With the acceleration of urbanization and the widespread adoption of sustainable mobility concepts, two-wheeled electric vehicles (E2Ws) have emerged as a green transportation alternative, playing an increasingly vital role in residents’ daily commutes. However, existing community parking facilities for E2Ws face challenges such as insufficient capacity, uneven distribution of charging equipment, and inadequate maintenance, significantly impacting residents’ quality of life and commuting experience. This study proposes an innovative design methodology for community E2W parking facilities by integrating the Kano-QFD and FBS-TRIZ models. First, the Kano model is employed to classify and prioritize user demands, which are subsequently translated into design parameters through Quality Function Deployment (QFD). Second, the Function-Behavior-Structure (FBS) model is utilized to map and transform functional requirements, while TRIZ theory resolves design conflicts. The results demonstrate that this methodology effectively enhances parking capacity, charging accessibility, and management efficiency, significantly improving user experience and providing novel insights for the sustainable development of smart communities.

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Research on the Design of Community Two-Wheeled Electric Vehicle Parking Facilities Based on Kano-QFD and FBS-TRIZ Models

  • Junnan Ye,
  • Lu Zhiyong

摘要

With the acceleration of urbanization and the widespread adoption of sustainable mobility concepts, two-wheeled electric vehicles (E2Ws) have emerged as a green transportation alternative, playing an increasingly vital role in residents’ daily commutes. However, existing community parking facilities for E2Ws face challenges such as insufficient capacity, uneven distribution of charging equipment, and inadequate maintenance, significantly impacting residents’ quality of life and commuting experience. This study proposes an innovative design methodology for community E2W parking facilities by integrating the Kano-QFD and FBS-TRIZ models. First, the Kano model is employed to classify and prioritize user demands, which are subsequently translated into design parameters through Quality Function Deployment (QFD). Second, the Function-Behavior-Structure (FBS) model is utilized to map and transform functional requirements, while TRIZ theory resolves design conflicts. The results demonstrate that this methodology effectively enhances parking capacity, charging accessibility, and management efficiency, significantly improving user experience and providing novel insights for the sustainable development of smart communities.