du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On processing GPS tracking data of spatio-temporal car movements: a case study
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0002-7512-5321
2015 (English)In: Journal of Location Based Services, ISSN 1748-9725, Vol. 9, no 4, 235-253 p.Article in journal (Refereed) Published
Abstract [en]

The advancement of GPS technology has made it possible to use GPS devices as orientation and navigation tools, but also as tools to track spatio-temporal information. GPS tracking data can be broadly applied in location-based services, such as spatial distribution of the economy, transportation routing and planning, traffic management and environmental control. Therefore, knowledge of how to process the data from a standard GPS device is crucial for further use. Previous studies have considered various issues of the data processing at the time. This paper, however, aims to outline a general procedure for processing GPS tracking data. The procedure is illustrated step by step by the processing of real-world GPS data of car movements in Borlänge in the centre of Sweden. 

Place, publisher, year, edition, pages
2015. Vol. 9, no 4, 235-253 p.
Keyword [en]
GPS tracking data, map-matching, road network, visualized map
National Category
Probability Theory and Statistics Computer and Information Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-20329DOI: 10.1080/17489725.2015.1098738Scopus ID: 2-s2.0-84946606094OAI: oai:DiVA.org:du-20329DiVA: diva2:875466
Available from: 2015-12-01 Created: 2015-12-01 Last updated: 2017-04-05Bibliographically approved
In thesis
1. Government vs Market in Sustainable Residential Development?: Microdata analysis of car travel, CO2 emission and residence location
Open this publication in new window or tab >>Government vs Market in Sustainable Residential Development?: Microdata analysis of car travel, CO2 emission and residence location
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Increasing car usage and travel demands between residential locations and destinations in order to fulfill the various needs of residents is a primary cause of CO2 emissions. To win the battle against climate change, a better understanding of the question relating to which urban residential form may most effectively mitigate the CO2 emissions is the key pathway.

This dissertation is concerned with the above problem and it mainly considers three objectives in providing insights on answering the question. The first objective is to comprehensively and microscopically understand intra-urban car travel behavior. The second objective is to estimate the induced CO2 emissions from daily intra-urban car travel and to ex-ante evaluate residential plans. The third objective is to assess whether the governmental sustainable residential development objective is aligned with the objectives of the estate market actors. To explore the research questions related to the objectives, a microdata analysis process (data collection, data assessment and transformation, data storage, data analysis and decision-making) is applied and is found essential in gaining access to key variables in exploring the answer of a preferable urban form. The dissertation offers many new solutions to various technical aspects through a microdata analysis process.

The primary contribution of this dissertation is that it outlines an operational model that comprehensively integrates the investors’ investment strategy, the residents’ choice behavior, and the governmental sustainability objective in the interest of making an ex-ante assessment of residential plans. This ex-ante assessment provides decision-support in sustainable residential development at foremost local level.

The first finding from the implementation of the model on the case study is that the market actors’ objectives are, in general, aligned with the government’s sustainable residential development objective. The second finding indicates that re-shaping the urban form into a compact city is preferable in mitigating CO2 emissions, in spite of the fact that the case city is of a polycentric urban form. These findings provide support for those advocating the compact city as the ideal for sustainable residential development, and also provide foresight on settling the answer to the preferred re-shaping of urban forms in climate change.

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2017. 140 p.
Series
Dalarna Doctoral Dissertations, 6
National Category
Social Sciences
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - transports
Identifiers
urn:nbn:se:du-24685 (URN)978-91-85941-84-1 (ISBN)
Public defence
2017-04-28, Clas Ohlson, Studenternas Hus Tenoren, Röda vägen, Borlänge, 13:00 (English)
Opponent
Supervisors
Available from: 2017-04-05 Created: 2017-04-04 Last updated: 2017-04-05Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Zhao, Xiaoyun
By organisation
Statistics
In the same journal
Journal of Location Based Services
Probability Theory and StatisticsComputer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 422 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf