Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications

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Material Information

Title:
Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications
Physical Description:
1 online resource (20 p.)
Language:
english
Creator:
Zielstra, Dennis W
Publisher:
University of Florida
Place of Publication:
Gainesville, Fla.
Publication Date:

Thesis/Dissertation Information

Degree:
Doctorate ( Ph.D.)
Degree Grantor:
University of Florida
Degree Disciplines:
Forest Resources and Conservation
Committee Chair:
HOCHMAIR,HARTWIG H
Committee Co-Chair:
SMITH,SCOT EARLE
Committee Members:
STEIN,TAYLOR VERNE
ABD-ELRAHMAN,AMR H
PENG,ZHONG-REN

Subjects

Subjects / Keywords:
content -- generated -- geographic -- information -- openstreetmap -- pedestrian -- quality -- routing -- user -- volunteered
Forest Resources and Conservation -- Dissertations, Academic -- UF
Genre:
Forest Resources and Conservation thesis, Ph.D.
bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract:
In this study the quality, suitability and usability of User Generated Content (UGC) for routing applications is evaluated by retrieving and analyzing Volunteered Geographic Information (VGI) from different internet sources and applications such as OpenStreetMap, Flickr and Panoramio. The main hypothesis, that Volunteered Geographic Information can complement proprietary data sources and in consequence improve the usability of selected routing applications, has been tested in a variety of approaches and case studies during the research process. In a first case study, the shortest pedestrian path results for a selected number of routes utilizing different datasets in a variety of US and German cities are compared, evaluated and tested for significance,highlighting one of the major advantages of VGI and in particular OpenStreetMap (OSM). The second case study evaluates the pedestrian accessibility to transit stations for different cities based on a variety of proprietary, governmental and VGI datasets, again, highlighting the impact of VGI on the accurate assessment of pedestrian information. In a third case study the impact of data imports to VGI projects such as OSM was investigated in more detail. The results showed that the imported data, which tends to be inaccurate and obsolete, is mostly not being updated by the project members, whereas other new features, such as hiking trails, are more commonly added by the community. The fourth case study focuses on VGI contributor behavior and evaluates whether the analysis of data contributions can help to detect and delineate home regions for a selected number of highly active voluntary contributors in OSM. The utilized clustering method in this study successfully delineated home from external contributor areas. Lastly, the fifth case study evaluates the positional accuracy of geotagged Flickr and Panoramio images for different world regions,revealing that Panoramio images tend to be more accurate, possibly due to a more geospatially aware user community. The findings collected in this study have shown that VGI can be a valuable source of information for a plethora of projects and applications. However, the heterogeneous data quality will always require a case to case evaluation of the dataset for the project of interest.
General Note:
In the series University of Florida Digital Collections.
General Note:
Includes vita.
Bibliography:
Includes bibliographical references.
Source of Description:
Description based on online resource; title from PDF title page.
Source of Description:
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The University of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Statement of Responsibility:
by Dennis W Zielstra.
Thesis:
Thesis (Ph.D.)--University of Florida, 2014.
Local:
Adviser: HOCHMAIR,HARTWIG H.
Local:
Co-adviser: SMITH,SCOT EARLE.
Electronic Access:
RESTRICTED TO UF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE UNTIL 2015-05-31

Record Information

Source Institution:
UFRGP
Rights Management:
Applicable rights reserved.
Classification:
lcc - LD1780 2014
System ID:
UFE0046436:00001