An investigation of route-choice in integrated public transport networks by risk-averse users

Downward, Anthony; Chowdhury, Subeh; Jayalath, Chapa

doi:10.1007/s12469-019-00194-0

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…Indeed, for a bureaucrat it is much easier to resist the temptation to engage into some act of corruption if his utility from the bribe is not high, what can happen either if the punishment is severe enough, or bureaucrat's value for money is not that high. (Heyken Soares et al, 2019;Habib and Hasnine, 2019;Malucelli and Tresoldi, 2019;Downward et al, 2019;Candelieri 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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“…Downward et al ( 8 ) examined transit customers’ route choice behavior through an SP survey in Auckland, New Zealand, during a network-wide transit routes modification exercise. They found that customers prefer direct routes over ones that involve transfers, unless the service is reliable and transfer wait time is short.…”

Section: Literature Reviewmentioning

confidence: 99%

Transit Users’ Mode Choice Behavior During Light Rail Transit Short-Term Planned Service Disruption

Asim¹,

Weiss

Kattan

et al. 2021

Transportation Research Record

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Planned service disruptions (PSDs) of light rail transit (LRT) improve service reliability, extend infrastructure’s life, and reduce the frequency and impact of unplanned service disruption caused by system failure. However, the literature on the impact of LRT PSDs on transit customers’ travel mode choice behavior is scarce relative to that on unplanned service disruptions. This study aimed to investigate transit customers’ mode choice behavior in response to short-term LRT PSD in the City of Calgary, AB, Canada. A stated preference survey was designed to gather respondents’ mode choices under a set of hypothetical scenarios. A mixed multinomial logit model was estimated using stated preference data. Findings of this study include: (i) stated LRT ridership dropped by about 35% during the examined short-term LRT service disruption; (ii) transit customers who hold a LRT payment pass (monthly, subsidized seniors, low income, and students) and are frequent weekend LRT users are more likely to stay with the LRT mode in case of short-term PSD; (iii) the value of time for transit users during short-term LRT PSD was found to be 11.76 $/h and 13.0 $/h for travel time (excluding wait time) and wait time during travel, respectively. A sensitivity analysis was conducted on key variables to predict choice probabilities of transit alternatives. Recommendations are made to improve Calgary Transit customers’ experience during short-term LRT PSDs.

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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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An investigation of route-choice in integrated public transport networks by risk-averse users

Cited by 4 publications

References 27 publications

Investigating the relation of GDP per capita and corruption index

Investigating the relation of GDP per capita and corruption index

Transit Users’ Mode Choice Behavior During Light Rail Transit Short-Term Planned Service Disruption

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

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