Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania
Abstract The household travel survey (HTS) finds itself in the midst of rapid technological change. Traditional methods are increasingly being sidelined by digital devices and computational power—for tracking movements, automatically detecting modes and activities, facilitating data c...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Springer US
2021
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Online Access: | https://hdl.handle.net/1721.1/131519 |
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author | Zegras, P. C Li, Menghan Kilic, Talip Lozano-Gracia, Nancy Ghorpade, Ajinkya Tiberti, Marco Aguilera, Ana I Zhao, Fang |
author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Zegras, P. C Li, Menghan Kilic, Talip Lozano-Gracia, Nancy Ghorpade, Ajinkya Tiberti, Marco Aguilera, Ana I Zhao, Fang |
author_sort | Zegras, P. C |
collection | MIT |
description | Abstract
The household travel survey (HTS) finds itself in the midst of rapid technological change. Traditional methods are increasingly being sidelined by digital devices and computational power—for tracking movements, automatically detecting modes and activities, facilitating data collection, etc.. Smartphones have recently emerged as the latest technological enhancement. FMS is a smartphone-based prompted-recall HTS platform, consisting of an app for sensor data collection, a backend for data processing and inference, and a user interface for verification of inferences (e.g., modes, activities, times, etc.). FMS, has been deployed in several cities of the global north, including Singapore. This paper assesses the first use of FMS in a city of the global south, Dar es Salaam. FMS in Dar was implemented over a 1-month period, among 581 adults chosen from 300 randomly selected households. Individuals were provided phones with data plans and the FMS app preloaded. Verification of the collected data occurred every 3 days, via a phone interview. The experiment reveals various social and technical challenges. Models of individual likelihood to participate suggest little bias. Several socioeconomic and demographic characteristics apparently do influence, however, the number of days fully verified per individual. Similar apparent biases emerge when predicting the likelihood of a given day being verified. Some risk of non-random, non-response is, thus, evident. |
first_indexed | 2024-09-23T10:31:51Z |
format | Article |
id | mit-1721.1/131519 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T10:31:51Z |
publishDate | 2021 |
publisher | Springer US |
record_format | dspace |
spelling | mit-1721.1/1315192023-09-19T18:48:39Z Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania Zegras, P. C Li, Menghan Kilic, Talip Lozano-Gracia, Nancy Ghorpade, Ajinkya Tiberti, Marco Aguilera, Ana I Zhao, Fang Massachusetts Institute of Technology. Department of Urban Studies and Planning Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Singapore-MIT Alliance in Research and Technology (SMART) Abstract The household travel survey (HTS) finds itself in the midst of rapid technological change. Traditional methods are increasingly being sidelined by digital devices and computational power—for tracking movements, automatically detecting modes and activities, facilitating data collection, etc.. Smartphones have recently emerged as the latest technological enhancement. FMS is a smartphone-based prompted-recall HTS platform, consisting of an app for sensor data collection, a backend for data processing and inference, and a user interface for verification of inferences (e.g., modes, activities, times, etc.). FMS, has been deployed in several cities of the global north, including Singapore. This paper assesses the first use of FMS in a city of the global south, Dar es Salaam. FMS in Dar was implemented over a 1-month period, among 581 adults chosen from 300 randomly selected households. Individuals were provided phones with data plans and the FMS app preloaded. Verification of the collected data occurred every 3 days, via a phone interview. The experiment reveals various social and technical challenges. Models of individual likelihood to participate suggest little bias. Several socioeconomic and demographic characteristics apparently do influence, however, the number of days fully verified per individual. Similar apparent biases emerge when predicting the likelihood of a given day being verified. Some risk of non-random, non-response is, thus, evident. 2021-09-20T17:17:25Z 2021-09-20T17:17:25Z 2018-01-12 2020-09-24T21:24:41Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131519 en https://doi.org/10.1007/s11116-017-9851-6 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer Science+Business Media, LLC, part of Springer Nature application/pdf Springer US Springer US |
spellingShingle | Zegras, P. C Li, Menghan Kilic, Talip Lozano-Gracia, Nancy Ghorpade, Ajinkya Tiberti, Marco Aguilera, Ana I Zhao, Fang Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania |
title | Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania |
title_full | Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania |
title_fullStr | Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania |
title_full_unstemmed | Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania |
title_short | Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania |
title_sort | assessing the representativeness of a smartphone based household travel survey in dar es salaam tanzania |
url | https://hdl.handle.net/1721.1/131519 |
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