Distinguishing movement from stays during continual GPS tracking: Danish working title: Raffinering af data fra GPS-baserede undersøgelser

Anders Sorgenfri Jensen, Peter Bro, Henrik Harder, Jakob Hjorth Hansen, Nerius Tradisauskas

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearch

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Abstract

During the past couple of years, the research group "Diverse Urban Spaces" has performed a thorough survey of how the Danish city of Aalborg is being used by a certain population group. This group consists of young people at age 17-23 years whose main occupation is high school or equivalent level of education.

The core of the survey revolved around each participant (henceforth referred to as respondent) carrying a pocket-sized GPS receiver for a period of seven days. The GPS receiver would record the position of the respondent approximately every 8th second. With a sample of 169 hand-picked respondents selected from a total group of 212 respondents, Diverse Urban Spaces gathered a vast amount of geodata which could be used to analyse popular city spaces, plazas and buildings as well as pointing out which roads and streets the group would use most frequently.

However, the nature of everyday life involves a relatively high amount of immobility compared to movement. Attempting to analyse how this setup of respondents use the city becomes problematic when the gathered geodata consists of both the 1-2 hours each respondent spend on travelling through the city, and the remaining 22 hours of the day which the respondent would spend stationary at certain locations important to the respondent such as school, home address, work address etc. It would be much more convenient if the geodata could be divided into two datasets consisting of movement and stays respectively, so stay-related analyses such as pinpointing popular city squares wouldn't be affected by noise from movement data.

This paper aims to describe the technique developed by Diverse Urban Spaces to counteract the above mentioned inconvenience by splitting the dataset into movement and stays. The paper will explain how the technique was commenced, how it works and its level of quality.

Original languageEnglish
Publication date2009
Number of pages19
Publication statusPublished - 2009
EventKortdage 2009 - Kolding, Denmark
Duration: 18 Nov 200920 Dec 2009

Conference

ConferenceKortdage 2009
CountryDenmark
CityKolding
Period18/11/200920/12/2009

Fingerprint

recipient
Group
population group
level of education
school
everyday life
building
occupation
road

Keywords

  • GIS
  • tracking
  • GPS
  • planning
  • maps
  • Mobility

Cite this

Jensen, A. S., Bro, P., Harder, H., Hansen, J. H., & Tradisauskas, N. (2009). Distinguishing movement from stays during continual GPS tracking: Danish working title: Raffinering af data fra GPS-baserede undersøgelser. Paper presented at Kortdage 2009, Kolding, Denmark.
Jensen, Anders Sorgenfri ; Bro, Peter ; Harder, Henrik ; Hansen, Jakob Hjorth ; Tradisauskas, Nerius. / Distinguishing movement from stays during continual GPS tracking : Danish working title: Raffinering af data fra GPS-baserede undersøgelser. Paper presented at Kortdage 2009, Kolding, Denmark.19 p.
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Jensen, AS, Bro, P, Harder, H, Hansen, JH & Tradisauskas, N 2009, 'Distinguishing movement from stays during continual GPS tracking: Danish working title: Raffinering af data fra GPS-baserede undersøgelser', Paper presented at Kortdage 2009, Kolding, Denmark, 18/11/2009 - 20/12/2009.

Distinguishing movement from stays during continual GPS tracking : Danish working title: Raffinering af data fra GPS-baserede undersøgelser. / Jensen, Anders Sorgenfri; Bro, Peter; Harder, Henrik; Hansen, Jakob Hjorth; Tradisauskas, Nerius.

2009. Paper presented at Kortdage 2009, Kolding, Denmark.

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearch

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T1 - Distinguishing movement from stays during continual GPS tracking

T2 - Danish working title: Raffinering af data fra GPS-baserede undersøgelser

AU - Jensen, Anders Sorgenfri

AU - Bro, Peter

AU - Harder, Henrik

AU - Hansen, Jakob Hjorth

AU - Tradisauskas, Nerius

PY - 2009

Y1 - 2009

N2 - During the past couple of years, the research group "Diverse Urban Spaces" has performed a thorough survey of how the Danish city of Aalborg is being used by a certain population group. This group consists of young people at age 17-23 years whose main occupation is high school or equivalent level of education.The core of the survey revolved around each participant (henceforth referred to as respondent) carrying a pocket-sized GPS receiver for a period of seven days. The GPS receiver would record the position of the respondent approximately every 8th second. With a sample of 169 hand-picked respondents selected from a total group of 212 respondents, Diverse Urban Spaces gathered a vast amount of geodata which could be used to analyse popular city spaces, plazas and buildings as well as pointing out which roads and streets the group would use most frequently. However, the nature of everyday life involves a relatively high amount of immobility compared to movement. Attempting to analyse how this setup of respondents use the city becomes problematic when the gathered geodata consists of both the 1-2 hours each respondent spend on travelling through the city, and the remaining 22 hours of the day which the respondent would spend stationary at certain locations important to the respondent such as school, home address, work address etc. It would be much more convenient if the geodata could be divided into two datasets consisting of movement and stays respectively, so stay-related analyses such as pinpointing popular city squares wouldn't be affected by noise from movement data.This paper aims to describe the technique developed by Diverse Urban Spaces to counteract the above mentioned inconvenience by splitting the dataset into movement and stays. The paper will explain how the technique was commenced, how it works and its level of quality.

AB - During the past couple of years, the research group "Diverse Urban Spaces" has performed a thorough survey of how the Danish city of Aalborg is being used by a certain population group. This group consists of young people at age 17-23 years whose main occupation is high school or equivalent level of education.The core of the survey revolved around each participant (henceforth referred to as respondent) carrying a pocket-sized GPS receiver for a period of seven days. The GPS receiver would record the position of the respondent approximately every 8th second. With a sample of 169 hand-picked respondents selected from a total group of 212 respondents, Diverse Urban Spaces gathered a vast amount of geodata which could be used to analyse popular city spaces, plazas and buildings as well as pointing out which roads and streets the group would use most frequently. However, the nature of everyday life involves a relatively high amount of immobility compared to movement. Attempting to analyse how this setup of respondents use the city becomes problematic when the gathered geodata consists of both the 1-2 hours each respondent spend on travelling through the city, and the remaining 22 hours of the day which the respondent would spend stationary at certain locations important to the respondent such as school, home address, work address etc. It would be much more convenient if the geodata could be divided into two datasets consisting of movement and stays respectively, so stay-related analyses such as pinpointing popular city squares wouldn't be affected by noise from movement data.This paper aims to describe the technique developed by Diverse Urban Spaces to counteract the above mentioned inconvenience by splitting the dataset into movement and stays. The paper will explain how the technique was commenced, how it works and its level of quality.

KW - GIS

KW - tracking

KW - GPS

KW - planlægning

KW - kort

KW - mobilitet

KW - Urban design

KW - GIS

KW - tracking

KW - GPS

KW - planning

KW - maps

KW - Mobility

M3 - Paper without publisher/journal

ER -

Jensen AS, Bro P, Harder H, Hansen JH, Tradisauskas N. Distinguishing movement from stays during continual GPS tracking: Danish working title: Raffinering af data fra GPS-baserede undersøgelser. 2009. Paper presented at Kortdage 2009, Kolding, Denmark.