User perception plays a critical role in pedestrian infrastructure usage. Indeed, the perceptional influence varies across individuals, and it is imperative to consider their response heterogeneity in modelling individual travel intentions. The present study develops a novel framework to understand the pedestrian perception, and further identify their impact on future travel decisions. In this framework, the individual pedestrian perception of an area is captured using a Level of Service (LOS) index, and the overall set of LOS is categorized using a clustering methodology. The future travel behavior is modelled using a single-step estimation that incorporates the effect of both response heterogeneity and latent individual correlation. The proposed framework is utilized in estimating the LOS categorization and the future willingness to walk in the city of Coimbatore, India. The results found a significant response heterogeneity among respondents in Coimbatore, and consequently emphasized the need for incorporating these taste variations in the travel behavior models. An increase in LOS encouraged the respondents to walk, and further, walk longer. Moreover, females were willing to pursue walking and/or walk more distance compared with males. The positive ordinal interval for LOS ‘A’ to ‘C’ indicated an acceptability for this LOS range among pedestrians compared with LOS ‘E’ to ‘F’ having a negative range. In the individual assessment of LOS variables, almost all study areas were found requiring an improvement with respect to the management of footpath vendors and footpath cleanliness.

用户感知在行人基础设施的使用中起着至关重要的作用。确实，感知影响会因个人而异，因此在建模个人旅行意图时必须考虑他们的反应异质性。本研究开发了一个新颖的框架来理解行人的感知，并进一步确定其对未来出行决策的影响。在此框架中，使用服务水平（LOS）指数捕获对区域的单个行人感知，并使用聚类方法对LOS的整个集合进行分类。使用结合了响应异质性和潜在个体相关性的单步估计对未来旅行行为进行建模。拟议的框架用于估计LOS的分类以及未来在印度哥印拜陀市行走的意愿。结果发现，在哥印拜陀的受访者中，应答的异质性很大，因此强调了将这些口味变化纳入旅行行为模型的必要性。LOS的增加鼓励受访者走得更远。此外，与男性相比，女性更愿意散步和/或走更多距离。LOS'A'至'C'的正序间隔表示行人对此LOS范围的可接受性，而LOS'E'至'F'具有负范围。在对LOS变量进行单独评估时，