Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects

The purpose of this paper is to deal with the perception variance problem in regret model by scaling perception variance and relaxing the distribution assumption of the random error term, which are corresponding to the attribute and alternative differences, respectively. Specifically, the power coef...

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Main Authors: Qiong Chen, Hong Zhang, Yuchen Song, Donghao Huang, Dawei Li, Haining Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/6001033
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author Qiong Chen
Hong Zhang
Yuchen Song
Donghao Huang
Dawei Li
Haining Wang
author_facet Qiong Chen
Hong Zhang
Yuchen Song
Donghao Huang
Dawei Li
Haining Wang
author_sort Qiong Chen
collection DOAJ
description The purpose of this paper is to deal with the perception variance problem in regret model by scaling perception variance and relaxing the distribution assumption of the random error term, which are corresponding to the attribute and alternative differences, respectively. Specifically, the power coefficient in regret function can capture individual perception variance of specific attributes and latent class structure is used to analyze individual heterogeneity of alternative differences by defining weight function. Accordingly, perceiving behaviors of individuals are analyzed in depth and generating absolute and relative behavior interpretation and asymmetric property. The proposed models are estimated and analyzed using GPS data of taxis in Guangzhou, and bicycle household surveys are collected in Tel Aviv metropolitan area. The results show both significant effects of attributes on drivers’ and cyclists’ route choice behavior and identification of different types (absolute or relative) of perceiving attribute and alternative regret differences of the two travelers by incorporating the ratio of length between chosen route and the shortest route.
format Article
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institution Kabale University
issn 2042-3195
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-b3bc6f5e682e445d8d937b6e909a84392025-02-03T01:20:00ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/6001033Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment EffectsQiong Chen0Hong Zhang1Yuchen Song2Donghao Huang3Dawei Li4Haining Wang5School of ArchitectureSchool of ArchitectureSchool of TransportationSchool of TransportationJiangsu Key Laboratory of Urban ITSSchool of ArchitectureThe purpose of this paper is to deal with the perception variance problem in regret model by scaling perception variance and relaxing the distribution assumption of the random error term, which are corresponding to the attribute and alternative differences, respectively. Specifically, the power coefficient in regret function can capture individual perception variance of specific attributes and latent class structure is used to analyze individual heterogeneity of alternative differences by defining weight function. Accordingly, perceiving behaviors of individuals are analyzed in depth and generating absolute and relative behavior interpretation and asymmetric property. The proposed models are estimated and analyzed using GPS data of taxis in Guangzhou, and bicycle household surveys are collected in Tel Aviv metropolitan area. The results show both significant effects of attributes on drivers’ and cyclists’ route choice behavior and identification of different types (absolute or relative) of perceiving attribute and alternative regret differences of the two travelers by incorporating the ratio of length between chosen route and the shortest route.http://dx.doi.org/10.1155/2022/6001033
spellingShingle Qiong Chen
Hong Zhang
Yuchen Song
Donghao Huang
Dawei Li
Haining Wang
Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
Journal of Advanced Transportation
title Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
title_full Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
title_fullStr Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
title_full_unstemmed Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
title_short Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects
title_sort analysis of perception variance in regret choice modeling based on gps data considering building environment effects
url http://dx.doi.org/10.1155/2022/6001033
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