Operational planning of public transit with economic and environmental goals: application to the Minneapolis–St. Paul bus system

Sun, Bixuan; Apland, Jeffrey

doi:10.1007/s12469-019-00199-9

Cited by 6 publications

(6 citation statements)

References 28 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

View full text Add to dashboard Cite

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“…For bike-sharing systems, Gámez-Pérez et al [131], in a network design problem, aimed at determining the number and location of stations and Wu et al [102] focused on creating a bike rebalancing scheduling plan using EVs. For buses, studies applied optimisation to design the main powertrain components of electric buses (fuel cell, electric motor, and battery) [120,129], for locating charging facilities [36,39,133], for network design (routes) and frequencies setting [56,57,81,118], fleet composition [81,122], and vehicle scheduling [81,119,123,132]. In rail systems, studies sought to determine station location [144] and to elaborate a dynamic operation plan for a ventilation control system in metro stations [138].…”

Section: B Environmental Variablesmentioning

confidence: 99%

“…portation utility [87]. As in the previous subsection, costs may represent operation [102,132], operators' [57,81], users' [81,143], agency's [143], transportation/travel [48,55,140], vehicle [120], external [57], generalised [55,87,133,145] or life cycle [36,114,122] costs. Also, some authors considered sustainability through emissions costs [102,145].…”

Section: B Environmental Variablesmentioning

confidence: 99%

A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility

Borchers,

Wittowsky,

Augusto Souza Fernandes

2024

IEEE Access

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Climate change is currently the biggest environmental threat, being the cities responsible for a significant impact on greenhouse gas emissions. In this sense, the transport sector is among the main causes for both emissions and the depletion of non-renewable resources. Considering this scenario, there is an appeal to build more accessible, smart, sustainable and energy-efficient cities, promoting energy transition in urban systems and increasing the quality of urban life. This review aims to analyse transport and urban mobility studies that employ optimisation techniques to achieve environmental, sustainability or climate change mitigation goals. After an overview regarding modelling aspects of how such goals were addressed, the nature of the objective functions, the perspectives considered, and the network application, such studies were classified into five areas and further detailed. The areas comprise: (i) planning and policy-making; (ii) environmental variables; (iii) demand and traffic management; (iv) technology and energy; and (v) nonspatial measures. In this sense, future research directions should include optimisation models that consider the social aspects of transport and the interests of passengers, operators and the community simultaneously, improve the modelling of environmental impacts to increase its robustness, and deal with large network problems.INDEX TERMS Climate change, Greenhouse gas (GHG) emissions, Optimisation, Passenger urban transport, Sustainable mobility.

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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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Operational planning of public transit with economic and environmental goals: application to the Minneapolis–St. Paul bus system

Cited by 6 publications

References 28 publications

Investigating the relation of GDP per capita and corruption index

Investigating the relation of GDP per capita and corruption index

A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility

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

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