Uncertainty and Sensitivity Analysis of National Road Transport Inventories Compiled with COPERT 4

Kioutsioukis, Ioannis; Kouridis, Chariton; Gkatzoflias, Dimitrios; Dilara, Panagiota; Ntziachristos, Leónidas

doi:10.1016/j.sbspro.2010.05.181

Cited by 22 publications

(7 citation statements)

References 2 publications

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“…For the road transport emission factors reported here, an uncertainty analysis for the particle mass-based emission has been carried out. This analysis shows an uncertainty between 10 and 20 %, depending on the quality of the country's statistics (Kioutsioukis et al, 2010). Particulate number emission factors were not included in the uncertainty evaluation of the above-mentioned study.…”

Section: Emissions In Europe and Their Associated Uncertaintiesmentioning

confidence: 99%

Modelling the dispersion of particle numbers in five European cities

Kukkonen¹,

Karl²,

Keuken³

et al. 2015

Preprint

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Abstract. We present an overview of the modelling of particle number concentrations (PNC's) in five major European cities, namely Helsinki, Oslo, London, Rotterdam and Athens, in 2008. Novel emission inventories of particle numbers have been compiled both on urban and European scales. We use atmospheric dispersion modelling for PNC's in the five target cities and on a European scale, and evaluate the predicted results against available measured concentrations. The concentrations of PN in the selected cities were mostly influenced by the emissions originated from local vehicular traffic; however, in some of the cities, also harbour and airport activities were significant. The highest values of the predicted PNC's were higher in the megacities, London and Athens, and also in Rotterdam, whereas these were lower in Helsinki and Oslo. It was numerically evaluated that the influence of coagulation and dry deposition on the predicted PNC's was substantial for urban background in Oslo. The predicted and measured annual average PNC's in four cities agreed within approximately ≤ 36 % (measured as fractional biases), except for one traffic station in London. The indexes of agreement (IA) for the comparisons of hourly measured and predicted time-series in Oslo and Helsinki ranged from 0.75 to 0.79.

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Section: Emissions In Europe and Their Associated Uncertaintiesmentioning

confidence: 99%

Modelling the dispersion of particle numbers in five European cities

Kukkonen¹,

Karl²,

Keuken³

et al. 2015

Preprint

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show abstract

“…On the contrary, it has been observed that both, average speed and traffic situation models tend to overestimate NOx emissions (Smit et al, 2010). Given this particular issue, compiling a realistic traffic emission inventory is ultimately complex due to the large uncertainty levels regarding emission models (Kioutsioukis et al, 2004(Kioutsioukis et al, , 2010Pujadas et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Comparison of road traffic emission models in Madrid (Spain)

Borge¹,

Miguel²,

Paz³

et al. 2012

Atmospheric Environment

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“…As regards the environmental performances of this mobility study, we have calculated the emissions of carbon dioxide of the three scenarios by using the Equations from 2 to 8. Pertinent emission factors have been adopted for evaluating the pollutant releases of each modality of transportation, as suggested in the software ©Copert, 4.10 release [42,44]. Buses data were scaled for the average number of passengers typically present in vehicles; the car-pooling data were defined by the car emission values divided by 2.5, which is the average number of passengers using the service in the same time; the motorcycle-pooling data were defined by the motorcycles emission data, divided by the two hypothesized number of passengers.…”

Section: Resultsmentioning

confidence: 99%

Pursuing softer urban mobility behaviors through game-based apps

Dio

Massa

Nucara

et al. 2020

Heliyon

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Cities are currently engaged through their urban policies in pushing people towards less environmentally impacting mobility modalities: therefore, cycling and walking are strongly promoted, especially by means of new and wider limited traffic and no-cars zones. In this paper, the effectiveness of the new smartphones and appsbased technologies in modifying the mobility behaviors of citizens towards more sustainable choices has been investigated. Specifically, the potential of a smartphone app, directly involving citizens by means of a game rewarding the most sustainable trips, has been tested on a university commuters' group. These latter, starting from their current mobility situation, were challenged by an enhanced scenario characterized by more restrictive and sustainable targets. Promising results have been obtained suggesting that game-based tools could be effectively used as urban policy interventions intended to obtain a more sustainable mobility.

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Uncertainty and Sensitivity Analysis of National Road Transport Inventories Compiled with COPERT 4

Cited by 22 publications

References 2 publications

Modelling the dispersion of particle numbers in five European cities

Modelling the dispersion of particle numbers in five European cities

Comparison of road traffic emission models in Madrid (Spain)

Pursuing softer urban mobility behaviors through game-based apps

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