scholarly journals Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm

2021 ◽  
Vol 13 (4) ◽  
pp. 2033
Author(s):  
Luca D’Acierno ◽  
Marilisa Botte
Keyword(s):  
System Design ◽  
Public Transport ◽  
Transport Systems ◽  
Arrival Times ◽  
Analytical Formulation ◽  
Railway System ◽  
Real Scale ◽  
Terminal Station

Public transport systems can be characterised by a schedule-based or a frequency-based framework according to the kind of service to be operated. In the former case, specific departure and arrival times are set for each run and disclosed to the users; in the latter, instead, it is necessary to maintain a certain headway between two successive runs, rather than a specific timetable structure. This paper focuses on modelling frequency-based systems, which can be described by means of the so-called Merry-Go-Round (MGR) paradigm. The paradigm is first discussed and the related analytical formulation is presented; the role of the terminal station layout is then investigated within this framework. Finally, in order to show the effectiveness of the proposed formulation, it was implemented in the case of a real-scale metro line.

scholarly journals BRIDGING TOURIST ATTRACTIONS. THE ROLE OF WATERBUSES IN URBAN TOURISM DEVELOPMENT: THE CASE OF THE COASTAL CITY OF GDAŃSK (POLAND)

2021 ◽  
Vol 34 (1) ◽  
pp. 126-131
Author(s):  
Maciej TARKOWSKI ◽  
◽  
Marcin POŁOM ◽  
Krystian PUZDRAKIEWICZ ◽  
◽  
...  
Keyword(s):  
Public Transport ◽  
Spatial Development ◽  
Transport Systems ◽  
Tourist Attractions ◽  
Public Transport System ◽  
Coastal City ◽  
Transport Services ◽  
International Importance ◽  
Tourist Center

Identification of the role of the waterbus system in the development of tourism in a large coastal city – a tourist center of international importance. Cartographic materials, qualitative and quantitative data on the waterbus system, spatial development and tourist traffic were used. Quantitative temporal and spatial analyses were conducted, including GIS analyses. Service of the tourist traffic is the dominant function of the waterbus in Gdańsk. This is determined by three categories of factors: (i) the seasonal nature of the system and a low level of integration with the public transport system; (ii) low potential demand for transport services due to the fact that most of the stops are far away from large residential or work centers; (iii) proximity of most of the city’s main tourist attractions to the stops. The obtained results are helpful in programming the development of public transport systems, especially in large tourist coastal cities. The conditions of spatial development are of key importance for shaping the dominant function of the waterbus.

Customer-centered knowledge management: challenges and implications for knowledge-based innovation in the public transport sector

2015 ◽  
Vol 19 (3) ◽  
pp. 559-578 ◽  
Author(s):  
Stavros Sindakis ◽  
Audrey Depeige ◽  
Eleni Anoyrkati
Keyword(s):  
Knowledge Management ◽  
Public Transport ◽  
Management Practices ◽  
Transport Systems ◽  
Transport Sector ◽  
Content Type ◽  
The Public ◽  
Knowledge Based ◽  
Knowledge Management Practices

Purpose – This study aims to explore the role of knowledge management practices in supporting current and emerging passengers’ and customer needs, aiming to create value. Specifically, the research examines the importance of customer-centred knowledge management in the delivery of innovative services and practices in the public transport sector, promoting the role of interactions between mobility stakeholders and travellers. Design/methodology/approach – A theoretical framework is developed and supported by the background literature on customer-centric knowledge management approaches, business model innovation, as well as on inter-organisational and network co-operations. Findings – Results show that the development of sustainable innovation and technologies in the transport sector requires knowledge management practices, which enable the access to knowledge about users’ needs, the mapping and evaluation of innovative knowledge, the promotion of knowledge-based innovation through collective approaches, as well as the acquisition and integration of new knowledge. Research limitations/implications – The conceptual framework developed in the paper remains limited to a theoretical understanding. Further research should empirically examine knowledge issues related to the intangible character and intellectual capital intensiveness of innovation in the transport sector. Practical implications – Researchers, public transport companies and public transport authorities are expected to benefit from this research, by developing mechanisms for customer-centred knowledge management, which is found to lead to innovative services and practices in the public transport sector. Another practical implication regards the adoption of knowledge management practices, leading to technological innovations in public transport, and advancing the level of sustainability in transport systems. Originality/value – The originality of this study lies in the development of a customer-focussed knowledge management framework, which provides a novel perspective of value creation in an attempt to engage researchers and practitioners from the transport industry in the conceptualisation and development of innovative solutions.

India’s Public Transport Systems: The Role of Metro Rail

2021 ◽  
pp. 131-152 ◽  
Author(s):  
Paulose N. Kuriakose ◽  
Jayasmita Bhattacharjee
Keyword(s):  
Public Transport ◽  
Transport Systems

scholarly journals Impact of fear of crimes on public transport usage: A case study of Delhi

2020 ◽  
Vol 66 (3) ◽  
pp. 247-258
Author(s):  
Rabindra Nath Dubey ◽  
Keyword(s):  
Public Transport ◽  
Transport Systems ◽  
Public Transport System ◽  
Weak Negative Correlation ◽  
Bus Service ◽  
Bus Services ◽  
The City ◽  
Spearman’S Correlation

Delhi Transport Corporation (DTC and Delhi Metro-Rail System (DMRS) are two important public transport systems in Delhi. The DMRS has been attractive in respect to ridership but in 2015 it has shown a decrease in its ridership. It has also been found that ridership of the bus service, the most important public transport system for the poor in Delhi, has decreased over time whereas the numbers of private vehicles have recorded phenomenal increase resulting in traffic congestions and pollution problems in the city. The purpose of this study is to explore the role of the fear of crimes along with other reasons for decreasing trends in the usage of public transport in Delhi. The study is based on people opinion and perception for which 350 persons were interviewed with the structured questionnaire from ten transit places having varied socio-economic conditions. Fear of crimes within buses/coaches is considered an important reason for not using public transport in western countries but as per this study, the same is not true in the case of Delhi. Role of fear of crimes along with other factors was verified with the spearman’s correlation coefficient. The weak negative correlation has been found between the preference to public bus services and the fear of crimes; the crowing; the unavailability. It indicates that along with these other factors are equally responsible for the choice of public transports in Delhi.

Towards Simulating Cognitive Agents in Public Transport Systems

2009 ◽  
pp. 176-191 ◽  
Author(s):  
Sabine Timpf
Keyword(s):  
Public Transport ◽  
Spatial Models ◽  
Transport Systems ◽  
Default Reasoning ◽  
Cognitive Agents ◽  
Human Navigation ◽  
The World ◽  
Spatial Environment

In this chapter, the authors present a methodology for simulating human navigation within the context of public, multi-modal transport. They show that cognitive agents, that is, agents that can reason about the navigation process and learn from and navigate through the (simulated physical) environment, require the provision of a rich spatial environment. From a cognitive standpoint, human navigation and wayfinding rely on a combination of spatial models (“knowledge in the head”), (default) reasoning processes, and knowledge in the world. Spatial models have been studied extensively, whereas the reasoning processes and especially the role of the “knowledge in the world” have been neglected. The authors first present an overview of research in wayfinding and then envision a model that integrates existing concepts and models for multi-modal public transport illustrated by a case study.

scholarly journals Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6251
Author(s):  
Sergio A. Velastin ◽  
Rodrigo Fernández ◽  
Jorge E. Espinosa ◽  
Alessandro Bay
Keyword(s):  
Public Transport ◽  
Traffic Management ◽  
Ground Truth ◽  
Video Camera ◽  
Analytical Models ◽  
Transport Systems ◽  
Microscopic Traffic Simulation ◽  
Passenger Traffic ◽  
New Public ◽  
Real Scale

The main source of delays in public transport systems (buses, trams, metros, railways) takes place in their stations. For example, a public transport vehicle can travel at 60 km per hour between stations, but its commercial speed (average en-route speed, including any intermediate delay) does not reach more than half of that value. Therefore, the problem that public transport operators must solve is how to reduce the delay in stations. From the perspective of transport engineering, there are several ways to approach this issue, from the design of infrastructure and vehicles to passenger traffic management. The tools normally available to traffic engineers are analytical models, microscopic traffic simulation, and, ultimately, real-scale laboratory experiments. In any case, the data that are required are number of passengers that get on and off from the vehicles, as well as the number of passengers waiting on platforms. Traditionally, such data has been collected manually by field counts or through videos that are then processed by hand. On the other hand, public transport networks, specially metropolitan railways, have an extensive monitoring infrastructure based on standard video cameras. Traditionally, these are observed manually or with very basic signal processing support, so there is significant scope for improving data capture and for automating the analysis of site usage, safety, and surveillance. This article shows a way of collecting and analyzing the data needed to feed both traffic models and analyze laboratory experimentation, exploiting recent intelligent sensing approaches. The paper presents a new public video dataset gathered using real-scale laboratory recordings. Part of this dataset has been annotated by hand, marking up head locations to provide a ground-truth on which to train and evaluate deep learning detection and tracking algorithms. Tracking outputs are then used to count people getting on and off, achieving a mean accuracy of 92% with less than 0.15% standard deviation on 322 mostly unseen dataset video sequences.

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