ARTÍCULO
TITULO

A novel approach for assessing sustainable city logistics

Eftihia Nathanail    
Giannis Adamos    
Michael Gogas    

Resumen

City logistics is a key catalyst in the urban economy but, in parallel, urban road freight transport significantly affects the quality of life in the urban environment. Optimization of urban freight transport (UFT) can make an important contribution to the sustainability and livability of cities, conducing in the alleviation of traffic congestion and the mitigation of CO2 emissions and noise impacts. The detailed understanding of the causal effect of UFT measures on achieving sustainability of city logistics is the main scope of this paper. Life cycle sustainability assessment (LCSA) is adopted to assess selected UFT measures by advancing the research in life cycle analysis (LCA) to city logistics processes. Focusing on administrative/regulatory schemes, strongly related to city typology, a scenario is evaluated and two indices are estimated, one addressing the city (demand logistics sustainability index), and the second referring to logistics stakeholders (supply logistics sustainability index). The difference between the two indices, referred to as logistics gap, is also estimated.

 Artículos similares

       
 
Hao An, Ruotong Ma, Yuhan Yan, Tailai Chen, Yuchen Zhao, Pan Li, Jifeng Li, Xinyue Wang, Dongchen Fan and Chunli Lv    
This paper aims to address the increasingly severe security threats in financial systems by proposing a novel financial attack detection model, Finsformer. This model integrates the advanced Transformer architecture with the innovative cluster-attention ... ver más
Revista: Applied Sciences

 
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo    
The detection of fake news has emerged as a crucial area of research due to its potential impact on society. In this study, we propose a robust methodology for identifying fake news by leveraging diverse aspects of language representation and incorporati... ver más
Revista: Information

 
Zekâi Sen    
In the open literature, there are numerous studies on the normal and extreme (flood and drought) behavior of wet and dry periods based on the understanding of the standard precipitation index (SPI), which provides a series of categorizations by consideri... ver más
Revista: Water

 
Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin    
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha... ver más
Revista: Applied Sciences

 
Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Sebnem Ozer, Jeff Howe and Anwar Walid    
We introduce a novel multipath data transport approach at the transport layer referred to as ?Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion Control? (DDPG-MPCC), which leverages deep reinforcement learning to enhance co... ver más
Revista: Future Internet