Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Exploring Human Activity Patterns Using Taxicab Static Points

16 references·7 citing·41 second hop

FromToDepth

this work references cited by second hop

References

2009Power-Law Distributions in Empirical Data8,008 cited
2018Power-law distributions in empirical data6,499 cited
2010Limits of Predictability in Human Mobility3,230 cited
2017Modifiable Areal Unit Problem1,879 cited
2012Geographies of Rhythm: Nature, Place, Mobilities and Bodies392 cited
2008Walking and Rhythmicity: Sensing Urban Space370 cited
2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data280 cited
2009Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network262 cited
2009Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data257 cited
2011Exploratory data analysis of activity diary data: a space–time GIS approach190 cited
1999Daily mobility and the use of time for different activities. The case of Sweden163 cited
1999A time-geographical approach to the study of everyday life of individuals – a challenge of complexity147 cited
1984The City around the Clock: Space—Time Patterns of Urban Ecological Structure110 cited
2004Activities in Space and Time102 cited
1991Om tidens vidd och tingens ordning

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

55 cited

2013Scaling of Geographic Space from the Perspective of City and Field Blocks and Using Volunteered Geographic Information26 cited

Cited by

2017Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data21 cited
2021Identifying Urban Functional Areas in China’s Changchun City from Sentinel-2 Images and Social Sensing Data17 cited
2022Sustaining the Well-Being of Wearable Technology Users: Leveraging SEM-Based IPMA and VIKOR Analyses to Gain Deeper Insights7 cited
2021Identification and analysis of urban influential regions using spatial interaction networks6 cited
2013Trips and their CO2 emissions induced by a shopping center6 cited
2013A New Insight into Land Use Classification Based on Aggregated Mobile Phone Data5 cited
2017Computing a hierarchy favored optimal route in a Voronoi-based road network with multiple levels of detail4 cited