Impacts of real-time information levels in public transport: A large-scale case study using an adaptive passenger path choice model

Paulsen, Mads; Rasmussen, Thomas Kjær; Nielsen, Otto Anker

doi:10.1016/j.tra.2021.03.011

Cited by 13 publications

(11 citation statements)

References 48 publications

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“…Future work should also evaluate the possibility of integrating such special needs into upcoming advanced transit advisory tools such as those proposed in Refs. [55][56][57][58][59][60][61]. Providing specific guidance on transit services that meet such special needs can certainly improve the travel experience for users with special needs.…”

Section: Discussionmentioning

confidence: 99%

Safety of People with Special Needs in Public Transport

Bęczkowska

Zysk

2021

Sustainability

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Safety is one of the most important needs of all people, but especially those with limited mobility, who face barriers of all kinds on a daily basis. The article includes a review of organizational and legal solutions for the safety of people with special needs in public transportation, as well as preliminary research aimed at identifying and classifying barriers in public transportation that limit the independent movement of people with special needs. The obtained results will be used in the development of the methodology for assessing the degree of accessibility of the studied objects and will form the basis of guidelines formulated in order to modify the existing and design the future elements of the transport system according to the principles of universal design. The problem of the lack of accessibility of public transport is the center of interest of many entities. Its solution requires a complex approach in the design process, taking into account both engineering knowledge and knowledge of the needs and constraints of different user groups. The results obtained from the study will allow the categorization of public transport modes in terms of their accessibility.

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Section: Discussionmentioning

confidence: 99%

Safety of People with Special Needs in Public Transport

Bęczkowska

Zysk

2021

Sustainability

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“…Quantifying the impact of a specific public transport disturbance can help understanding its severity, which passengers are most affected, and how to respond better to the disturbance. Unfortunately, this task is not trivial, since it requires the knowledge of both the realized trip and the planned trip of the passengers (Paulsen, Rasmussen, & Nielsen, 2021). If the former is retrievable from tracking systems or Automatic Fare Collection systems (AFC), the latter can be retrieved only directly asking the passenger, which is often unfeasible for large, long-term longitudinal datasets.…”

Section: Data Sourcesmentioning

confidence: 99%

“…Similarly, Shires et al (2019) asked respondents to remember a disrupted episode. With the absence of passengers' data, a different stream of research simulated passengers' behaviour (Cats & Jenelius, 2014;Leng & Corman, 2020;Paulsen et al, 2021). Despite simulation-based works are not based on passengers' data, we reported them in Table 1 (see column Passenger Dataset), since their methodology to study behaviour during disturbances is comparable to the literature.…”

Section: Data Sourcesmentioning

confidence: 99%

How different network disturbances affect route choice of public transport passengers. A descriptive study based on tracking

Marra

Corman

2023

Expert Systems with Applications

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“…The search for the best path on stochastic multiservice transit networks SMSTN (defined below) is no simple task compared with the case of regular service networks. This paper intends to contribute to solving this problem in the case of intelligent transit systems (ITS), with automated vehicle location (AVL) and at-stop bus arrival time forecasting, where apps (trip planners) are available on mobile devices, advising travelers of the best path to their destination [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…According to [3] and focusing on schedule-based services (as motivated below), different studies pointed out the role of real-time information on path choice. For example, Reference [5] studied a case where the real-time information was relevant at the origin of the trip.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Optimal Travel Strategies in Intelligent Stochastic Transit Networks

Nuzzolo

Comi

2021

Information

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This paper addresses the search for a run-based dynamic optimal travel strategy, to be supplied through mobile devices (apps) to travelers on a stochastic multiservice transit network, which includes a system forecasting of bus travel times and bus arrival times at stops. The run-based optimal strategy is obtained as a heuristic solution to a Markovian decision problem. The hallmarks of this paper are the proposals to use only traveler state spaces and estimates of dispersion of forecast bus arrival times at stops in order to determine transition probabilities. The first part of the paper analyses some existing line-based and run-based optimal strategy search methods. In the second part, some aspects of dynamic transition probability computation in intelligent transit systems are presented, and a new method for dynamic run-based optimal strategy search is proposed and applied.

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Impacts of real-time information levels in public transport: A large-scale case study using an adaptive passenger path choice model

Cited by 13 publications

References 48 publications

Safety of People with Special Needs in Public Transport

Safety of People with Special Needs in Public Transport

How different network disturbances affect route choice of public transport passengers. A descriptive study based on tracking

Dynamic Optimal Travel Strategies in Intelligent Stochastic Transit Networks

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