Open AccessMODELLING PEDESTRIAN LEVEL OF SERVICE ON SIDEWALKS WITH MULTI-FACTORS BASED ON DIFFERENT PEDESTRIAN FLOW RATES
Author(s) -
Shinan Shu,
Yang Bian,
Lin Zhao,
Jian Rong,
Xiaoming Liu
Publication year - 2022
Publication title -
transport
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 31
eISSN - 1648-4142
pISSN - 1648-3480
DOI - 10.3846/transport.2021.16276
Subject(s) - pedestrian , level of service , transport engineering , fuzzy logic , traffic flow (computer networking) , simulation , engineering , computer science , statistics , mathematics , artificial intelligence , computer security
Pedestrian Level of Service (PLOS) is influenced by the factors of traffic conditions, road facility conditions and environmental conditions. Pedestrian flow rate was the key factor influencing PLOS for the reason that pedestrians’ visual scopes of pavement and the influencing degree of each influencing factor on sidewalks was differed under different pedestrian flow rates. In order to evaluate PLOS more accurately, this paper classified pedestrian flow rates into 6 stages. Then, significant influencing factors of traffic conditions, road facility conditions and environmental conditions, which influenced pedestrians’ satisfaction, were extracted respectively under each pedestrian flow rate by Spearman rank correlation method. Finally, the evaluation method of PLOS with multi-factors based on classification of pedestrian flow rates was put forward. In addition, the models got training with fuzzy neural network method. The test showed that the accuracy of the comprehensive evaluation model of PLOS under different pedestrian flow rates based on fuzzy neural network reaches to 92%, which is much higher than the model accuracy of previous researches.