The Environmental Risks Related to Visitors' Trips to Festivals: Transport Planning for Sustainability

Henke, Ilaria; Pagliara, Francesca; Biggiero, Luigi; Russo, Lucía

doi:10.1109/eeeic/icpseurope49358.2020.9160825

Cited by 3 publications

(5 citation statements)

References 31 publications

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“…Table 9 presents a summary of the results of the algorithm operation. The energy expenditure was determined according to the criterion function described in the mathematical model (8) based on the pheromone value indicating the minimum travel route of all vehicles (15). Experimentally, the number of iterations of the algorithm was set to 200 repetitions, and the population size was set to 50 ants.…”

Section: Discussion Of the Results For The Sensitivity Analysis Of Th...mentioning

confidence: 99%

“…The energy expenditure was generated with three Renault vehicles and one DAF vehicle for a total route of 103 km. Results from Table 9 and 11 are the results generated in the last iteration of the algorithm and computed in accordance with criterion function (8) for the chromosome characterized by the maximum adaptation function (17). For small values of the crossover parameter (tests 1, 2), the genetic algorithm replicated the results of the ant colony algorithm because the population was not dominated by better individuals resulting from the crossover process.…”

Section: Discussion Of Results For the Sensitivity Analysis Of The Ge...mentioning

confidence: 99%

“…The energy expenditure resulting from the transportation tasks was determined as a criterion. Energy expenditure considers the energy used to overcome aerodynamic forces of drag and rolling resistance: (8) where:…”

Section: Energy Expenditure As a Criterionmentioning

confidence: 99%

“…Unfortunately, compared to conventional vehicles, electric vehicles require recharging at charging stations due to their limited battery capacity. This implies planning sustainable transport infrastructure in many aspects, including environmental, social, and economic aspects [8]. Moreover, the use of electric vehicles determines the development of modern infrastructure, including charging stations [9].…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises

Izdebski

Jacyna

2021

Energies

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The article deals with the decision problems of estimating the energy expenditure of low-emission fleets in urban service companies due to environmental safety. One of the most important problems of today’s transport policy of many city authorities is the ecological safety of its inhabitants. The basic measures are aimed at banning high-emission vehicles from city centers and promoting the introduction of zero-emission vehicles, such as electric or hybrid cars. The authors proposed an original approach to the decision model, in which the energy expenditure from the use of electric vehicles was defined as a criterion function. The boundary conditions took into account limitations typical of an electric vehicle, e.g., maximum range or battery charging time. To solve the problem, the authors proposed an efficient hybrid algorithm based on ant colony algorithm and genetic algorithm. The verification was made for the example of a utility company serving a medium-sized city in the eastern part of Poland.

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Section: Discussion Of the Results For The Sensitivity Analysis Of Th...mentioning

confidence: 99%

Section: Discussion Of Results For the Sensitivity Analysis Of The Ge...mentioning

confidence: 99%

Section: Energy Expenditure As a Criterionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises

Izdebski

Jacyna

2021

Energies

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“…In transport planning, the concept of sustainable transport infrastructure is very hinged on different fields. As highlighted by Henke et al [4] a transport infrastructure to ensure sustainable development should be: (i) environmentally sustainable (e.g., produce benefits on greenhouse gas emission, pollutant emission and noise emission [5]); (ii) socially sustainable, improving quality of life [6] and social equity [7] and (iii) economically viable [8].…”

Section: Introduction and Motivationsmentioning

confidence: 99%

Strong Sustainability in Public Transport Policies: An e-Mobility Bus Fleet Application in Sorrento Peninsula (Italy)

et al. 2020

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Sustainability can be defined as the capacity to satisfy current needs without compromising future generations. Sustainable development clashes with the transport sector because of the latter’s high fossil fuels usage, consumption of natural resources and emission of pollutant and greenhouse gases. Electric mobility seems to be one of the best options to achieve both the sustainability goals and the mobility needs. This paper critically analysed weaknesses, strengths and application fields of electric mobility, proposing a real case application of an e-mobility bus fleet in Sorrento peninsula (Italy). The aim and the originality of this research was to propose a public transport design methodology based on a “strong sustainability” policy and applied to a real case study. To be precise, the renewing of the “old” bus fleet with a diesel plug-in hybrid one charged by a photovoltaic system was proposed, aiming to both improve environmental sustainability and perform an investment return for a private operator in managing the transport service. The proposed case study is particularly suitable because the peculiar morphology of the Sorrento peninsula in Italy does not allow other types of public transport services (e.g., rail, metro). Furthermore, this area, rich in UNESCO sites, has always been an international tourist destination because of the environment and landscape. Estimation results show that the new e-mobility bus service will be able to reduce the greenhouse gases emissions up to the 23%, with a financial payback period of 10 years for a private investor.

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Monitoring of the Operating Parameters of Railway Systems through the Use of Smartphone Detection Technologies

Pariota

Costanzo

et al. 2021

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Syst

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The Environmental Risks Related to Visitors' Trips to Festivals: Transport Planning for Sustainability

Cited by 3 publications

References 31 publications

An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises

An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises

Strong Sustainability in Public Transport Policies: An e-Mobility Bus Fleet Application in Sorrento Peninsula (Italy)

Monitoring of the Operating Parameters of Railway Systems through the Use of Smartphone Detection Technologies

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