More and more cities worldwide are striving for sustainability and livability. Measuring the service or performance of local-scale spaces for pedestrians and bicyclists to better understand how to provide “walkable” and “bikeable” environments is key in this endeavor to enhance active transportation. These pedestrian and bicycle service or performance indicators, such as Level of Traffic Stress or Level of Service, relate measurable characteristics with a perceived proxy of the performance or service, such as comfort, satisfaction, or quality of service (QoS). The purpose of this study is to propose and validate a framework that integrates user-oriented inputs to the existing traditional supply-oriented variables to explain the QoS in segment roadways in urban environments for active modes. The conceptual framework underlying this study considers the contribution of individual perceptions, in addition to the traditionally considered operational and geometry variables, to explain the perceived QoS of pedestrian and bicyclist infrastructure. The framework is tested via two separate and independent surveys for pedestrians and bicyclists. Evidence determined the relative importance of these supply-oriented and user-oriented factors to explain the QoS. The superior explanatory power of the perception variables and in terms of the variables that explain the individuals’ perceived QoS justify the framework for both pedestrians and bicyclists.

全球越来越多的城市正在为可持续性和宜居性而努力。衡量行人和骑自行车的人在当地范围内的服务或性能，以更好地了解如何提供“可步行”和“可骑自行车”的环境，是增强主动交通能力的关键。这些行人和自行车服务或性能指标（例如交通压力水平或服务水平）将可测量的特征与性能或服务的感知代理（例如舒适度，满意度或服务质量（QoS））相关联。这项研究的目的是提出并验证一个框架，该框架将面向用户的输入与现有的传统面向供应的变量集成在一起，以解释主动模式下城市环境中分段路段的QoS。这项研究所基于的概念框架除了传统上考虑的操作和几何变量之外，还考虑了个人感知的贡献，以解释行人和骑自行车者基础设施的感知QoS。该框架通过针对行人和骑自行车者的两个独立且独立的调查进行测试。证据确定了这些以供应为导向和以用户为导向的因素对于解释QoS的相对重要性。感知变量以及解释个人感知的QoS的变量具有超强的解释能力，这为行人和骑自行车的人提供了合理的框架。该框架通过针对行人和骑自行车者的两个独立且独立的调查进行测试。证据确定了这些以供应为导向和以用户为导向的因素对于解释QoS的相对重要性。感知变量以及解释个人感知的QoS的变量具有超强的解释能力，这为行人和骑自行车的人提供了合理的框架。该框架通过针对行人和骑自行车者的两个独立且独立的调查进行测试。证据确定了这些以供应为导向和以用户为导向的因素对于解释QoS的相对重要性。感知变量以及解释个人感知的QoS的变量具有超强的解释能力，这为行人和骑自行车的人提供了合理的框架。