scholarly journals The effects of the multimodal real time information systems on the travel behaviour

2017 ◽  
Vol 25 ◽  
pp. 2677-2689 ◽  
Author(s):  
Cristina Pronello ◽  
José Pedro Ramalho Veiga Simão ◽  
Valentina Rappazzo
Keyword(s):  
Information Systems ◽  
Real Time ◽  
Travel Behaviour ◽  
Real Time Information ◽  
Time Information

scholarly journals Understanding the Transit Market: A Persona-Based Approach for Preferences Quantification

2020 ◽  
Vol 12 (9) ◽  
pp. 3863 ◽  
Author(s):  
Gamal Eldeeb ◽  
Moataz Mohamed
Keyword(s):  
Real Time ◽  
Choice Model ◽  
Information Provision ◽  
Travel Behaviour ◽  
Error Component ◽  
Transit Market ◽  
Bus Service ◽  
Transit Agencies ◽  
Real Time Information ◽  
Time Information

The study aims at utilizing a persona-based approach in understanding, and further quantifying, the preferences of the key transit market groups and estimating their willingness to pay (WTP) for service improvements. The study adopted an Error Component (EC) interaction choice model to investigate personas’ preferences in a bus service desired quality choice experiment. Seven personas were developed based on four primary characteristics: travel behaviour, employment status, geographical distribution, and Perceived Behavioural Control (PBC). The study utilized a dataset of 5238 participants elicited from the Hamilton Street Railway Public Engagement Survey, Ontario, Canada. The results show that all personas, albeit significantly different in magnitude, are negatively affected by longer journey times, higher trip fares, longer service headways, while positively affected by reducing the number of transfers per trip and real-time information provision. The WTP estimates show that, in general, potential users are more likely to have higher WTP values compared to current users except for at-stop real-time information provision. Also, there is no consensus within current users nor potential users on the WTP estimates for service improvements. Finally, shared and unique preferences for service attributes among personas were identified to help transit agencies tailor their marketing/improvement plans based on the targeted segments.

DBSSG Predictable Real-Time Information Systems Task Group.

1995 ◽  
Author(s):  
Donna Fisher ◽  
Paul Fortier ◽  
David Hughes ◽  
Mayford Roark
Keyword(s):  
Information Systems ◽  
Real Time ◽  
Task Group ◽  
Real Time Information ◽  
Time Information

Analysis of Supercritical Stability of Distributed Real-Time Information Systems

2021 ◽  
pp. 60-83
Author(s):  
I.E. Vishnyakov ◽  
I.P. Ivanov ◽  
O.A. Odintsov
Keyword(s):  
Information Systems ◽  
Real Time ◽  
Distributed Information ◽  
Stability And Instability ◽  
Simulation Based ◽  
Mode Of Operation ◽  
The Stability ◽  
Real Time Information ◽  
Time Information ◽  
Practical Recommendations

The article describes an approach to the numerical analysis of the stability of distributed information systems under a load that varies over time allowing for a short-term load exceeding critical values. Information systems are considered as imperfect queuing systems in which the intensity of the message flow may depend on the size of the queues of applications. Based on this approach, criteria for the stable and unstable behavior of the system under load are formulated, where the stable behavior of the system is understood as the ability of the system to return to its normal mode of operation independently when the external load drops below the critical value, and unstable one when there is the transition to an emergency state. As examples, the most common types of unstable systems are considered, as well as an example of a distributed system that implements a complex queuing system, which, depending on the characteristics of the service, can be either stable or unstable. The analysis of such a system is carried out, which is confirmed by the results of numerical simulation. Based on the analysis results, zones of stability and instability are determined. Features of the implementation of distributed real-time information systems are considered, practical recommendations for the implementation of sustainable information systems are given

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