Linking energy and transport models to support policy making

Gerboni, Raffaella; Grosso, Daniele; Carpignano, Andrea; Chiara, Bruno Dalla

doi:10.1016/j.enpol.2017.09.045

Cited by 31 publications

(16 citation statements)

References 27 publications

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“…Furthermore, Szász (2011), He et al (2011) and Tartakovsky et al (2013) [16,24,25] estimate energy use from urban passenger mobility adopting a bottom-up approach, based on detailed data, such as energy consumption studies, using input variables such as average travel distance, average speed, average occupancy per vehicle, final fuel consumption per trip and quantity of trips per mode of transport, but none of them has used local data, which makes difficult clearly describe the use of energy in the urban environment, crucial for planning urban mobility with better energy efficiency. Gerboni et al (2017) [26] provide some preliminary results of integrated modeling between energy use and transport through the bottom-up models. From the studies presented in Table 1, one can conclude that the decision to adopt a specific approach to meet the needs of each region reflects the level of detail of the model and the sensitivity analysis of the results.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Tier Approach to Estimate Energy Efficiency in Urban Passenger Mobility

Gonçalves

Bandeira

Assis

et al. 2020

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Background: Recent studies evidence a lack of accurate methods to estimate energy efficiency in urban areas. This is due to the complex nature of obtaining wide range of activity and energy data from a single municipality, especially from developing countries, where data is usually scarce. Under these circumstances, this paper develops a method for estimating the energy efficiency in urban passenger mobility, considering three different levels of detail. The innovative factor is the use of a multi-tier approach to compare and adjust outputs. The method was applied in Sorocaba, Brazil, estimating a baseline of energy efficiency in this city. Results: Results show that energy efficiency varied from 0.67 passenger per kilometer/Mega Joule in 2013 to 0.70 passenger per kilometer /Mega Joule in 2017, which are consistent with the Brazilian passenger transport energy efficiency. Conclusions: The method proved to be an important mechanism for benchmarking purposes and for the decision-making process on transport investments. Moreover, it can be applied in cities from countries with different cultural and economic contexts.

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Section: Literature Reviewmentioning

confidence: 99%

A Multi-Tier Approach to Estimate Energy Efficiency in Urban Passenger Mobility

Gonçalves

Bandeira

Assis

et al. 2020

Preprint

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“…None of these used local data, making it difficult to clearly outline the energy use in urban environments, which is an important activity in urban mobility planning considering zero emissions. Finally, Gerboni et al (2017) [23] provided some preliminary results for integrated modeling of energy use and transport activity using bottom-up models.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multitier Approach to Estimating the Energy Efficiency of Urban Passenger Mobility

et al. 2020

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As society has experiences new modes of mobility in recent years, cities have planned to increase their energy efficiency as a way of reducing environmental impacts and promoting economic development. However, governments face difficulties in establishing mechanisms to determine the best actions in the management of urban mobility regarding energy efficiency and to elaborate a ranking of cities based on energy efficiency in order to better allocate resources. This is due to the complex nature of obtaining a wide range of activity and energy data from a single municipality, especially in data-scarce regions. This paper develops and applies a model for estimating the energy efficiency of urban mobility that is applicable to different contexts and backgrounds. The main contribution of the article is the use of a multitier approach to compare and adjust outputs, considering different transport configurations and data sets. The results indicate that variations in vehicle occupancy and individual motorized transport rates have a significant impact on energy efficiency, which reached 0.70 passenger-kilometers/MJ in Sorocaba, Brazil. However, as the use of electric vehicles increases in this city, this scenario is expected to change. Additionally, the method has been proven to be an important mechanism for benchmarking purposes and for the decision-making process for transport investments.

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“…39 Only a few system studies have been published so far, 6,40 whereby a new challenge in this area is to couple the previously separate electricity and transport sectors. [41][42][43] Analyses for Germany containing both biofuels and electrofuels have been performed for singular years by Hansen et al 44 However, extensive system modelling studies focusing on a transport transition over time with a high level of detail on both biofuels and electrofuels as well as including both GHG emissions and costs are not known to exist to the authors.…”

Section: Introductionmentioning

confidence: 99%