论文标题

潜在学习和形成道路网络的时空认知图

Latent learning and the formation of a spatiotemporal cognitive map of a road network

论文作者

Khademi, Navid, Saedi, Ramin

论文摘要

本文讨论了两个主要主题。首先,它研究了旅行者记忆中的公路网络的时空认知图(心理图像)的形成,这需要旅行者全球对拥塞或网络拥挤程度的概念性理解。其次,它试图研究从以前的经历中对旅行者的潜在学习如何塑造精神形象的一部分,即使是旅行者不熟悉的网络部分。在90名参与者中进行了路线选择经验的实验,以深入了解认知图和潜在学习的形成。 In this experiment, the following independent variables are connected to the formation of a mental image of the network and the quality of the generalization of the unfamiliar parts of the network: (i) dispersion of the links travel time throughout the network, (ii) number of trips the traveler makes, (iii) travelers gender, (iv) travelers driving experiences, (v) travelers natural level of optimism or pessimism, (vi) salient or noticeable features on网络和(vii)存在交通信号。采用了几种非参数(无分配)测试来检验假设。结果表明,除了网络上的旅行者性别以及显着或明显的特征外,所考虑的因素还显着影响旅行者网络元素可识别率的程度。

This paper discusses two main themes. First, it investigates the formation of a spatiotemporal cognitive map (mental image) of a road network in travelers memory, which entails the travelers global conceptual understanding of congestion or the degree of crowding of the network. Second, it tries to investigate how latent learning of travelers from previous experiences shapes parts of the mental image, even for the parts of the network with which the travelers are unfamiliar. An experiment of route choice experiences was conducted among 90 participants in order to gain insight into the formation of a cognitive map and latent learning. In this experiment, the following independent variables are connected to the formation of a mental image of the network and the quality of the generalization of the unfamiliar parts of the network: (i) dispersion of the links travel time throughout the network, (ii) number of trips the traveler makes, (iii) travelers gender, (iv) travelers driving experiences, (v) travelers natural level of optimism or pessimism, (vi) salient or noticeable features on the network, and (vii) the presence of traffic signals. Several nonparametric (distribution-free) tests are employed to test the hypotheses. The results indicate that apart from the travelers gender and salient or noticeable features on the network, the considered factors significantly affect the degree of the recognizability of the network elements by travelers.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源