Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data

Joris Berg van den; B.J. Köbben; Sander Drift van der; Luc Johannes Josephus Wismans

doi:10.1007/978-3-319-71470-7_10

Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data

Joris Berg van den , B.J. Köbben, Sander Drift van der, Luc Johannes Josephus Wismans

Department of Geo-information Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

13 Citations (Scopus)

58 Downloads (Pure)

Abstract

This research combines spatiotemporal traffic and population distribution data in a dynamic isochrone map. To analyze the number of people who have access to a given area or location within a given time, two spatiotemporal variations should ideally be taken into account: (1) variation in travel time, which tend to differ throughout the day as a result of changing traffic conditions, and (2) variation in the location of people, as a result of travel. Typically, accessibility research includes neither one or only variation in travel time. Until recently, we lacked insight in where people were located throughout the day. However, as a result of new data sources like GSM data, the opportunity arises to investigate how variation in traffic conditions and variation in people’s location influences accessibility through space and time. The novelty of this research lies in the combination of spatiotemporal traffic data and spatiotemporal population distribution data presented in a dynamic isochrone web map. A case study is used for the development of this isochrone map. Users can dynamically analyze the areas and people who can reach various home interior stores in the Netherlands within a given time, taking into account traffic conditions and the location of people throughout the day.

Original language	English
Title of host publication	Progress in Location Based Services 2018
Editors	Peter Kiefer, Haosheng Huang, Nico Van de Weghe, Martin Raubal
Publisher	Springer
Pages	195-209
Number of pages	15
ISBN (Electronic)	978-3-319-71470-7
ISBN (Print)	978-3-319-71469-1
DOIs	https://doi.org/10.1007/978-3-319-71470-7_10
Publication status	Published - 2018
Event	14th International Conference on Location Based Services 2018 - ETH Zurich, Zurich, Switzerland Duration: 15 Jan 2018 → 17 Jan 2018 Conference number: 14 http://lbs18.ethz.ch/

Publication series

Name	Lecture Notes in Geoinformation and Cartography
ISSN (Print)	1863-2351

Conference

Conference	14th International Conference on Location Based Services 2018
Abbreviated title	LBS 2018
Country/Territory	Switzerland
City	Zurich
Period	15/01/18 → 17/01/18
Internet address	http://lbs18.ethz.ch/

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10.1007/978-3-319-71470-7_10

Cite this

Berg van den , J., Köbben, B. J., Drift van der, S., & Wismans, L. J. J. (2018). Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data. In P. Kiefer, H. Huang, N. Van de Weghe, & M. Raubal (Eds.), Progress in Location Based Services 2018 (pp. 195-209). (Lecture Notes in Geoinformation and Cartography). Springer. https://doi.org/10.1007/978-3-319-71470-7_10

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title = "Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data",

abstract = "This research combines spatiotemporal traffic and population distribution data in a dynamic isochrone map. To analyze the number of people who have access to a given area or location within a given time, two spatiotemporal variations should ideally be taken into account: (1) variation in travel time, which tend to differ throughout the day as a result of changing traffic conditions, and (2) variation in the location of people, as a result of travel. Typically, accessibility research includes neither one or only variation in travel time. Until recently, we lacked insight in where people were located throughout the day. However, as a result of new data sources like GSM data, the opportunity arises to investigate how variation in traffic conditions and variation in people{\textquoteright}s location influences accessibility through space and time. The novelty of this research lies in the combination of spatiotemporal traffic data and spatiotemporal population distribution data presented in a dynamic isochrone web map. A case study is used for the development of this isochrone map. Users can dynamically analyze the areas and people who can reach various home interior stores in the Netherlands within a given time, taking into account traffic conditions and the location of people throughout the day.",

author = "{Berg van den}, Joris and B.J. K{\"o}bben and {Drift van der}, Sander and Wismans, {Luc Johannes Josephus}",

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doi = "10.1007/978-3-319-71470-7_10",

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Berg van den , J, Köbben, BJ, Drift van der, S & Wismans, LJJ 2018, Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data. in P Kiefer, H Huang, N Van de Weghe & M Raubal (eds), Progress in Location Based Services 2018. Lecture Notes in Geoinformation and Cartography, Springer, pp. 195-209, 14th International Conference on Location Based Services 2018, Zurich, Switzerland, 15/01/18. https://doi.org/10.1007/978-3-319-71470-7_10

Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data. / Berg van den , Joris; Köbben, B.J.; Drift van der, Sander et al.
Progress in Location Based Services 2018. ed. / Peter Kiefer; Haosheng Huang; Nico Van de Weghe; Martin Raubal. Springer, 2018. p. 195-209 (Lecture Notes in Geoinformation and Cartography).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - This research combines spatiotemporal traffic and population distribution data in a dynamic isochrone map. To analyze the number of people who have access to a given area or location within a given time, two spatiotemporal variations should ideally be taken into account: (1) variation in travel time, which tend to differ throughout the day as a result of changing traffic conditions, and (2) variation in the location of people, as a result of travel. Typically, accessibility research includes neither one or only variation in travel time. Until recently, we lacked insight in where people were located throughout the day. However, as a result of new data sources like GSM data, the opportunity arises to investigate how variation in traffic conditions and variation in people’s location influences accessibility through space and time. The novelty of this research lies in the combination of spatiotemporal traffic data and spatiotemporal population distribution data presented in a dynamic isochrone web map. A case study is used for the development of this isochrone map. Users can dynamically analyze the areas and people who can reach various home interior stores in the Netherlands within a given time, taking into account traffic conditions and the location of people throughout the day.

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Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data

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