Large-Scale Mobile-Based Analysis for National Travel Demand Modeling
Mobile phones have achieved a high rate of penetration and gained great interest in the field of travel behavior studies. However, mobile phone data exploitation for national travel models has only been sporadically studied thus far. This work focuses on one of the most extensive cellular surveys of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/12/9/369 |
| _version_ | 1797579848516894720 |
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| author | Bat-hen Nahmias-Biran Shuki Cohen Vladimir Simon Israel Feldman |
| author_facet | Bat-hen Nahmias-Biran Shuki Cohen Vladimir Simon Israel Feldman |
| author_sort | Bat-hen Nahmias-Biran |
| collection | DOAJ |
| description | Mobile phones have achieved a high rate of penetration and gained great interest in the field of travel behavior studies. However, mobile phone data exploitation for national travel models has only been sporadically studied thus far. This work focuses on one of the most extensive cellular surveys of its kind carried out thus far in the world, which was performed for two years between 2018 and 2019 with the participation of the two largest cellular providers in Israel, as well as leading GPS companies. The large-scale cell phone survey covered half the population using cellphones aged 8+ in Israel and uncovered local and national trip patterns, revealing the structure of nationwide travel demand. The methodology consists of the following steps: (1) plausibility and quality checks for the data of the mobile operators and the GPS data providers; (2) algorithm development for trip detection, home/work location detection, location and time accuracy, and expansion factors; (3) accuracy test of origin–destination matrices at different resolutions, revisions of algorithms, and reproduction of data; and (4) validation of results by comparison to reliable external data sources. The results are characterized by high accuracy and representativeness of demand and indicate a strong correlation between the cellular survey and other reliable sources. |
| first_indexed | 2024-03-10T22:41:41Z |
| format | Article |
| id | doaj.art-e872502985c746d7b5c6db007d9668cd |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T22:41:41Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-e872502985c746d7b5c6db007d9668cd2023-11-19T11:01:06ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-09-0112936910.3390/ijgi12090369Large-Scale Mobile-Based Analysis for National Travel Demand ModelingBat-hen Nahmias-Biran0Shuki Cohen1Vladimir Simon2Israel Feldman3Department of Civil and Environmental Engineering, Ariel University, Ariel 40700, IsraelMATAT—Transportation Planning Center Ltd., Azor 58190, IsraelMinistry of Transport and Road Safety, Israel Bank 5, Jerusalem 9195021, IsraelMobility Insight Ltd., Hatahana 1, Kfar Saba 4418001, IsraelMobile phones have achieved a high rate of penetration and gained great interest in the field of travel behavior studies. However, mobile phone data exploitation for national travel models has only been sporadically studied thus far. This work focuses on one of the most extensive cellular surveys of its kind carried out thus far in the world, which was performed for two years between 2018 and 2019 with the participation of the two largest cellular providers in Israel, as well as leading GPS companies. The large-scale cell phone survey covered half the population using cellphones aged 8+ in Israel and uncovered local and national trip patterns, revealing the structure of nationwide travel demand. The methodology consists of the following steps: (1) plausibility and quality checks for the data of the mobile operators and the GPS data providers; (2) algorithm development for trip detection, home/work location detection, location and time accuracy, and expansion factors; (3) accuracy test of origin–destination matrices at different resolutions, revisions of algorithms, and reproduction of data; and (4) validation of results by comparison to reliable external data sources. The results are characterized by high accuracy and representativeness of demand and indicate a strong correlation between the cellular survey and other reliable sources.https://www.mdpi.com/2220-9964/12/9/369travel demandcellular datamobile phone datatravel surveysnational model |
| spellingShingle | Bat-hen Nahmias-Biran Shuki Cohen Vladimir Simon Israel Feldman Large-Scale Mobile-Based Analysis for National Travel Demand Modeling ISPRS International Journal of Geo-Information travel demand cellular data mobile phone data travel surveys national model |
| title | Large-Scale Mobile-Based Analysis for National Travel Demand Modeling |
| title_full | Large-Scale Mobile-Based Analysis for National Travel Demand Modeling |
| title_fullStr | Large-Scale Mobile-Based Analysis for National Travel Demand Modeling |
| title_full_unstemmed | Large-Scale Mobile-Based Analysis for National Travel Demand Modeling |
| title_short | Large-Scale Mobile-Based Analysis for National Travel Demand Modeling |
| title_sort | large scale mobile based analysis for national travel demand modeling |
| topic | travel demand cellular data mobile phone data travel surveys national model |
| url | https://www.mdpi.com/2220-9964/12/9/369 |
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