Exploring the potential of using real-time traveler data in public transport disturbance management

Jevinger, Åse; Persson, Jan

doi:10.1007/s12469-019-00209-w

Cited by 12 publications

(6 citation statements)

References 47 publications

(82 reference statements)

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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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“…Coping with disturbances based on efficient information management is in the focus of Jevinger and Persson ( 2020 , 2019 ). In a specific project related to disturbance management and information availability in public transport, the authors provide an outline of a prototypical information management solution focusing on a specific case in Sweden.…”

Section: Basic Conceptsmentioning

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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“…Surveys are recognized as an effective source of alternative information on the behavior of the economic system at short-term time intervals, for example, in public transportation (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;Heyken Soares et al, 2019;Habib and Hasnine, 2019;Malucelli and Tresoldi, 2019;Downward et al, 2019;Candelieri et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Triple bottom line and corporate social responsibility performance indicators for Russian companies

Varyash¹,

Mikhaylov²,

Moiseev³

et al. 2020

JESI

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develops the 3-overlapping-circles sustainability model in the context of CSR performance indicators. The data in this study represents scores of 34 major Russian companies, which operate domestically and abroad, in particular, in developing regions like Africa. The mathematical methods like regression has approved the link between environmental innovations and ESG level. It is the first empirical research using this approach for analysis of CSR performance indicators in Russia, because the same data was unavailable before. The paper suggests that environmental innovations and ESG level is linked to Russian largest companies. If business is stimulated towards environmental innovations and R&D. It gives more projects and make the ESG level higher. Paper proposes the concept of TBL in Russian companies for increasing level of ESG and business performance (EBITDA). Understanding how 3-overlapping-circles model implementation can improve CSR performance indicators is a significant question. In addition, we analyzed regression of CSR performance indicators in 2018 year for Russian large companies to find the optimal solution.

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Exploring the potential of using real-time traveler data in public transport disturbance management

Cited by 12 publications

References 47 publications

Investigating the relation of GDP per capita and corruption index

Investigating the relation of GDP per capita and corruption index

Robustness and disturbances in public transport

Triple bottom line and corporate social responsibility performance indicators for Russian companies

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