour passenger flow” and “loss passenger flow”. Considering the emergency range, the different affected passenger flows could be superposed over time based on the abstract model, then the affected passenger flow volume and virtual loss time could be calculated out. The results could provide basis for the emergency disposal in urban rail transit. The example analysis is verified the feasibility of this method.

scholarly journals Light rail transit as a tool for urban brownfield revitalization

2021 ◽  
Author(s):  
Davin McCully
Keyword(s):  
Urban Environments ◽  
Urban Land Use ◽  
Light Rail ◽  
Rail Transit ◽  
Urban Mobility ◽  
Light Rail Transit ◽  
Environmental Implications ◽  
Bus Transit ◽  
The Relationship ◽  
Heavy Rail

In Europe and in North America, Light Rail Transit (LRT) is increasingly being seen as a viable and attractive transportation option which is not as cost prohibitive as heavy rail, yet carries more passengers and travels at higher speeds than traditional bus transit. Brownfield regeneration is at the forefront of urban land use policy, as cities try to reign in sprawl and address local economic, social, and environmental implications of such underused or abandoned sites. This paper will examine the relationship between the implementation of LRT in urban environments, and how that investment in transportation infrastructure affects the regeneration of urban brownfield sites. This will be achieved through the use of three urban case studies, each with subpopulations between 100,000 – 500,000. Key Words: Light Rail Transit, Brownfield, Transportation, Sustainability, Urban Mobility, Urban Financing, Municipal Plans and Policies.

scholarly journals Vulnerability Analysis of Urban Rail Transit Network within Multi-Modal Public Transport Networks

2019 ◽  
Vol 11 (7) ◽  
pp. 2109 ◽  
Author(s):  
Qing-Chang Lu ◽  
Shan Lin
Keyword(s):  
Public Transport ◽  
Flow Characteristics ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Network Vulnerability ◽  
Transit Network ◽  
Rail Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Urban Rail Transit Network

In terms of urban rail transit network vulnerability, most studies have focused on the network topology characteristics and travel cost changes after network incidents and analyzed rail transit network independently. The neglects of passenger flow distributions on the network and alternative public transport modes under rail network disruptions would either underestimate or overestimate the vulnerability of rail transit network, and thus lead to inaccurate results and decisions. This study presents an accessibility-based measurement for urban rail transit network vulnerability analysis and explicitly accounts for rail passenger flow characteristics, travel cost changes, and alternative transit modes. It is shown that the proposed approach is capable of measuring the consequences on rail network, and the advantages of the accessibility method are demonstrated and compared. The methodology is applied to the urban rail transit network of Shenzhen, China within a multi-modal public transport network. Results reveal that the consequences of disruptions on network accessibility are obviously different for stations with different passenger flow characteristics, and some undisrupted stations are found to be vulnerable under surrounding station failures. The proposed methodology offers reliable measurements on rail transit network vulnerability and implications for decision-making under rail network disruptions.

Computation Model of Network Scale for Urban Rail Transit Based on Mutualism Model

2014 ◽  
Vol 631-632 ◽  
pp. 1329-1333 ◽  
Author(s):  
Wei Zhao ◽  
Yang Ming Gao ◽  
Man Sheng Dong
Keyword(s):  
Travel Demand ◽  
Nonlinear Differential Equations ◽  
Influencing Factor ◽  
Theory Model ◽  
Urban Rail Transit ◽  
Practical Significance ◽  
Rail Transit ◽  
Demand Model ◽  
Urban Rail ◽  
Network Scale

In order to compute the network scale of urban rail transit, the paper proposed a mutualist model describing the network scale, through investigating the main influencing factor of network scale-the population and the relationship between population and network. The equilibrium point of different equations was given practical meaning.calibrating the key physical quantities, the nonlinear differential equations have been solved by using Runge–Kutta. Applying the model to predict the population and network scale in main city in Hefei in 2020 and long future, compared with the traditional travel demand model and network service coverage model. The result are basically accordant, so the new model is feasible.The theory model provides a new means of quantitative analysis method for urban rail transit network planning, So it has important theoretical and practical significance.

Research on Urban Rail Transit Resource Allocation Based on K-Shortest Paths Algorithm

2013 ◽  
Vol 748 ◽  
pp. 1285-1289 ◽  
Author(s):  
Ju Mei Shen ◽  
Yong Sheng Shen ◽  
Lin Xu
Keyword(s):  
Resource Allocation ◽  
Search Algorithm ◽  
Shortest Paths ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Rail Network ◽  
Assignment Model ◽  
Urban Rail ◽  
Major Factors

This paper considers the major factors of passenger flow distribution and the running cost of train, explains and demonstrates how to sove the problem of urban rail transit resource allocation. The paper at first constructs urban rail network assignment model in the multiple operating lines based on the k-shortest paths algorithm, then proposes the k shortest paths search algorithm, finally the effectiveness of the model and algorithm are verified with the data from the Beijing urban rail transit network.

scholarly journals Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shaojie Wu ◽  
Yan Zhu ◽  
Ning Li ◽  
Yizeng Wang ◽  
Xingju Wang ◽  
...  
Keyword(s):  
Complex Network ◽  
Network Reliability ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Weighted Network ◽  
Network Nodes ◽  
Transit Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Passenger Flows

During the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. This paper proposes the passenger-flow-weighted network reliability evaluation indexes, to assess the impact of passenger flows on network reliability. The reliability performances of the rail transit network and passenger-flow-weighted one are analyzed from the perspective of a complex network. The actual passenger flow weight of urban transit network nodes was obtained from the Shanghai Metro public transportation card data, which were used to assess the reliability of the passenger-flow-weighted network. Furthermore, the dynamic model of the Shanghai urban rail transit network was constructed based on the coupled map lattice (CML) model. Then, the processes of cascading failure caused by network nodes under different destructive situations were simulated, to measure the changes of passenger-flow-weighted network reliability during the processes. The results indicate that when the scale of network damage attains 50%, the reliability of the passenger-flow-weighted network approaches zero. Consequently, taking countermeasures during the initial stage of network cascading may effectively prevent the disturbances from spreading in the network. The results of the paper could provide guidelines for operation management, as well as identify the unreliable stations within passenger-flow-weighted networks.

Study on Stability of Last Train Connection under Delays on Urban Rail Transit

2014 ◽  
Vol 641-642 ◽  
pp. 757-762 ◽  
Author(s):  
Yuan Pei Li
Keyword(s):  
Urban Rail Transit ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Rail Transit ◽  
Transit Network ◽  
Rail Network ◽  
Urban Rail ◽  
The Stability ◽  
The Impact ◽  
Static Evaluation

The stability of the last train connection under delays directly reflects the coordination of urban rail network. Based on the connection of scheme of last trains, this paper analyzed of the impact of the delay on the transfers and established a static evaluation index system of the impact on transit network. Furthermore, the paper evaluated a rail transit network under different last train delays. Ultimately, the evaluation results could be got by this method, which could be used to analyze the trend of the evaluation results over delay time.

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