Analysing passengers’ behaviours when boarding trains to improve rail infrastructure and technology

Oliveira, Luis; Fox, Catherine; Birrell, Stewart A.; Cain, Rebecca

doi:10.1016/j.rcim.2018.12.008

Cited by 47 publications

(29 citation statements)

References 28 publications

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“…In a study carried out in the United Kingdom, Oliveira (2019) reports that transporting such high volumes of passengers provides its own challenges. One factor that contributes to the perception of overcrowding in the railway sector is concentrated boarding, a phenomenon that occurs when passengers gather at points of access to station platforms, or near stairs.…”

Section: Resultsmentioning

confidence: 99%

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Mariz

Oliveira

Bueno

2020

Refas

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The city of São Paulo, the most developed metropolis in Brazil, has become an attractive global hub. It currently has a population of approximately 21 million inhabitants in the metropolitan region. In recent years there has been a substantial increase in the number of inhabitants, a fact that brings a direct correlation to the low rates of urban mobility. Passenger transport is no longer offered with quality, often operating with low levels of comfort, especially during peak hours. The purpose of the research is to measure the number of passengers per m2 in the CPTM train operations, Coral line, in order to verify if the service is offered with quality to its users. The mathematical modeling used was the calculation of fleet sizing. The survey data indicated that the levels are on average nine passengers per square meter, acceptable levels, but well below the standards of developed countries.

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Section: Resultsmentioning

confidence: 99%

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Mariz

Oliveira

Bueno

2020

Refas

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“…Soft measures can be very cost effective and as efficient in controlling dwell time. A major variable in the dwell time management equation is passenger behaviour (Oliveira et al, 2019;Barron, 2016;De Ana Rodriguez et al, 2016;Harris, 2006;Wiggenraad, 2001). Therefore, platform communication systems that encourage passengers to pass along platforms to get on less crowded carriages of an arriving train have been proposed by Olaverri-Monreal et al (2018) and Moncrieff (2015).…”

Section: Dwell Time Reduction Strategiesmentioning

confidence: 99%

Social norms as a cost-effective measure of managing transport demand: Evidence from an experiment on the London underground

Offiaeli

Yaman

2021

Transportation Research Part A: Policy and Practice

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In an effort to cope with increasing passenger demand on its network, Transport for London (TfL) implemented in the second half of 2017 an experiment on one of its busiest metro train platforms. The platform surface was painted to highlight the exact location of the train doors once it comes to a full stop and to direct passengers to wait in parts of the platform that would not obstruct passengers from alighting from the train and leaving the platform. We estimate the effect of this intervention to change passenger behaviour on the platform on train waiting and delay times. We use different sets of assumptions about what the counterfactual change in waiting and delay times would have been in the absence of the intervention. Depending on the assumptions, we find that the intervention has reduced train waiting times between 0 and 6.6%. We also find that this reduction came about mainly through reducing delay times of trains once they are delayed which were cut by between 4.6% and 12.6%. The reductions are not evenly distributed throughout the day, but tend to occur during peak traffic hours. The value of the implied time savings per year are £156,000 at a cost of £25,000, amounting to a return of £6 per £1 investment. If the dwell time reduction could increase train frequency on the affected line by 1 train per hour, however, then TfL could save another £3.6 million.

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“…For instance, Szplett and Wirasinghe [9] and Wirasinghe and Szplett [10] investigated the impact of the distribution of passengers waiting at a station, and inferred dwell time models that take the station location into account (suburbs and central business district (CBD)). Oliveira et al [11] studied a given train station for evidence of concentrated boarding around the platform entrance and discussed their impact on dwell time. The impact of overcrowding and the difference among different vehicles was demonstrated in a study by Fritz [12].…”

Section: Modelling Of Dwell Timementioning

confidence: 99%

Investigating the Impact of Dwell Time on the Reliability of Urban Light Rail Operations

2020

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The present study investigates the determinants of vehicle dwell time at stations in urban light rail networks. Using data collected from an on-board automatic passenger counting system of the tramway network of the French city of Nantes over a long period, the study performs graphical and statistical analyses enabling the identification of cause-and-effect relationships of a number of attributes on the dwell time and its reliability. The results confirm the significance of the boarding and alighting passenger volumes, as well as of the on-board passenger loading, on the dwell time. Additional effects on dwell time are found from the vehicle type (low-or high-floor), the time of day (peak, off-peak, inter-peak) and the location of the station (city centre, proximity to points of interest). Also, it is found that operations are not symmetrical, and dwell times tend to be higher in one direction than the other of the same line. Finally, the results suggest that dwell time reliability is lower for stations located further from the starting terminal, or for stations located in the city centre. Keywords Dwell time Á Travel time reliability Á Urban light rail Á Graphical analysis Á Multiple linear regression Parts of this paper were previously presented at the 95th Annual Meeting of the Transportation Research Board and at the 8th International Congress on Transportation Research in Greece.

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Analysing passengers’ behaviours when boarding trains to improve rail infrastructure and technology

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 47 publications

References 28 publications

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Social norms as a cost-effective measure of managing transport demand: Evidence from an experiment on the London underground

Investigating the Impact of Dwell Time on the Reliability of Urban Light Rail Operations

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