Research Article

Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model

Table 1

Evaluation index for customer satisfaction of urban rail transit.

FactorAttributeReferences

AccessibilityAccess to metro stations (C1)Brons et al.[32], de Oña et al.[33]
The smooth functioning of the tollgate (C2)Aydin et al.[1]
Access and condition of escalators (C3)Nathanail[34], Brons et al.[32]
Ticketing serviceVending machines (C4)Vuk[33], Aydin [35]
Ticketing system (C5)Aydin et al.[1], Geetika [8]
Information service systemThe usage of modern equipment in station services (C6)Aydin et al.[1], Nathanail[34]
The usage of modern equipment inside the train services (C7)Aydin et al.[1], Machado-León et al.[12]
Announcements in stations and trains during and after breakdowns (C8)Aydin et al.[1], Litman[2]
station comfortCleanliness of metro stations (C9)de Oña et al.[13]
Lighting of the stations (C10)Aydin et al.[1]
Comfort level in stations (C11)Aydin et al.[1], Garrido and De[27]
train comfortCleanliness inside the trains (C12)Aydin et al.[1], dell’Olio et al.[36]
Noise level and vibration during the journey (C13)Brons et al.[23]
Air-conditioning system inside the trains (C14)Aydin et al.[1], Geetika [8]
Train crowding (C15)Machado-León et al.[12], Vuk[35]
safetySafety at stations (C16)Aydin et al.[1], Nathanail[34]
Sense of security against accidents while traveling (C17)dell’Olio et al.[13], Aydin [35]
timeWaiting time for metro before departure (C18)Aydin et al.[1], Gerçek et al.[37]
Journey time (C19)Shen et al.[21], Yilmaz et al.[22]
Itinerary accuracy (C20)Aydin et al.[1], Chou et al.[20]