Google Location History as an Alternative Data Source for Understanding Travel Behavior in Medan, Binjai, and Deli Serdang (Mebidang), Indonesia DOI Creative Commons

Arif Wismadi,

Mohamad Rachmadian Narotama,

Gary Haq

et al.

Future Transportation, Journal Year: 2025, Volume and Issue: 5(2), P. 50 - 50

Published: May 1, 2025

The performance of urban transport is a critical aspect city’s functionality, which needs to be supported by innovative data sources analyze travel patterns. This study explores the use Google Location History (GLH) as participatory geographic information system for mobility surveys, offering cost-effective and more detailed alternative traditional approaches. GLH novel source with high potential, but still underutilized underresearched, especially in developing countries. uses new approach collection processing. Data were collected from 420 respondents Medan, Binjai, Deli Serdang (Mebidang) Indonesia, examine patterns, including trip distances, modes, purposes, while addressing issues accuracy, privacy, representation. provides granular insights into mobility, reducing biases associated self-reported surveys identifying discrepancies between stated actual usage. findings highlight GLH’s potential understanding spatial patterns linked demographic characteristics purpose detail. However, technical challenges, such anomalies reliance on two devices collection, underscore need improve location readings develop add-on tools capable direct export large-scale surveys. advances application research, demonstrating its challenges Future research should address privacy concerns optimize enable inclusive sustainable strategies.

Language: Английский

Google Location History as an Alternative Data Source for Understanding Travel Behavior in Medan, Binjai, and Deli Serdang (Mebidang), Indonesia DOI Creative Commons

Arif Wismadi,

Mohamad Rachmadian Narotama,

Gary Haq

et al.

Future Transportation, Journal Year: 2025, Volume and Issue: 5(2), P. 50 - 50

Published: May 1, 2025

The performance of urban transport is a critical aspect city’s functionality, which needs to be supported by innovative data sources analyze travel patterns. This study explores the use Google Location History (GLH) as participatory geographic information system for mobility surveys, offering cost-effective and more detailed alternative traditional approaches. GLH novel source with high potential, but still underutilized underresearched, especially in developing countries. uses new approach collection processing. Data were collected from 420 respondents Medan, Binjai, Deli Serdang (Mebidang) Indonesia, examine patterns, including trip distances, modes, purposes, while addressing issues accuracy, privacy, representation. provides granular insights into mobility, reducing biases associated self-reported surveys identifying discrepancies between stated actual usage. findings highlight GLH’s potential understanding spatial patterns linked demographic characteristics purpose detail. However, technical challenges, such anomalies reliance on two devices collection, underscore need improve location readings develop add-on tools capable direct export large-scale surveys. advances application research, demonstrating its challenges Future research should address privacy concerns optimize enable inclusive sustainable strategies.

Language: Английский

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