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FOSS4GBoston2017

 FOSS4GBoston2017

* The Development of Japanese City's Future Simulation System: My City Forecast

Toshikazu SETO

August 17, 2017
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  1. Free and Open Source Software for Geospatial (FOSS4G)
    Conference Proceedings
    Volume 17 FOSS4G 2017 Full Conference
    Proceedings (papers and posters), Boston, USA.
    Article 27
    2017
    The Development of Japanese City's Future
    Simulation System: My City Forecast
    Toshikazu Seto
    Center for Spatial Information Science, the University of Tokyo
    Hiroshi Omata
    Institute of Industrial Science, the University of Tokyo
    Yuki Fukushima
    Center for Spatial Information Science, the University of Tokyo
    Yoko Hasegawa
    Institute of Industrial Science, the University of Tokyo
    Midori Maeda
    Institute of Industrial Science, the University of Tokyo
    See next page for additional authors
    Follow this and additional works at: http://scholarworks.umass.edu/foss4g
    Part of the Geographic Information Sciences Commons, Spatial Science Commons, and the
    Urban, Community and Regional Planning Commons
    This Poster is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Free and Open Source
    Software for Geospatial (FOSS4G) Conference Proceedings by an authorized editor of ScholarWorks@UMass Amherst. For more information, please
    contact [email protected].
    Recommended Citation
    Seto, Toshikazu; Omata, Hiroshi; Fukushima, Yuki; Hasegawa, Yoko; Maeda, Midori; and Sekimoto, Yoshihide (2017) "The
    Development of Japanese City's Future Simulation System: My City Forecast," Free and Open Source Software for Geospatial (FOSS4G)
    Conference Proceedings: Vol. 17 , Article 27.
    Available at: http://scholarworks.umass.edu/foss4g/vol17/iss1/27

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  2. The Development of Japanese City's Future Simulation System: My City
    Forecast
    Optional Cover Page Acknowledgements
    This research was supported by JSPS KAKENHI (grant number 17H00839).
    Authors
    Toshikazu Seto, Hiroshi Omata, Yuki Fukushima, Yoko Hasegawa, Midori Maeda, and Yoshihide Sekimoto
    This poster is available in Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings:
    http://scholarworks.umass.edu/foss4g/vol17/iss1/27

    View Slide

  3. The Development of Japanese City’s Future Simulation System: My City
    Forecast
    Toshikazu Setoa,∗, Hiroshi Omatab, Yuki Fukushimaa, Yoko Hasegawab, Midori Maedab,
    Yoshihide Sekimotob
    aCenter for Spatial Information Science, the University of Tokyo
    bInstitute of Industrial Science, the University of Tokyo
    Abstract: In recent years, the optimization of urban management due to the rapid pop-
    ulation decline has been one of the major issues in Japan. Future population estimation and
    related statistical information, such as the location information of the public facility is now
    available to open. However, open data utilization in the urban planning field is not advanced in
    comparison with other countries. We constructed the Web system using FOSS4G that citizens
    can be the future image of the city to operate on their own. It used mainly below FOSS4G
    tools; OpenLayers, PostGIS, Pgrouting and Geocolor. The collected data calculated in advance,
    and the default mode for displaying a simulation result in the 500m mesh unit. In addition to
    there is a customized mode to be re-calculated using the geodata that citizen is uploading open
    geospatial data. In the customization mode, to choose the residence induction region arbitrarily,
    it is possible to more detailed simulation by inputting the future urban areas. We also held
    a workshop for Japanese citizens the variety of stakeholders, it was also able to get feedback
    on the functional requirements.For the ordinary citizens are not familiar with GIS, to be able
    to display an easy-to-understand the future of the region have been evaluated. However, also
    revealed that the operation of the customized version feels as difficult to use, such as difficult
    legend of adjustment.
    Poster Download: http://scholarworks.umass.edu/foss4g/vol17/iss1/27
    ∗Corresponding author
    Email address: [email protected] (Toshikazu Seto)
    Submitted to FOSS4G 2017 Conference Proceedings, Boston, USA. September 20, 2017

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  4. Toshikazu*Seto1 ,#Hiroshi#Omata2,#Yuki#Fukushima1,#Yoko#Hasegawa2,#Midori#Maeda2 and#Yoshihide#Sekimoto2
    1:#Center#for#Spatial#Information#Science,#the#University#of#Tokyo,# Email:#[email protected]
    2:#Institute#of#Industrial#Science,#the#University#of#Tokyo
    In#recent#years,#the#optimization#of#urban#
    management#due#to#the#rapid#population#decline#has#
    been#one#of#the#major#issues#in#Japan.#Future#population#
    estimation#and#related#statistical#information,#such#as#
    the#location#information#of#the#public#facility#is#now#
    available#to#open.#
    . . . . / ( . . ': : . : .
    ) ' .   / . .
    MyCityForecast-(MCF)
    Introduction
    We#constructed#the#Web#system#using#FOSS4G#that#
    citizens#can#be#the#future#image#of#the#city#to#operate#
    on#their#own.#The#collected#data#calculated#in#advance,#
    and#the#default#mode#for#displaying#a#simulation#result#
    in#the#500m#mesh#unit.
    *#We#are#developed#and#opened#1,670#local#governments;#97%#of#
    all#Japanese#cities.#
    “customization”#allows#the#user#to#tailor#the#system#to#
    local#(geographic)#areas#and#conditions.#In#particular,#the#
    “residential#advancement#district”#has#different#ideas#in#
    various#peoples#situation,#and#reHsimulation#is#necessary.#
    MCF-Customize-Version
    Main%Framework Library%(JavaScript)
    1   OpenLayers.js
    5 5     D3.js
    5 90 /   Geocolor.js
    5 902   Geo_tools.js
    0 5 92 0   Codemirror.js
    0.-­3 50     Jquery (Jqplot)
    The-simulation-model-of-MyCityForecast
    3.#Maintenance#policy#
    of#facilities
    How$much$population$can$you$
    keep$urban$facilities?
    → Reflect$in$the$facility$
    placement$estimation$of$
    "planned$urban$structure"
    Enter$the$1$km$
    population$
    density
    2.#Areas#leading#to#Residence
    Which$area$in$you$want$to$
    populate$in$the$city$?
    →Reflect$in$the$
    population$ estimate$of$
    "planned$urban$structure"
    Select$the$mesh$which$
    you$want$to$populate
    1. Adding#Data#on#the#Map
    →$Reflect$on$the$map$
    layer$selection$area
    Upload$GeoJSON or$Shapefile.$
    Overlay$map
    Summary-of-MyCityForecast-Customize-Version
    Step1.'Select'the'area
    (500m'square'grid)
    Step2.'Select'the'future'
    year
    Step3.'Compare'the'
    three'types'of'results'
    simulated'in'14'factors
    Step4.'Register'your'
    opinions
    14'factors'such'as'
    population''
    (total/elder/youth),'
    accessibility'to'9'
    urban'facilities,'
    green'environment,'
    and'administrative'
    cost
    Three'types'of'
    results'(current/'
    without'compact'
    city'plan/'with'
    compact'city'plan)
    Estimated)
    population)
    distribution
    Assuming( that(specific(areas(are(
    designated(as(residential(areas
    Estimated)the)
    locations)of)
    urban)facilities
    Judging( whether(urban(facilities(can(
    maintain(their(functions(by(
    population( around(them
    Administrative)
    costs
    On(the(basis(of(estimated(
    population( distribution( and(
    location(changes(of(urban(facilities
    14)indicators)of)living)environment
    input
    output
    Population distribution(Land(use(plans(
    Green(land(distribution(Urban(facility(distribution
    Administrative(cost(information(Public(transportation(system
    2015 value Current status
    Business%As%Usual%Ver. Case without%any%plans%(BAU)%
    Compactized Ver. Case with%concept%of%compact%city%
    The-basic-web-interface-of-MyCityForecast
    MCF-Workshop-with-Citizens
    We#held#a#workshop#with#the#administration#H
    citizens#in#three#areas#this#year#(Okayama,#Shimane#and#
    Toyama).#In#particular,#the#simulation#customizing#the#
    residential#guidance#area#creates#an#important#
    discussion#for#future#planning.#It#is#expected#to#be#used#
    in#the#policy#of#aging,#disaster#prevention,#child#rearing.
    Deduction%specialized%for%disaster%
    countermeasures
    Aggregate%nursing%care%facilities%
    and%medical%facilities
    Residential
    advancement
    district
    Community amenity
    advancement district
    However,#open#data#utilization#
    in#the#urban#planning#field#is#not#
    advanced#in#comparison#with#
    other#countries#and#big#gap#
    between#planner#and#citizen#for#
    urban#planning#in#Japanese#local#
    government.
    Image#of#compact#city#(From#Ministry#of#
    Land,#Infrastructure,#Transport#and#Tourism)

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