FOSS4GBoston2017

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

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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 scholarworks@library.umass.edu. 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
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
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: tosseto@csis.u-tokyo.ac.jp (Toshikazu Seto) Submitted to FOSS4G 2017 Conference Proceedings, Boston, USA. September 20, 2017
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:#tosseto@csis.uHtokyo.ac.jp 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)