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

Sustainability

RodrigoRodrigues de Freitas¹  RenataAlbergaria de Mello Bandeira²  IsabelaRocha Pombo Lessi de Almeida³  Márciode Almeida D’Agosto³  DanielNeves Schmitz Gonçalves³  MarianeGonzalez da Costa³  GeorgeVasconcelos Goes³  TássiaFaria de Assis³ 

[1] Federal Center of Technological Education Celso Suckow da Fonseca, Rio de Janeiro 999074, Brazil;Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 999074, Brazil;Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil;

关键词: energy efficiency;    energy intensity;    transport activity;    urban mobility;    passenger transport;    carbon emission;   

DOI  :  10.3390/su122410263

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown