Modelling bus bunching under variable transit demand using cellular automata

Enayatollahi, Fatemeh; Idris, Ahmed Osman; Atashgah, M. A. Amiri

doi:10.1007/s12469-019-00203-2

Cited by 17 publications

(7 citation statements)

References 42 publications

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“…These facts obviously hinder country's investment attractiveness, ease of doing business and free market concept. Lack of investments flow seriously damages growth potential compared to the level a country could reach, had there been a lower level of corruption (Chiabaut and Barcet, 2019;Nguyen et al, 2019;Bešinović and Goverde, 2019;Enayatollahi et al, 2019;Mohri and Akbarzadeh, 2019;Sun and Apland, 2019;Jevinger and Persson, 2019;Czioska et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Investigating the relation of GDP per capita and corruption index

Moiseev¹,

Mikhaylov²,

Varyash³

et al. 2020

JESI

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The paper is devoted to modelling the corruption perception index in panel data framework. As corruption index is bounded from below and above, traditional econometric multiple regression will produce a bad quality model. In order to correct that, we propose a mathematical framework for modelling bounded variables implementing a logistic function. It is shown that corruption is best explained by GDP per capita and all other major macroeconomic indicators cannot add any statistically significant improvement to the models' accuracy. Thus, we assume, that society wealthiness facilitates the reduction of corruption acts. Indeed, if some individual lives in a society that does not experiences almost any shortage of resources of whatever kind, the less interested this person is in getting wealthier by applying some corruption schemes. These methods are rather popular in less wealthy countries, where temptation to engage into corruption is higher, since it can drastically increase individual's utility function. Therefore, in this research we assert, that the growth of wealth in a society makes corruption recede and not the other way around (reducing corruption helps increase GDP per capita). However, the most counterintuitive finding of this research is the fact, that GDP per capita, adjusted by purchasing power parity, produces the model of a worse quality then just using plain GDP per capita. This fact can be tentatively explained by the flaws in the methodology of calculating these adjustments, since the basket of goods varies drastically across the countries.

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Section: Discussionmentioning

confidence: 99%

Investigating the relation of GDP per capita and corruption index

Moiseev¹,

Mikhaylov²,

Varyash³

et al. 2020

JESI

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“…Delgado et al (2012) estimate that boarding limits can foster the benefits of holding strategies when applied simultaneously, particularly in the case of highfrequency and high-demand services, requiring fewer and shorter holding times to restore service regularity and travel comfort. Boarding limits implemented as a sole (isolated) measure were also found to be effective in reducing headway variability and improving travel times (Zhao et al 2016;Enayatollahi et al 2019). Saw et al (2019) conclude that noboarding policies perform favorably in mitigating the bus bunching when compared against holding strategies in busy periods, but contrarily-backfire during low-demand periods (by imposing excessive waiting times) when holding is a more advantageous solution.…”

Section: Literature Reviewmentioning

confidence: 98%

Mitigating bus bunching with real-time crowding information

Kucharski

Cats

2022

Transportation

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A common problem in public transport systems is bus bunching, characterized by a negative feedback loop between service headways, number of boarding passengers and dwell times. In this study, we examine whether providing real-time crowding information (RTCI) at the stop regarding the two next vehicle departures can stimulate passengers to wait for a less-crowded departure, and thus alleviate the bunching effect. To this end, we leverage on results from own stated-preference survey and develop a boarding choice model. The model accounts for the presence of RTCI and is implemented within dynamic public transport simulation framework. Application to the case-study model of a major bus corridor in Warsaw (Poland) reveals that RTCI can induce a significant probability (30–70%) of intentionally skipping an overcrowded bus and waiting for a later departure instead. This behaviour, in turn, results in significantly lower vehicle headway and load variations, without deteriorations in total waiting utility. Overall, journey experience improves by 6%, and crucially—the prevalence of denial-of-boarding and excessive on-board overcrowding is substantially reduced, by ca. 40%. Results of our study indicate that the willingness to wait induced by RTCI can be a potential demand management strategy in counteracting bunching, with benefits already attainable at limited RTCI response rates.

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“…( 2021 ) Feedback loop based on real-time crowding information Extended towards multiple-origins bus operation Enayatollahi et al. ( 2019 ) Cellular automata Headway-based bunching index is proposed Moreira-Matias et al. ( 2016 ) Automatic control framework using a combination of various machine learning methods Case Study for Porto (Portugal) over a period of 1 year Nguyen et al.…”

Section: Appendixmentioning

confidence: 99%

Robustness and disturbances in public transport

Voß

Xie

2022

Public Transp

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Network-based systems are at the core of our everyday life. Whether it is electronic networking, electricity grids or transportation, users expect the networks to function properly and provide a feeling of safety and security. However, there may be disturbances. In this paper, we consider disturbances in the context of public transportation. The focus in this respect is on public transport planning and operations. To classify and cope with disturbances, one can find many ideas, including robustness, resilience, vulnerability, disruption mitigation or delay management. We survey related streams of literature and put them into perspective. As a major insight we show that different strands of literature exist that may benefit from becoming better connected and intertwined. Together with recent advances in information technology and solution methods, more integrated problem settings incorporating robustness and disturbances can play a major role in future planning and operations.

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Modelling bus bunching under variable transit demand using cellular automata

Cited by 17 publications

References 42 publications

Investigating the relation of GDP per capita and corruption index

Investigating the relation of GDP per capita and corruption index

Mitigating bus bunching with real-time crowding information

Robustness and disturbances in public transport

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