The Uncertain Geographic Context Problem in Identifying Activity Centers Using Mobile Phone Positioning Data and Point of Interest Data

2015 ◽  
pp. 107-119 ◽  
Author(s):  
Xingang Zhou ◽  
Jianzheng Liu ◽  
Anthony Gar On Yeh ◽  
Yang Yue ◽  
Weifeng Li
Keyword(s):  
Mobile Phone ◽  
Point Of Interest ◽  
Geographic Context ◽  
Context Problem

Developing a GIS-Based Online Survey Instrument to Elicit Perceived Neighborhood Geographies to Address the Uncertain Geographic Context Problem

2018 ◽  
Vol 70 (3) ◽  
pp. 423-433 ◽  
Author(s):  
Jessie L. C. Shmool ◽  
Isaac L. Johnson ◽  
Zan M. Dodson ◽  
Robert Keene ◽  
Robert Gradeck ◽  
...  
Keyword(s):  
Online Survey ◽  
Survey Instrument ◽  
Geographic Context ◽  
Context Problem

We Know Where You Are

2016 ◽  
Vol 7 (2) ◽  
pp. 61-75 ◽  
Author(s):  
Xining Yang ◽  
Xinyue Ye ◽  
Daniel Z. Sui
Keyword(s):  
Social Media ◽  
Spatial Data ◽  
Space And Place ◽  
Spatial Data Analysis ◽  
Food Services ◽  
Point Of Interest ◽  
Geographic Context ◽  
Retail Shopping ◽  
The City ◽  
Media Data

The convergence of social media and GIS provides an opportunity to reconcile space-based GIS and place-based social media. For this purpose, the authors conduct an empirical study in Columbus, Ohio, aiming to enrich both the spatial and platial context of geo-tagged data, using location-based social media Foursquare checkins as an example. An exploratory analytical approached is used to enrich the geographic context of social media data in both space and place. Specifically, exploratory spatial data analysis and point of interest matching are applied to analyze about 50,000 checkins crawled from social media feeds. It is found that checkins tend to be spatially clustered near the center of the city. Popular places related to food, services, and retail shopping venues are more likely to be reported by social media users. The authors also conducted platial analysis of the top 25 popular place venues in the study area.

scholarly journals Identifying Urban Residents’ Activity Space at Multiple Geographic Scales Using Mobile Phone Data

2020 ◽  
Vol 9 (4) ◽  
pp. 241
Author(s):  
Lunsheng Gong ◽  
Meihan Jin ◽  
Qiang Liu ◽  
Yongxi Gong ◽  
Yu Liu
Keyword(s):  
Built Environment ◽  
Mobile Phone ◽  
Human Life ◽  
Activity Space ◽  
Mobile Phone Data ◽  
Urban Residents ◽  
Activity Spaces ◽  
Point Of Interest ◽  
The Relationship

Residents’ activity space reflects multiple aspects of human life related to space, time, and type of activity. How to measure the activity space at multiple geographic scales remains a problem to be solved. Recently, the emergence of big data such as mobile phone data and point of interest data has brought access to massive geo-tagged datasets to identify human activity at multiple geographic scales and to explore the relationship with built environment. In this research, we propose a new method to measure three types of urban residents’ activity spaces—i.e., maintenance activity space, commuting activity space, and recreational activity space—using mobile phone data. The proposed method identifies the range of three types of residents’ activity space at multiple geographic scales and analyzing the relationship between the built environment and activity space. The research takes Zhuhai City as its case study and discovers the spatial patterns for three activity space types. The proposed method enables us to achieve a better understanding of the human activities of different kinds, as well as their relationships with the built environment.

Reducing the Uncertain Geographic Context Problem in Physical Activity Research: The Houston TRAIN Study

2019 ◽  
Vol 51 (Supplement) ◽  
pp. 437
Author(s):  
Deborah Salvo ◽  
Casey P. Durand ◽  
Erin E. Dooley ◽  
Ashleigh M. Johnson ◽  
Abiodun Oluyomi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Geographic Context ◽  
Context Problem

scholarly journals Pengembangan Aplikasi Penjadwalan Wisata Harian pada Smartphone dengan Pendekatan Scrum

2014 ◽  
Vol 5 (2) ◽  
pp. 534
Author(s):  
Yen Lina Prasetio ◽  
Novita Hanafiah ◽  
Agustinna Yosanny ◽  
Catharine Yolanda ◽  
Febrina Piecella Musbar ◽  
...  
Keyword(s):  
Mobile Phone ◽  
20Th Century ◽  
Technology Development ◽  
Application System ◽  
Point Of Interest ◽  
Waterfall Model

The technology development affects people activites especially in this 20th century. Mobile phone ischanged into smartphone and travelling becomes a new lifestlye. A Tourism scheduler with a reminder is created from this research to fulfill the new trend of people lifestyle. The travelling data is stored in the system and some information such as the point of interest of an area, hotel, and transportation to reach the area are provided. Waterfall model becomes the method to build this system. Hence, an application that can create a trip for the user is completely built in Blackberry application system, consist of the trip information. The history feature provided in this application can be an advantange for the user to choose the new travelling destination. Moreover, the application has a good interface follow the eight golden rules and has a good performance that helps the tourists/users to create their own schedule and set the reminder for them.

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