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首页> 外文期刊>Transportation Research Procedia >Modelling Pedestrian Perspectives in Evaluating Satisfaction Levels of Urban Roadway Walking Facilities
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Modelling Pedestrian Perspectives in Evaluating Satisfaction Levels of Urban Roadway Walking Facilities

机译:在评估城市道路步行设施满意度水平时建模行人观点

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Pedestrian Level of Service (PLOS) is a multifaceted expression which represents the working condition of walking facilities and satisfaction level of pedestrian experience while using these facilities. In this regard this study aimed at developing PLOS models for three pedestrian facilities such as sidewalk, signalized intersection and un-signalized intersection by using qualitative data sets. Total 2730 pedestrian’s real time sense of satisfaction data were collected from ten cities of India. Behavioral responses were taken in order to assess variation with different age and gender from study areas having miscellaneous activities. Taking sets of questions, different variable scores were estimated to provide a wide variation of independent variable that will be more reliable for model fitting. Before model development degree of dependency has been examined with the help of discriminant factor analysis. Implementing ridge regression technique three different PLOS models have been developed for three pedestrian facilities. PLOS scores found by using the proposed models were classified by applying GA-Fuzzy clustering technique in order to get six PLOS ranges (A-F). At signalized intersection 3% of participants were extremely dissatisfied with the facility and they gave rating of >5 for PLOS score. This high score was because of pedestrian speed was severely restricted at some places due to the left and permissible right turning vehicles. Results also revealed that for un-signalized intersection nearly 23% of participants were having PLOS score of >4 as waiting time was more than expected and also pedestrian had to face conflict with vehicles while crossing.
机译:行人服务水平(PLOS)是一种多方面表达,代表了使用这些设施的行走设施的工作条件和行人体验的满意度。在这方面,本研究旨在通过使用定性数据集来开发三个行人设施的PLOS模型,例如人行道,信号交叉路口和未信号化交集。共有2730人的行人的实时满足感数据从印度十个城市收集。采取行为响应,以评估具有杂项活动的研究领域的不同年龄和性别的变化。采用问题,估计不同的可变分数,以提供独立变量的广泛变化,对于模型配件,将更加可靠。在判别因子分析的帮助下,研究了依赖性模型开发程度之前。实施脊回归技术三种不同的PLOS模型已经为三个行人设施开发出来。通过使用所提出的模型发现的PLOS分数通过应用GA-FUZZY聚类技术来分类为获得六个PLO(A-F)。在信号中交叉口,3%的参与者对该设施非常不满意,他们为PLOS分数提供了> 5的评级。这种高分是因为行人速度受到左侧和允许的右转车辆的一些地方受到严重限制。结果还表明,对于未发证的交叉口,近23%的参与者的PLOS分数> 4的PLOS得分为4,因为等待时间超过预期,并且在过境时,行人也不得不面对车辆冲突。

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