Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics

Understanding trip happiness—a measurement of people’s emotional well-being during trips—is an essential aspect of people-oriented transportation planning. We use data collected via smartphones from 350 residents in the Minneapolis-St. Paul region to examine trip- and person-level factors associated...

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Main Authors: Yingling Fan, Roland Brown, Kirti Das, Julian Wolfson
Format: Article
Language:English
Published: Findings Press 2019-02-01
Series:Findings
Online Access:https://doi.org/10.32866/7124
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author Yingling Fan
Roland Brown
Kirti Das
Julian Wolfson
author_facet Yingling Fan
Roland Brown
Kirti Das
Julian Wolfson
author_sort Yingling Fan
collection DOAJ
description Understanding trip happiness—a measurement of people’s emotional well-being during trips—is an essential aspect of people-oriented transportation planning. We use data collected via smartphones from 350 residents in the Minneapolis-St. Paul region to examine trip- and person-level factors associated with trip happiness. Trip mode, purpose, duration, distance, companionship, activities during the trip, and temporal characteristics of the trip are significantly associated with trip happiness. Mode and companionship are the strongest predictors of trip happiness. Among personal factors, age is the strongest predictor, followed by general happiness of the person. Race, gender, and neighborhood have modest effects on trip happiness.
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spelling doaj-art-1a83a37764b84e1eba499eee3fd2f4de2025-08-20T02:07:10ZengFindings PressFindings2652-88002019-02-0110.32866/7124Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level CharacteristicsYingling FanRoland BrownKirti DasJulian WolfsonUnderstanding trip happiness—a measurement of people’s emotional well-being during trips—is an essential aspect of people-oriented transportation planning. We use data collected via smartphones from 350 residents in the Minneapolis-St. Paul region to examine trip- and person-level factors associated with trip happiness. Trip mode, purpose, duration, distance, companionship, activities during the trip, and temporal characteristics of the trip are significantly associated with trip happiness. Mode and companionship are the strongest predictors of trip happiness. Among personal factors, age is the strongest predictor, followed by general happiness of the person. Race, gender, and neighborhood have modest effects on trip happiness.https://doi.org/10.32866/7124
spellingShingle Yingling Fan
Roland Brown
Kirti Das
Julian Wolfson
Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics
Findings
title Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics
title_full Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics
title_fullStr Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics
title_full_unstemmed Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics
title_short Understanding Trip Happiness using Smartphone-Based Data: The Effects of Trip- and Person-Level Characteristics
title_sort understanding trip happiness using smartphone based data the effects of trip and person level characteristics
url https://doi.org/10.32866/7124
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AT rolandbrown understandingtriphappinessusingsmartphonebaseddatatheeffectsoftripandpersonlevelcharacteristics
AT kirtidas understandingtriphappinessusingsmartphonebaseddatatheeffectsoftripandpersonlevelcharacteristics
AT julianwolfson understandingtriphappinessusingsmartphonebaseddatatheeffectsoftripandpersonlevelcharacteristics