Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Infrastructures  /  Vol: 6 Par: 12 (2021)  /  Artículo
ARTÍCULO
TITULO

Public Bus Transportation System Environmental Impact Projections Regarding Different Policy Scenarios?A LCA Study

Michelle Leichter    
Isadora Hackenhaar and Ana Passuello    

Resumen

Urban activities, such as transportation, are responsible for a large portion of energy-related CO2 emissions. As the need for sustainable urban development increases, decision-makers embrace Life Cycle Assessment (LCA) as a reliable tool capable of generating scientifically based information on environmental impacts. However, there is still a lack of an analysis standard regarding the particularities of urban systems. Therefore, this research aims to define current and future environmental profiles, considering a case study of the public transport system in Porto Alegre, considering specificities of the urban context and different public policy scenarios through LCA. These results show that, although the transportation system management relies on the municipalities, the higher significance of environmental impacts depend on a national policy for using biodiesel in the diesel sold, which could lead to an increase of, for example, up to 9.4% of CO2 emissions from 2017 (baseline) to 2030. Finally, it is perceivable that to conduct a LCA to support decision-making in public urban services, a detailed approach is needed considering that technological variables interact with the territorial context and policy changes.

 Artículos similares

       
 
Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho    
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val... ver más
Revista: Urban Science

 
Lin Lin, Tianyi Chen     Pág. 1 - 17
Daily travel distance in urban China has substantially increased. The spatial layout of the 15-minute neighborhood, which supports local living and encourages walking and biking, was detailed in the Urban Residential District Planning and Design Standard... ver más

 
Wenchao Shen, Liang Zou, Ruisheng Deng, Hongyu Wu and Jiabin Wu    
To investigate the issue of multi-entry bus priority at intersections, an intelligent priority control method based on deep reinforcement learning was constructed in the bus network environment. Firstly, a dimension reduction method for the state vector ... ver más
Revista: Applied Sciences

 
Amirreza Nickkar and Young-Jae Lee    
Recent advancements in technology have increased the potential for demand-responsive feeder transit services to enhance mobility in areas with limited public transit access. For long rail headways, feeder bus network algorithms are straightforward, as th... ver más
Revista: Algorithms

 
Xu Chen, Zihe Wang and Xuan Di    
This paper aims to leverage Twitter data to understand travel mode choices during the pandemic. Tweets related to different travel modes in New York City (NYC) are fetched from Twitter in the two most recent years (January 2020?January 2022). Building on... ver más
Revista: Information