Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore
Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey system that was field tested in 2012/2013 together with the Household Interview Travel Survey (HITS) in Singapore. This paper presents findings of exploratory analysis of the data collected in this test. Clustering of day...
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Transportation Research Board of the National Academies
2016
|
| Online Access: | http://hdl.handle.net/1721.1/100712 https://orcid.org/0000-0003-1552-3800 |
| _version_ | 1826205737375760384 |
|---|---|
| author | Zhao, Fang Camara Pereira, Francisco Ball, Rudi Kim, Youngsung Han, Yafei Zegras, P. Christopher Ben-Akiva, Moshe E. |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Zhao, Fang Camara Pereira, Francisco Ball, Rudi Kim, Youngsung Han, Yafei Zegras, P. Christopher Ben-Akiva, Moshe E. |
| author_sort | Zhao, Fang |
| collection | MIT |
| description | Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey system that was field tested in 2012/2013 together with the Household Interview Travel Survey (HITS) in Singapore. This paper presents findings of exploratory analysis of the data collected in this test. Clustering of day patterns from FMS data reveals large day-to-day variability of user behavior, which cannot be captured by a snapshot with a one-day survey. Even the high cross-sectional variability from the larger sample size of a traditional survey would not have achieved the comprehensive set of heterogeneous patterns as provided by FMS. Some common problems in traditional surveys – such as under-reporting of trips, over-estimation of travel times, and inaccuracy of locations and times – can apparently be reduced by FMS. The FMS data, as compared to HITS, have higher resolution and better accuracy. In addition, FMS is well suited to collect multi-day data as additional costs are marginal and user burden reduces overtime. FMS offers a promising technology for next generation travel data collection. |
| first_indexed | 2024-09-23T13:17:48Z |
| format | Article |
| id | mit-1721.1/100712 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:17:48Z |
| publishDate | 2016 |
| publisher | Transportation Research Board of the National Academies |
| record_format | dspace |
| spelling | mit-1721.1/1007122022-10-01T14:23:56Z Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore Zhao, Fang Camara Pereira, Francisco Ball, Rudi Kim, Youngsung Han, Yafei Zegras, P. Christopher Ben-Akiva, Moshe E. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Urban Studies and Planning Zegras, P. Christopher Han, Yafei Zegras, P. Christopher Ben-Akiva, Moshe E. Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey system that was field tested in 2012/2013 together with the Household Interview Travel Survey (HITS) in Singapore. This paper presents findings of exploratory analysis of the data collected in this test. Clustering of day patterns from FMS data reveals large day-to-day variability of user behavior, which cannot be captured by a snapshot with a one-day survey. Even the high cross-sectional variability from the larger sample size of a traditional survey would not have achieved the comprehensive set of heterogeneous patterns as provided by FMS. Some common problems in traditional surveys – such as under-reporting of trips, over-estimation of travel times, and inaccuracy of locations and times – can apparently be reduced by FMS. The FMS data, as compared to HITS, have higher resolution and better accuracy. In addition, FMS is well suited to collect multi-day data as additional costs are marginal and user burden reduces overtime. FMS offers a promising technology for next generation travel data collection. Singapore. National Research Foundation (Singapore-MIT Alliance for Research and Technology Center. Future Urban Mobility Program) 2016-01-06T02:22:20Z 2016-01-06T02:22:20Z 2015-01 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/100712 Zhao, Fang, Francisco Camara Pereira, Youngsung Kim, Yafei Han, Christopher Zegras, Moshe Ben-Akiva. "Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore." Transportation Research Record 94th Annual Meeting (January 2015). https://orcid.org/0000-0003-1552-3800 en_US http://www.trb.org/AnnualMeeting2015/AM2015Program.aspx Proceedings of the Transportation Research Record 94th Annual Meeting Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Transportation Research Board of the National Academies Prof. Zegras via Peter Cohn |
| spellingShingle | Zhao, Fang Camara Pereira, Francisco Ball, Rudi Kim, Youngsung Han, Yafei Zegras, P. Christopher Ben-Akiva, Moshe E. Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore |
| title | Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore |
| title_full | Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore |
| title_fullStr | Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore |
| title_full_unstemmed | Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore |
| title_short | Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore |
| title_sort | exploratory analysis of a smartphone based travel survey in singapore |
| url | http://hdl.handle.net/1721.1/100712 https://orcid.org/0000-0003-1552-3800 |
| work_keys_str_mv | AT zhaofang exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore AT camarapereirafrancisco exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore AT ballrudi exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore AT kimyoungsung exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore AT hanyafei exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore AT zegraspchristopher exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore AT benakivamoshee exploratoryanalysisofasmartphonebasedtravelsurveyinsingapore |