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https://doi.org/10.7307/ptt.v35i3.130

Evaluation of Pedestrian Level of Service at Signalised Intersections from the Elderly Perspective

Huiling Zhang ; Transportation School, Chongqing Jiaotong University
Dekai Zhang ; Qingdao Municipal Engineering Design Research Institute
Ruihao Wang ; Transportation School, Chongqing Jiaotong University


Puni tekst: engleski pdf 1.422 Kb

str. 434-445

preuzimanja: 75

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Sažetak

The crossing decisions and behaviour of elderly pedestrians are affected by the pedestrian level of service (PLOS). In this paper, an evaluation model was established to analyse the relationship between the traffic environment and the perceived evaluation of elderly pedestrians. Firstly, the characteristic parameters of the selected intersections and the perceived evaluation data of elderly pedestrians at the synchronisation scenery were extracted using manual recording and questionnaire-based truncation methods. The correlation between the perceived evaluation data of elderly pedestrians and the traffic parameters were tested with respect to the dimensions of safety, convenience and efficiency. Then, the significant parameters affecting PLOS were recognised. Based on the traffic characteristic parameters, the PLOS evaluation model from the elderly perspective was established using the fuzzy linear regression method. PLOS classification thresholds were obtained using the fuzzy C-means clustering algorithm. The data from two intersections were used to validate the model. The results show that the difference between the actual and the predicted PLOS values of the two crosswalks were 0.2 and 0.1, respectively. Thus, the proposed PLOS evaluation model in this paper can be used to accurately predict the PLOS from the elderly perspective using the traffic data of signalised intersections.

Ključne riječi

urban traffic; pedestrian level of service; fuzzy linear regression; signalised intersection; elderly pedestrian

Hrčak ID:

304873

URI

https://hrcak.srce.hr/304873

Datum izdavanja:

28.6.2023.

Posjeta: 172 *