TY - JOUR
T1 - Fermatean fuzzy based Quality Function Deployment methodology for designing sustainable mobility hub center
AU - Seker, Sukran
AU - Aydin, Nezir
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/2
Y1 - 2023/2
N2 - Mobility Centers can provide integrated different options of mobility and intermodal services, and their associated facilities and all supporting technologies. Mobility hub centers are centrally located that enable people to go where they want to go without a private vehicle by combining many options such as walking, public transportation, bike sharing and car sharing. A well-designed mobility hub reduces GHG emissions by reducing vehicle miles within the city and provides accessible space for transferring of passengers from one mode of transport to another. To fulfill these aims, mobility hubs must be in the center and technologically well designed so that all individuals in the society can easily access it. Mobility hubs should also be able to increase or improve the mobility of passengers, and in turn ensure the satisfaction of all citizens. Due to the importance of passenger requirements (PRs) and sustainable design requirements (SDRs), to satisfy PRs while designing a mobility hub, in this study, a Fermatean Fuzzy based Quality Function Deployment (QFD) methodology is developed and applied to determine PRs and SDRs to satisfy PRs while designing a mobility hub in Kadikoy/Istanbul. As a relatively new extension of fuzzy sets, Fermatean Fuzzy Set (FFS) is used, in this study, for judgements to model fuzziness and uncertainty more extensively. According to results, the most important SDR to design mobility hub is "Mobility as a service (MaaS)"while the second and third most important SDRs are "Increase smartphone connectivity to create awareness of multi-modal options"and "Increase green spaces in the terminal". This study's results can support authorities in making strategic decisions in favor of future mobility hub designs. (c) 2023 Elsevier B.V. All rights reserved.
AB - Mobility Centers can provide integrated different options of mobility and intermodal services, and their associated facilities and all supporting technologies. Mobility hub centers are centrally located that enable people to go where they want to go without a private vehicle by combining many options such as walking, public transportation, bike sharing and car sharing. A well-designed mobility hub reduces GHG emissions by reducing vehicle miles within the city and provides accessible space for transferring of passengers from one mode of transport to another. To fulfill these aims, mobility hubs must be in the center and technologically well designed so that all individuals in the society can easily access it. Mobility hubs should also be able to increase or improve the mobility of passengers, and in turn ensure the satisfaction of all citizens. Due to the importance of passenger requirements (PRs) and sustainable design requirements (SDRs), to satisfy PRs while designing a mobility hub, in this study, a Fermatean Fuzzy based Quality Function Deployment (QFD) methodology is developed and applied to determine PRs and SDRs to satisfy PRs while designing a mobility hub in Kadikoy/Istanbul. As a relatively new extension of fuzzy sets, Fermatean Fuzzy Set (FFS) is used, in this study, for judgements to model fuzziness and uncertainty more extensively. According to results, the most important SDR to design mobility hub is "Mobility as a service (MaaS)"while the second and third most important SDRs are "Increase smartphone connectivity to create awareness of multi-modal options"and "Increase green spaces in the terminal". This study's results can support authorities in making strategic decisions in favor of future mobility hub designs. (c) 2023 Elsevier B.V. All rights reserved.
KW - Digitalization
KW - Fermatean fuzzy sets
KW - Qfd
KW - SDRs
KW - Sustainable cities
KW - Sustainable mobility hub center
UR - http://www.scopus.com/inward/record.url?scp=85147117200&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2023.110001
DO - 10.1016/j.asoc.2023.110001
M3 - Article
AN - SCOPUS:85147117200
SN - 1568-4946
VL - 134
JO - Applied Soft Computing
JF - Applied Soft Computing
M1 - 110001
ER -