Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey
With increased internet connectivity, there are more opportunities to substitute physical, or “in-person”, activities with online activities. With this, changes to household and individual travel/activity patterns are to be expected. For example, the increased adoption of e-commerce can affect indiv...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2022-03-01
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Series: | Transportation Research Interdisciplinary Perspectives |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198221002293 |
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author | André Alho Cheng Cheng Dao Trung Hieu Takanori Sakai Fang Zhao Moshe Ben-Akiva Lynette Cheah |
author_facet | André Alho Cheng Cheng Dao Trung Hieu Takanori Sakai Fang Zhao Moshe Ben-Akiva Lynette Cheah |
author_sort | André Alho |
collection | DOAJ |
description | With increased internet connectivity, there are more opportunities to substitute physical, or “in-person”, activities with online activities. With this, changes to household and individual travel/activity patterns are to be expected. For example, the increased adoption of e-commerce can affect individual travel destinations and frequency. To study these shifts, we enhance an existing smartphone-based travel/activity diary to capture online activities, with a focus on activities that can replace passenger trips. Furthermore, we expand the options to report shopping details, to better understand the influence of e-commerce on in-person shopping. In this paper, we detail the data collection tool development strategy and user-experience findings. Moreover, we provide insights from a pilot deployment in Singapore during 2020, which allowed measuring travel/activity behavior, expenditure, and time allocation changes during various COVID-19 pandemic travel restriction periods. |
first_indexed | 2024-12-20T20:20:30Z |
format | Article |
id | doaj.art-3e343e164f154a3fa2ae3b06afd7ae47 |
institution | Directory Open Access Journal |
issn | 2590-1982 |
language | English |
last_indexed | 2024-12-20T20:20:30Z |
publishDate | 2022-03-01 |
publisher | Elsevier |
record_format | Article |
series | Transportation Research Interdisciplinary Perspectives |
spelling | doaj.art-3e343e164f154a3fa2ae3b06afd7ae472022-12-21T19:27:35ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822022-03-0113100524Online and in-person activity logging using a smartphone-based travel, activity, and time-use surveyAndré Alho0Cheng Cheng1Dao Trung Hieu2Takanori Sakai3Fang Zhao4Moshe Ben-Akiva5Lynette Cheah6Intelligent Transportation Systems Lab, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United StatesDepartment of System Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, 138632 Singapore, Singapore; Corresponding author.Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, SingaporeDepartment of Logistics and Information Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, JapanFuture Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, SingaporeIntelligent Transportation Systems Lab, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United StatesEngineering Systems and Design, Singapore University of Technology and Design, Singapore 487372, SingaporeWith increased internet connectivity, there are more opportunities to substitute physical, or “in-person”, activities with online activities. With this, changes to household and individual travel/activity patterns are to be expected. For example, the increased adoption of e-commerce can affect individual travel destinations and frequency. To study these shifts, we enhance an existing smartphone-based travel/activity diary to capture online activities, with a focus on activities that can replace passenger trips. Furthermore, we expand the options to report shopping details, to better understand the influence of e-commerce on in-person shopping. In this paper, we detail the data collection tool development strategy and user-experience findings. Moreover, we provide insights from a pilot deployment in Singapore during 2020, which allowed measuring travel/activity behavior, expenditure, and time allocation changes during various COVID-19 pandemic travel restriction periods.http://www.sciencedirect.com/science/article/pii/S2590198221002293Travel surveyE-commerceTravel demandData collection |
spellingShingle | André Alho Cheng Cheng Dao Trung Hieu Takanori Sakai Fang Zhao Moshe Ben-Akiva Lynette Cheah Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey Transportation Research Interdisciplinary Perspectives Travel survey E-commerce Travel demand Data collection |
title | Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey |
title_full | Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey |
title_fullStr | Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey |
title_full_unstemmed | Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey |
title_short | Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey |
title_sort | online and in person activity logging using a smartphone based travel activity and time use survey |
topic | Travel survey E-commerce Travel demand Data collection |
url | http://www.sciencedirect.com/science/article/pii/S2590198221002293 |
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