The impact of new urban public transport systems: will the expectations be met?

1998 ◽  
Vol 32 (4) ◽  
pp. 231-245 ◽  
Author(s):  
Roger L. Mackett ◽  
Marion Edwards
Keyword(s):  
Public Transport ◽  
Transport Systems ◽  
Urban Public Transport ◽  
The Impact

scholarly journals Modelling consumer perceptions of service quality for urban public transport systems using statistical models for ordinal data

METRON ◽  
2021 ◽  
Author(s):  
Maria Iannario ◽  
Anna Clara Monti
Keyword(s):  
Service Quality ◽  
Public Transport ◽  
Ordinal Data ◽  
Discrete Distribution ◽  
Diagnostic Procedures ◽  
Model Specification ◽  
Transport Systems ◽  
Accurate Analysis ◽  
Urban Public Transport ◽  
The Impact

AbstractThe paper deals with ordinal response models to evaluate urban public transport systems with the purpose of interpreting consumers’ responses with reference to their profiles. New methodological developments provide opportunities for a more thorough and accurate analysis of perceived service quality. The evaluation of the uncertainty component accounts for accuracy in the assessments. Diagnostic procedures allow to evaluate model specification, with respect to the proportional odds assumption, the adequacy of the mean structure and the occurrence of heterogeneity. The impact of the covariates on the discrete distribution of the observed response is appraised through their marginal effects. The selection of the appropriate covariates leads to the identification of clusters of users, which are compared through ordinal superiority measures. Consequently critical situations are detected.

scholarly journals Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions

2019 ◽  
Vol 16 (3) ◽  
pp. 329 ◽  
Author(s):  
Fei Ma ◽  
Fei Liu ◽  
Kum Yuen ◽  
Polin Lai ◽  
Qipeng Sun ◽  
...  
Keyword(s):  
Public Transport ◽  
Coupling Strength ◽  
Failure Process ◽  
Transport Systems ◽  
Strength Analysis ◽  
Cascading Failure ◽  
Passenger Flow ◽  
Urban Public Transport ◽  
Passenger Volume ◽  
The Impact

In recent years, the frequent occurrence of rainstorms has seriously affected urban–public transport systems. In this study, we examined the impact of rainstorms on the vulnerability of urban–public transport systems consisting of both ground bus and metro systems, which was abstracted into an undirected weighted Bus–Metro complex bilayer network (Bus–Metro CBN) and the passenger volume was regarded as its weight. Through the changes in the node scale, network efficiency, and passenger volume in the maximal connected component of the Bus–Metro CBN, we constructed a vulnerability operator to quantitatively calculate the vulnerability of the Bus–Metro CBN. Then, the flow-based couple map lattices (CMLs) model was proposed to simulate cascading failure scenarios of the Bus–Metro CBN under rainstorm conditions, in which the rainstorm is introduced through a perturbation variable. The simulation results show that under the condition of passenger flow overload, the network may have a two-stage cascading failure process. The impact analysis shows that there is a rainstorm intensity threshold that causes the Bus–Metro CBN to collapse. Meanwhile, we obtained the optimal node and edge capacity through capacity analysis. In addition, our analysis implies that the vulnerability of the Bus–Metro CBN network in most scenarios is mainly caused by the degradation of network structure rather than the loss of passenger flow. The network coupling strength analysis results show that the node coupling strength has greater potential to reduce the vulnerability than edge coupling strength. This indicates that traffic managers should prioritize controlling the mutual influence between bus stops (or metro stations) to reduce the vulnerability of the Bus–Metro CBN more effectively.

scholarly journals A Study on the Corridor of Urban Public Transport Systems in Japan

2005 ◽  
Vol 22 ◽  
pp. 643-650
Author(s):  
Tsutomu YABE ◽  
Fumihiko NAKAMURA ◽  
Toshiyuki OKAMURA
Keyword(s):  
Public Transport ◽  
Transport Systems ◽  
Urban Public Transport

Cascading failure with preferential redistribution on bus–subway coupled network

2021 ◽  
pp. 2150103
Author(s):  
Sonnam Jo ◽  
Liang Gao ◽  
Feng Liu ◽  
Menghui Li ◽  
Zhesi Shen ◽  
...  
Keyword(s):  
Public Transport ◽  
Failure Process ◽  
Vital Role ◽  
Urban Transport ◽  
Traffic Load ◽  
Transport Systems ◽  
Cascading Failure ◽  
Passenger Flow ◽  
Urban Public Transport ◽  
Overall Performance

Robustness studies on integrated urban public transport networks have attracted growing attention in recent years due to the significant influence on the overall performance of urban transport system. In this paper, topological properties and robustness of a bus–subway coupled network in Beijing, composed of both bus and subway networks as well as their interactions, are analyzed. Three new models depicting cascading failure processes on the coupled network are proposed based on an existing binary influence modeling approach. Simulation results show that the proposed models are more accurate than the existing method in reflecting actual passenger flow redistribution in the cascading failure process. Moreover, the traffic load influence between nodes also plays a vital role in the robustness of the network. The proposed models and derived results can be utilized to improve the robustness of integrated urban public transport systems in traffic planning.

Analysis of selected ITS services used in urban public transport

2018 ◽  
Vol 121 ◽  
pp. 211-222
Author(s):  
Damian Lach ◽  
Elżbieta Macioszek
Keyword(s):  
Information Systems ◽  
Public Transport ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Road Infrastructure ◽  
Intelligent Transport ◽  
Emergency Situations ◽  
Traffic Conditions ◽  
Urban Public Transport ◽  
Immediate Response

Intelligent Transport Systems (ITS) are a set of tools that enable better and more efficient use of existing road infrastructure. They support the operation of transport systems in selected areas. ITS services are not only related to the improvement of cars traffic conditions but also to the functioning of urban public transport in the area of their impact. Thanks to the available ITS functions, supervision over the functioning of urban public transport has become easier and allows to achieve the intended effects in the form of increasing the importance of urban public transport (UPT) in transport systems of cities and agglomerations. Establishing transport priorities for UPT vehicles, closing streets for cars, supervising the movement of UPT vehicles, dynamic passenger information systems or immediate response to emergency situations is one of many available ITS functions in public transport. The article presents an analysis of the functioning of selected ITS services supporting the functioning of urban public transport in selected areas of the Silesian Voivodeship.

Developing new urban public transport systems

1996 ◽  
Vol 3 (4) ◽  
pp. 225-239 ◽  
Author(s):  
Marion Edwards ◽  
Roger L Mackett
Keyword(s):  
Public Transport ◽  
Transport Systems ◽  
Urban Public Transport

scholarly journals Rationalizing Urban Transportation using Smart Card Data

2019 ◽  
Vol 8 (11S) ◽  
pp. 507-515
Keyword(s):  
Smart Card ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Population ◽  
Transport Systems ◽  
Living Standard ◽  
Transit System ◽  
Advantages And Disadvantages ◽  
Smart Card Data ◽  
The Impact

The urban population in 2014 accounted for 54% of the total global population, up from 34% in 1960, and continues to grow. The global urban population is expected to grow approximately 1.84%, 1.63% and 1.44% between 2015 and 2020, 2020 and 2025, and 2025 and 2030 respectively. This growing population puts pressure on government not only to accommodate the current and potential citizens but also provide them facilities and services for a better living standard. Providing a sustainable growing environment for the citizens is the biggest challenge for the government. As the populations increase, complexity network of transportation, water and sanitation, emergency services, etc. will increase many folds. SMART CITY Mission is being implemented to resolve this issue. As the cities turn smart, so should the transportation facilities. India on June 2018 had only 20 cities with populations of over 500,000 have organized public transport systems, pointing to the large gap to be bridged in their journey to turn smart. The aim of this paper is to examine the impact of smart card data from public transport for improving the predictions and planning of public transport usage and congestions. The mobile apps like M-Indicator, Google Maps don’t interlink, do not have a real time tracking of vehicles, fare distribution, congestion-based route mapping for public transportation. These factors are addressed in the paper with its advantages and disadvantages. This paper also talks about how information from smart card is to be extracted, how Big Data is to be managed and finally come to a smart, sustainable Urban Transit System. This paper also brings into light the data security issues and measures to curb those issues. This paper proposes and emphasizes on a single smart card for all modes of public transport

scholarly journals CALIBRATION OF VILNIUS PUBLIC TRANSPORT MODEL

Transport ◽  
2006 ◽  
Vol 21 (3) ◽  
pp. 201-206 ◽  
Author(s):  
Rasa Ušpalyte-Vitkūniene ◽  
Marija Burinskiene ◽  
Vytautas Grigonis
Keyword(s):  
Public Transport ◽  
Information Technologies ◽  
Transport Model ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Transport Modelling ◽  
Financial Investment ◽  
Performance Quality ◽  
Passenger Flows ◽  
The Impact

The application of information technologies preconditions the optimisation of performance of transport systems: improvement of the performance quality, safety and efficiency of the overall system, increase in capacity, reduction of the trip duration without high financial investment into construction of the new technical infrastructure. The transport modelling is the only economical and sufficiently reliable way to carry out a forward assessment of the impact of the innovations to be applied on the overall system. The network of Vilnius public transport was built up on the data of 2002, and the year 2002 saw the last comprehensive surveys. Building up the PT network the data was taken from the VIDAS database, created in 2002 while drafting the special plan for Vilnius transport infrastructure (tram) development. The morning rush hour, when the passenger flows are maximum, was chosen for the modelling. Calibration of Vilnius PT network was carried out after selection of three possible methods: TSys‐based, Headway‐based and Timetable‐based. In the timetable‐based model Logit, Kirchhoff, BoxCox and Lochse distribution factors are inter‐changed. Analysis of all coefficients received when modelling allows a conclusion that further modelling of the development of Vilnius public transport network should be based on Timetable‐based model choosing Kirchhoff or BocCox distribution laws, whereof conformity to the basic averages of coefficients of the 2002 survey is respectively 0,82 and 0,81. This would facilitate adopting solutions to the development of the public transport systems and would increase their reliability. The calculated coefficients revealed that TSys‐based methods were mostly removed from reality, and the average coefficient of failure to conform to the data of the 2002 survey is 0,24. This method did not give any data about the load on the stops, although the number of trips modelled with the help of this method was most proximate to the survey data, i.e. 0,69 %.

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