Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates
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 influen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2021-12-01
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| Series: | Transport |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/Transport/article/view/16276 |
| _version_ | 1818955053747142656 |
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| author | Shinan Shu Yang Bian Lin Zhao Jian Rong Xiaoming Liu |
| author_facet | Shinan Shu Yang Bian Lin Zhao Jian Rong Xiaoming Liu |
| author_sort | Shinan Shu |
| collection | DOAJ |
| description | 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.
First published online 20 January 2022 |
| first_indexed | 2024-12-20T10:31:57Z |
| format | Article |
| id | doaj.art-b7b06d7ed32a49349e030146c4ce6cbe |
| institution | Directory Open Access Journal |
| issn | 1648-4142 1648-3480 |
| language | English |
| last_indexed | 2024-12-20T10:31:57Z |
| publishDate | 2021-12-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Transport |
| spelling | doaj.art-b7b06d7ed32a49349e030146c4ce6cbe2022-12-21T19:43:43ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802021-12-0136648649810.3846/transport.2021.1627616276Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow ratesShinan Shu0Yang Bian1Lin Zhao2Jian Rong3Xiaoming Liu4Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaNational Center of ITS Engineering and Technology, Research Institute of Highway, Ministry of Transport, Beijing, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaPedestrian 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. First published online 20 January 2022https://journals.vgtu.lt/index.php/Transport/article/view/16276pedestrian level of service (plos)pedestrians’ behaviourpedestrians’ satisfactionpedestrian flowevaluation model with multi-factorsfuzzy neural network |
| spellingShingle | Shinan Shu Yang Bian Lin Zhao Jian Rong Xiaoming Liu Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates Transport pedestrian level of service (plos) pedestrians’ behaviour pedestrians’ satisfaction pedestrian flow evaluation model with multi-factors fuzzy neural network |
| title | Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates |
| title_full | Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates |
| title_fullStr | Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates |
| title_full_unstemmed | Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates |
| title_short | Modelling pedestrian level of service on sidewalks with multi-factors based on different pedestrian flow rates |
| title_sort | modelling pedestrian level of service on sidewalks with multi factors based on different pedestrian flow rates |
| topic | pedestrian level of service (plos) pedestrians’ behaviour pedestrians’ satisfaction pedestrian flow evaluation model with multi-factors fuzzy neural network |
| url | https://journals.vgtu.lt/index.php/Transport/article/view/16276 |
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