Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data

Chen, Bi Yu; Wang, Yafei; Wang, Donggen; Li, Qingquan; Lam, William H. K.; Shaw, Shih Lung

doi:10.1080/24694452.2017.1411244

Cited by 55 publications

(45 citation statements)

References 67 publications

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“…Such information can be used to infer individuals' meaningful activity locations (e.g., home, workplace, favorite restaurants) and time allocation at these places. Feeding these behavioral patterns into the time use diagram would shed light on the rhythm and paces of urban life (Reades, Calabrese, and Ratti 2009;Ahas et al 2015;B. Y. Chen et al 2018;Thulin, Vilhelmson, and Schwanen 2020).…”

Section: Discussionmentioning

confidence: 99%

Tourism Geography through the Lens of Time Use: A Computational Framework Using Fine-Grained Mobile Phone Data

Xue

et al. 2020

Annals of the American Association of Geographers

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Location-aware technologies and big data are transforming the ways we capture and analyze human activities. This has particularly affected tourism geography, which aims to study tourist activities within the context of space and places. In this study, we argue that the tourism geography of cities can be better understood through the time use of tourists captured by fine-grained human mobility observations. By using a large-scale mobile phone data set collected in three cities in South Korea (Gangneung, Jeonju, and Chuncheon), we develop a computational framework to enable accurate quantification of tourist time use, the visualization of their spatiotemporal activity patterns, and systematic comparisons across cities. The framework consists of several approaches for the extraction and semantic labeling of tourist activities, visual-analytic tools (time use diagram, time-activity diagram) for examining their time use, as well as quantitative measures that facilitate day-today comparisons. The feasibility of the framework is demonstrated by performing a comparative analysis in three cities during representative days when tourists tended to show more regular patterns. The framework is also employed to examine tourist time use during special events, using Gangneung during the 2018 Winter Olympics (WO) as an example. The findings are validated by comparing the spatiotemporal patterns with the WO calendar of events. The study provides a new perspective that connects time geography and tourism through the usage of spatiotemporal big data. The computational framework can be applied to compatible data sets to advance time geography, tourism, and urban mobility research.

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Section: Discussionmentioning

confidence: 99%

Tourism Geography through the Lens of Time Use: A Computational Framework Using Fine-Grained Mobile Phone Data

Xue

et al. 2020

Annals of the American Association of Geographers

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“…There are generally two kinds of accessibility measures: place-based measures and people-base measures (Neutens, Versichele, and Schwanen 2010;Chen et al 2018aChen et al , 2019. Place-based accessibility measures consist of two parts: (1) the potential opportunities; (2) the spatial distance or the travel time between the reference location and the activity location.…”

Section: Introductionmentioning

confidence: 99%

Measuring accessibility of bus system based on multi-source traffic data

Zuo

Liu

2020

Geo-spatial Information Science

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Accessibility is a representative indicator for evaluating the supply of bus system. Traditional studies have evaluated the accessibility from different aspects. Considering the interaction among land use, bus timetable arrangement and individual factors, a more holistic accessibility measurement is proposed to combine static and dynamic characteristics from multisource traffic data. The rationale of the proposed model is verified by a case study of bus system in Shenzhen, China, which is carried out to find the spatial and temporal discrepancy of service of bus system. It is found that the adjustment of bus schedule to time-varying travel demand can affect accessibility of bus system and that Land-use development, average bus speed and bus facilities all have positive effects on accessibility of bus system. These findings provide significant reference for transport planning and policy-making. The proposed model is not limited to accessibility measuring of bus system, but also applicable to other travel modes.

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“…For example, Figure is a product of tracking activity diary data of over 500 households (J. Chen et al, ). The concept is equally applicable to tracing mediated forms of location and mobility as illustrated in studies of up to 17 million residents of Shanghai (e.g., B. Y. Chen et al, ; J. Chen, Pei, et al, ; B. Y. Chen, Wang, et al, ).…”

Section: Introductionmentioning

confidence: 99%

Trace of pace, place, and space in personal relationships: The chronogeometrics of studying relationships at scale

Spitzberg

2019

Personal Relationships

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The study of personal relationships has traditionally relied on self‐reports or observations of face‐to‐face interaction. Digital media increasingly provide the ability to trace communication and relationships at scale. Such methods portend significant theoretical and methodological challenges, as well as potential. As a way of illustrating such potential, big data approaches to the select traditional relational concepts of routine relating, propinquity, homophily, small world, and reciprocity are reviewed. The fields of communication and personal relationships will need to inform such research by developing their own interdisciplinary relationships with geographic information sciences, computational linguistics, and computer sciences or cede a significant frontier of their field to these other disciplines.

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Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data

Cited by 55 publications

References 67 publications

Tourism Geography through the Lens of Time Use: A Computational Framework Using Fine-Grained Mobile Phone Data

Tourism Geography through the Lens of Time Use: A Computational Framework Using Fine-Grained Mobile Phone Data

Measuring accessibility of bus system based on multi-source traffic data

Trace of pace, place, and space in personal relationships: The chronogeometrics of studying relationships at scale

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