Smartphone app versus GPS Logger: A comparative study

Stopher, Peter; Daigler, Vivian; Griffith, Sarah M.

doi:10.1016/j.trpro.2018.10.026

Cited by 14 publications

(5 citation statements)

References 3 publications

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“…Therefore, the data in May is representative to some extent. Since April 2020, Chinese residents resumed travel, and the tourism industry was gradually recovering [73]. China has entered into a special and unique recovering period that is distinct from the other countries that were still undergoing serious impact from COVID-19.…”

Section: Study Areamentioning

confidence: 99%

Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomeration, China

2023

IJERPH

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The outbreak and spreading of COVID-19 since early 2020 have dramatically impacted public health and the travel environment. However, most of the studies are devoted to travel behavior from the macro perspective. Meanwhile, few researchers pay attention to intercity travel behavior. Thus, this study explores the changes in the travel behavior of intercity high-speed railway travelers during the COVID-19 pandemic from the perspective of the individual. Using the smartphone data, this study first extracts the trip chains by proposing a novel method including three steps. The trip chain can describe the whole process of traveling, including individual characteristics, travel time, travel distance, travel mode, etc. Then, a Multinomial Logit model is applied to analyze the trip chains which verified the validity by using studentized residual error. The study finds that intercity travel behavior has changed in gender, age, travel mode choice, and travel purpose by comparing the trip chains between May 2019 and May 2021 in the Beijing–Tianjin–Hebei urban agglomeration. The method proposed in this study can be used to assess the impact of any long-term emergency on individual travel behavior. The findings proposed in this study are expected to guide public health management and travel environment improvement under the situation of normalized COVID-19 prevention and safety control.

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Section: Study Areamentioning

confidence: 99%

Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomeration, China

2023

IJERPH

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“…In recent years there have been an increasing number of studies which have used either a separate GPS device ( Nielsen, 2004 ; Wargelin, Stopher et al, 2012 ; Livingston, 2011 ), or a smartphone app ( Allström et al, 2017 ; Greene et al, 2012 ; Safi et al, 2015 ; Stopher et al, 2018 ; Nahmias-Biran et al, 2018 ). This data is then usually segmented into trips (or sometimes lower level segments) and activities, on which the mode and trip purpose are imputed.…”

Section: Introductionmentioning

confidence: 99%

Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel

et al. 2021

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“…For example, Prelipcean et al [48][49][50] and Wang et al [51] have provided inventories of various operational travel diary tools that have been deployed until recently. For a summary of issues that still need to be further developed to create fully automated travel diaries, refer to Prelipcean and Yamamoto [52], Gadziński [53], Stopher et al [54], and Wang et al [51].…”

Section: Automated Travel Diariesmentioning

confidence: 99%

Built Environment Characteristics, Daily Travel, and Biometric Readings: Creation of an Experimental Tool Based on a Smartwatch Platform

et al. 2021

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Travel surveys can uncover information regarding travel behaviour, needs, and more. Collected information is utilised to make choices when reorganising or planning built environments. Over the years, methods for conducting travel surveys have changed from interviews and forms to automated travel diaries in order to monitor trips made by travellers. With the fast progression of technological advancements, new possibilities for operationalising such travel diaries can be implemented, changing from utilising mobile to wearable devices. Wearable devices are often equipped with sensors which collect continuous biometric data from sources that are not reachable from standard mobile devices. Data collected through wearable devices range from heart rate and blood pressure to temperature and perspiration. This advancement opens new possible layers of information in the collection of travel data. Such biometric data can be used to derive psychophysiological conditions related to cognitive load, which can uncover in-depth knowledge regarding stress and emotions. This paper aims to explore the possibilities of data analysis on the data collected through a software combining travel survey data, such as position and time, with heartrate, to gain knowledge of the implications of such data. The knowledge about the implications of spatial configurations can be used to create more accessible environments.

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Smartphone app versus GPS Logger: A comparative study

Cited by 14 publications

References 3 publications

Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomeration, China

Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomeration, China

Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel

Built Environment Characteristics, Daily Travel, and Biometric Readings: Creation of an Experimental Tool Based on a Smartwatch Platform

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