Division of Spatial Information Science

Smart Eco Path Finder for
Mobile GIS Users
Ko Ko Lwin and Yuji Murayama
Division of Spatial Information ScienceGraduate School of Life and Environmental Sciences
University of Tsukuba

OBJECTIVE
To develop an integrated methodology (Remote Sensing,
GIS and Spatial Web Technology) to model urban green
space walkability, which enables local residents to makespatial decision while their walking on the way.

2Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

URBAN GREEN SPACES (Improve Mental Health)
URBAN GREEN SPACES
Improve Mental HealthStudies on the relationship between nature andhealthResidents of neighborhoods with abundant green
spaces tended, on average, to enjoy better general
health (Maas et al., 2006)

More often one visits green areas, the less often one
reports sickness from stress (Grahn and Stigsdotter,2003)
Neighborhood greenness was more strongly
associated with mental health than it was withphysical health (Sugiyama, 2008)
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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

URBAN GREEN SPACES (Social Interaction and Cohesion)
URBAN GREEN SPACES
Social Interaction and Cohesion
Green spaces (especially parks) play
important roles in social interactions andcohesion• Children can play and build friendship• People can meet and talk each other• Do green exercises together

Other Benefits• Reduce cooling and heating demands• Improve air quality• Reduce storm water runoff• Enrichment of urban biodiversity• Reduce urban heat island effect• More ….
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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

ECO-CITY
ECO-CITY
Many parts of the world, new or currenturban planning activities are shifting to focus
on eco-city (Dizdaroglu et. al., 2009)
Eco-yane (Roof)In Japan, roof top greening by Daiwa Lease aims:• To reduce room temperature• To cut-off heating demands

Source: NHK Eco Channel, 2008
5Drop 2C inside the room temperature

2C

Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

SPATIAL WEB TECHNOLOGYGISGIScience

Provide theory and concept
Enhance spatial analysis
Improve spatial modeling
Adequate decision making

GIST (Geographical Information Science and Technology)
Communication& HardwareDevelopmentGISGIScience

Emergence of Internet
Development of communication technology
ISDN > ADSL > Wi-Fi access
Development of Hardware
Desktop > Laptop > Netbook > Smartphone

Mobile GIS

GIS is more accessible ….
GIS goes professional to public
Part of our daily lives
Finding closet facility, driving routes, …
Geospatially enabled society

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

SMART ECO-PATH FINDER
Focused on:
How to utilize urban green spaces with GIST (GIScience & Technology)?
How to evaluate neighborhood environmental quality with GIST?
How to find shortest paths for shopping with GIST?
How to find greenest paths for walking with GIST?

7Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

GIS A

Smart Eco-path Finder for Mobile GIS Users

2011

LIST OF DATA and DATA PROCESSING FLOW
List of Data
• ALOS-AVNR2• Building Footprint• Administrative Boundary• Road Center Line• NTT iTownpage

NDVI binary image: Greenness score calculation
iTownpage: Allocation of facility point
Road center line: Find shortest and greenest path
Building Footprint + Admin. Boundary: Construct address database
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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

NDVI INTENSITY IMAGEHigh (255)

Low (0)NDVI intensity image (DN = 0 – 255) at 10m spatial resolution
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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

NDVI BINARY IMAGE

10Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

GIS ROAD NETWORK DATA MODELGIS Road Network Data Model preparation

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

GREENNESS SCORE

Greenest path
Shortest path
3 km

S12301 kmShortest vs. Greenest
60302 km

Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

301 kmEROUTE GREENNESS SCORE
Route greenness score
10m- buffered roadGA

STARTEND

RA

Average greenness score by walking route
Average Greenness Score = ( GA / RA ) * 100

END

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

SYSTEM OVERVIEW

User Inputs

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

HOW IT WORKS

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

HOW IT WORKSShortest vs. Greenest

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

HOW IT WORKS
Multi-stop Trip Planning

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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

HOW IT WORKS

Provide aerial imagery for real-world visualization
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Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba

THANK YOU

Project home: http://giswin.geo.tsukuba.ac.jp/teacher/murayama/projects/ecowalkability/index.htm
Project URL: http://land.geo.tsukuba.ac.jp/ecowalker/

Read more: Lwin, K. K., & Murayama, Y., (2011), Modelling of Urban Green Space Walkability: Eco-friendly Walk
Score Calculator, Computers, Environment and Urban Systems, 35(5):408–420.
http://www.sciencedirect.com/science/article/pii/S0198971511000469