In the context of sustainable development, urban mobility has gained increasing recognition as a significant component, owing to its influence on economic growth, environmental issues, and social welfare. As a result, there is a need to investigate the sustainable development of urban mobility, which is a crucial aspect of overall sustainable urban development. This study aims to explore the factors that influence the sustainable development of urban mobility in a fuzzy environment. Through expert consultation, seven factors that impact the development of sustainable urban mobility are identified. Additionally, three evaluation criteria, namely cost, safety, and environment, are chosen to assess these factors. The fuzzy hierarchical analysis process (FAHP) is employed to examine the criteria and options, with a specific focus on the Calabria Region in Southern Italy as a case study. The findings highlight the significance of safety among the evaluated criteria. Moreover, intensifying the integration of intelligent road systems and adopting novel technologies to control traffic (A4) emerged as the most crucial choices to expedite sustainable development in the Calabria Region.
Evaluating determinants of sustainable urban mobility development using the fuzzy AHP method: A case study of the Calabria Region, Southern Italy
Haghshenas, Sina Shaffiee
;Guido, Giuseppe;Haghshenas, Sami Shaffiee;Astarita, Vittorio;
2025-01-01
Abstract
In the context of sustainable development, urban mobility has gained increasing recognition as a significant component, owing to its influence on economic growth, environmental issues, and social welfare. As a result, there is a need to investigate the sustainable development of urban mobility, which is a crucial aspect of overall sustainable urban development. This study aims to explore the factors that influence the sustainable development of urban mobility in a fuzzy environment. Through expert consultation, seven factors that impact the development of sustainable urban mobility are identified. Additionally, three evaluation criteria, namely cost, safety, and environment, are chosen to assess these factors. The fuzzy hierarchical analysis process (FAHP) is employed to examine the criteria and options, with a specific focus on the Calabria Region in Southern Italy as a case study. The findings highlight the significance of safety among the evaluated criteria. Moreover, intensifying the integration of intelligent road systems and adopting novel technologies to control traffic (A4) emerged as the most crucial choices to expedite sustainable development in the Calabria Region.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


