ARTÍCULO
TITULO

New framework for monitoring urban mobility in European cities

Kukely György    
Aba Attila    
Fleischer Tamás    

Resumen

The Europe 2020 strategy (COM (2010) 2020 final) for smart, inclusive, and sustainable growth highlighted the importance of an innovative and sustainable European transport system for the future development of the Union. It also stressed the importance of addressing urban dimension of transport. A key issue in the changes is to understand that urban mobility must be handled as a part of a wider shift: namely within the sustainable city concept. Urban mobility have to serve Europe?s urban areas develop along a more sustainable path (both environmentally and financially) and that EU goals for a competitive and resource-efficient European area are met. While the integrative target is clear, practical elements of the urban mobility development and decision making time-to-time reserve earlier approaches. The integrated decision making at local, regional, national or EU level have to be helped with a similarly coordinated data, statistical, monitoring and evaluation system of urban transport. This paper?s aim is to set up a framework for monitoring urban mobility by a criteria set which helps determining indicators from general objectives through urban (mobility) objectives. Indicators set up this way should be suitable to benchmark and compare progress of urban areas across the EU, paying special attention to integrated approach while defining the methodology.

 Artículos similares

       
 
Agostinho Agra and Jose Maria Samuco    
Given a social network modelled by a graph, the goal of the influence maximization problem is to find k vertices that maximize the number of active vertices through a process of diffusion. For this diffusion, the linear threshold model is considered. A n... ver más
Revista: Information

 
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

 
Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis    
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ... ver más

 
Yihu Zhou, Haiming Chen and Zhibin Dou    
In satellite networks, existing congestion resolution methods do not consider the predictability and stability of paths, leading to frequent path switches and high maintenance costs. In this regard, we propose a novel congestion resolution approach, name... ver más
Revista: Future Internet

 
Aljawharah A. Alnaser, Ali Hassan Ali, Haytham H. Elmousalami, Ahmed Elyamany and Ahmed Gouda Mohamed    
This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research?s approach delves into the intricate correlation between key success factors (KSFs) and su... ver más
Revista: Buildings