An FCM Approach to Achieve Near Zero-CO2 Urban Mobility: The Case of Larissa, Greece

Kokkinos, Konstantinos; Nathanail, Eftihia

doi:10.1007/978-3-031-23721-8_133

Cited by 1 publication

(1 citation statement)

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“…FCM works well for dealing with domains where there are inherent uncertainties when combined with descriptive tools. According to [8][9][10][11], FCM has been applied in a variety of sectors, including energy, management, climate change, medicine, engineering, and social studies. In this study, transportation scenarios that support both quantitative and qualitative aspects of sustainable urban mobility are evaluated using FCM.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Cognitive Map and PESTEL-Based Approach to Mitigate CO2 Urban Mobility: The Case of Larissa, Greece

Kokkinos

Nathanail

2023

Sustainability

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The CO2 reduction promise must be widely adopted if governments are to decrease future emissions and alter the trajectory of urban mobility. However, from a long-term perspective, the strategic vision of CO2 mitigation is driven by inherent uncertainty and unanticipated volatility. As these issues emerge, they have a considerable impact on the future trends produced by a number of exogenous and endogenous factors, including Political, Economic, Social, Technological, Environmental, and Legal aspects (PESTEL). This study’s goal is to identify, categorize, and analyze major PESTEL factors that have an impact on the dynamics of urban mobility in a rapidly changing environment. For the example scenario of the city of Larissa, Greece, a Fuzzy Cognitive Map (FCM) approach was employed to examine the dynamic interactions and behaviors of the connected criteria from the previous PESTEL categories. An integrative strategy that evaluates the interaction of linguistic evaluations in the FCM is used to include all stakeholders in the creation of a Decision Support System (DSS). The methodology eliminates the uncertainty brought on by a dearth of quantitative data. The scenarios in the study strands highlight how urbanization’s effects on sustainable urban transportation and the emergence of urban PESTEL actors impact on CO2 reduction decision-making. We focus on the use case of Larissa, Greece (the city of the CIVITAS program), which began putting its sustainable urban development plan into practice in 2015. The proposed decision-making tool uses analytics and optimization algorithms to point responsible authorities and decision-makers in the direction of Larissa’s sustainable urban mobility and eventually the decarbonization of the urban and suburban regions.

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Section: Introductionmentioning

confidence: 99%