spatial analysis and geovisualisation for active transport
TRANSCRIPT
Spatial Analysis and
Geovisualisation for
Active Transport
Kia ora
Long Chen, PhD student, School of Surveying, University of Otago
Assoc. Prof. Antoni. Moore, School of Surveying, University of Otago
Assoc. Prof. Sandra. Mandic, School of Physical Education, Sport and
Exercise Sciences, Active Living Laboratory, University of Otago
Active Transport to School(ATS) and factors affecting ATS
Active transport to school• Convenient way for children to reach daily physical activity level• Start a life-long exercise habit
Active Transport to School(ATS) and factors affecting ATS
BEATS Study and BEATS-2 Study
BEATS STUDY: Built Environment and Active Transport to SchoolConducted in Dunedin, New Zealand, 2014--2017
Focus on:• understanding the reasons of adolescents’ choice of transport mode to school• examining interaction between
• examining the policy factors barriers or enablers of ATS in adolescents
BEATS Study and BEATS-2 Study
BEATS STUDY:Conducted in Dunedin, New Zealand, 2014--2017
GIS in ATS:• Factor demonstration• Simple spatial analysis
BEATS Study and BEATS-R Study
BEATS-R Study
• Rural area: 11 towns in Otago region• use the original BEATS Study research methodology• examine the difference between urban and rural
Research Gap in ATS and GIS
In previous ATS research, GIS has been used in terms of
demonstration and mapping
Research gap• Visualisation and exploration analytics of ATS distribution and spatial patterns• Quantitative spatial analysis of ATS in a 2D geographical sense• Urban-Rural difference comparison• A decision making package for local government and schools
Knowledge gaps and outline of the research
Urban Rural
Comparison
R
Urban-Rural Comparison
Project objective 1
ATS distribution and pattern mapping and exploration and visualisation
Factors need to be mapped
• Students’ route to school
• Social economic status
• Land use mix
• Residential density
• Intersections
• Etc.
Project objective 1
ATS distribution and pattern mapping and exploration and visualisation
Method
• Kernel density
• Clustering
• Interpolation
• Local indicators of spatial association(LISA)
Project objective 2
Visual analytics and localised quantitative spatial analysis modelling
Target is to find out the relationship between ATS and the correlates by
applying:
• Exploratory visualisation and analytics
• Local spatial regression analysis
• Non-spatial influences analysis
Project objective 2
Visual analytics and localised quantitative spatial analysis modelling
Method:
• Geographical visual exploration tools: GeoVIS, eXplorer
• Geographically weighted regression (GWR)
• Decision Making Trial and Evaluation Laboratory (DEMATEL)
Project objective 3
Urban-rural comparison of BEATS Study and BEATS-R Study
Target is to see any difference on the choice of ATS and the factors of ATS
choices in urban and rural area
Method:
• Same method as objective 1&2
Project objective 4
Geovisualisation and decision making support package
Target is to create a decision making support package for local
government and schools for future advise
• Geovisualisation of spatial analysis results
• Interactive visualisation package
• Description story
Project objective 4
Geovisualisation and decision making support package
Method
• Cartogram maps
• Flow maps
• Scatterplots/tables/images/graphs
• Web-GIS based techniques
• ESRI Story Maps etc.
Some Map Results
Proposed outcomes
• Results of spatial and non-spatial analysis of the relationship between
adolescents’ choice of ATS and the factors which will affect the choice
• The comparison result between BEATS Study and BEATS-R Study
over space
• A decision making support geovisualisation package for local
government and school
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THANK YOU