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