SlideShare ist ein Scribd-Unternehmen logo
1 von 23
Downloaden Sie, um offline zu lesen
Introduction of history and community of GTFS-JP
Meeting with Leo Frachet @MobilityData
Masaki Ito @GTFS-JP, Univ. of Tokyo
• A data format for public transportation schedules and
geographic information of facilities.
• A de-fact standard used worldwide
• A single ZIP file containing multiple CSV files
GTFS (General Transit Feed Specification)
Stops and Routes Schedules Fee
Open Data Eco System
Download Open Data
Help Passnegers
GTFS repository is available
• Aggregate and archive worldwide GTFS files
– Provide API to access the data
http://transitfeeds.com https://transit.land
No GTFS Open Data in Japan in 2014
Transit App Companies in Japan
NAVITIME
Eki-spart
(VAL Laboratory)
Ekitan Jorudan
Yahoo! Transit Google Maps
Apple Maps
Provide
data
Provide partial dataProvide data
and engine
Focus on trains
Japan has a long history of a Route
Planner
1988-
Eki-spart: World first commercial route planner
1998-
Jordan Route Planner with train schedules
Established system to trade train schedules
commercially
JR
Private
Railway
Company
Train Schedule
Publisher
Train Schedule
Publisher
Transit App Developer
Private
Railway
Company
Route Bus
Agency
Route Bus
Agency
Route Bus
Agency
Private
Railway
Company
• Transit app developer need to contact
to route bus agencies directory
because there is no aggregator of bus
schedule in Japan.
• 100% coverage of route bus is not easy
Bottom up approach for Transit Open
Data is only the possible way
Shinkansen
Intercity Rail
Regional Rail,
Commuter Rail
Intercity Bus
LRT, BRT
Regional Bus/minibus
Speed, Distance,
Price,
No. of passengers
Digital data are commercially available
Data are not digitalized and opened
First GTFS Open Data in Japan in 2015
Made by Ito and Colleagues
Minibus in Shizuoka Prefecture
Owning to the OpenTrans.it
project, minibus data in Kakegawa,
Shimada, Susono were published.
Development of OpenTrans.it
by ITO and local developers in Shizuoka
Promotion of GTFS Open Data since 2015
Bus Data Commission at the Ministry of
Land, Infrastructure, Transport and Tourism
was organized in 2016
• Japanese government arranged a
commission to discuss effective collection of
route bus schedules
– Dec. 2016 to March 2017
• Chair
– Masaki Ito The Univ. of Tokyo
• Route Planner Developer
– Yoshikuni Inoue (Jorudan)
– Koji Sakurai (Ekitan)
– Masahiro Shinohara (Navitime Japan)
– Naoki Yamamoto (Val Laboratory)
• Diagram Making App Developer
– Yuichi Ichikawa (Kozo Keikaku)
– Kotaro Tanga (Kobo)
• Others
– Hiroyuki Ito (Community)
– Haruo Endo (Nihon Bus Association)
– Masakiro Bessyo (Council of Open Data for Public
Transportation)
Published 1st GTFS-JP document from the
Japanese government in March 2017
Free bus timetable maker “Sono Sujiya”
• “Sonosujiya” is free but advanced bus timetable
maker developed by Koichi Takano since 2015
• Many Japanese route bus agencies start to use to
manage route bus and to publish open data
GTFS Open Data in early 2018
Nomi City in Ishikawa Prefecture
Minibus data is published in
Jan.2017 on the official web.
Shingu Town in Fukuoka Pref.
Minibus and ferry data are
available since late 2016.
Yamanashi Prefecture
Major Route Bus
Operators(Yamanashi Kotsu
and Fuji Kyuko) opened their
data in Feb. 2017.
Uno Bus in Okayama Prefecture
GTFS and GTFS realtime are available since
2016.
Muroran City in Hokkaido
Official open data with an independent format
are converted to GTFS by the local engineer.
Cities in Shizuoka Prefecture
Owning to the OpenTrans.it
project, minibus data in Shimada
and Yaizu cities were published.
Nov. 2018: 30 Agencies
Feb. 2019: 90 agencies
Okayama: GTFS Hotspot
• Both schedule data and
realtime data (location) are
opened
Competition to open the data by bus agencies
Agency Static Realtime
Uno ✓ ✓
Shimoden ✓
Ryobi-Group
(Ryobi and Okaden)
✓ ✓
Chutetsu ✓(β)
Megurin
• あ
GTFS-Realtime data are also open
3 Prefecture offices worked to open
regional bus data in 2018
Saga Toyama Gunma
2 agencies 15 agencies 40 agencies
• Includes GTFS Realtime as
Japanese standard data format
• Publish multiple documents for
agencies, transportation
authorities etc
• Don’t make new specs, but
adopt international standards as
Japanese standard in GTFS
Realtime format
GTFS-JP Ver.2 released in March 2019
http://www.mlit.go.jp/sogoseisaku/transport/sosei_transport_tk_000067.html
• The government release
markdown files of GTFS-JP
ver.2 in addition to pdf files
• GTFS-JP community puts
the markdown into GitHub
to keep up-to-date
• The latest documents are
available online
https://www.gtfs.jp
Keep the governmental document up-to-
date by the GTFS-JP community

Weitere ähnliche Inhalte

Was ist angesagt?

1.introduction
1.introduction1.introduction
1.introductionMani Vel
 
Accessibility analysis of public transport networks in urban areas
Accessibility analysis of public transport networks in urban areasAccessibility analysis of public transport networks in urban areas
Accessibility analysis of public transport networks in urban areasMayank Bansal
 
Detailed analysis of plane table surveying
Detailed analysis of plane table surveyingDetailed analysis of plane table surveying
Detailed analysis of plane table surveyingsumitvikram
 
Air Traffic Control
Air Traffic ControlAir Traffic Control
Air Traffic ControlParth Desani
 
aircraft characteristics
aircraft characteristicsaircraft characteristics
aircraft characteristicsankur jindal
 
Traffic Alert and collision avoidance system (TCAS)
Traffic Alert and collision avoidance system (TCAS)Traffic Alert and collision avoidance system (TCAS)
Traffic Alert and collision avoidance system (TCAS)ARVIND KUMAR SINGH
 
Data input and transformation
Data input and transformationData input and transformation
Data input and transformationMohsin Siddique
 
Combiend curves of surveying
Combiend curves of surveyingCombiend curves of surveying
Combiend curves of surveyingShahIshani1996
 
Taxiway design and geometrical design of taxiway
Taxiway design and geometrical design of taxiwayTaxiway design and geometrical design of taxiway
Taxiway design and geometrical design of taxiwayBALAJI ND
 
Steps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS softwareSteps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS softwareSwetha A
 
Gis (geographic information system)
Gis (geographic information system)Gis (geographic information system)
Gis (geographic information system)Saad Bare
 
Air navigation PILOTS
Air navigation PILOTSAir navigation PILOTS
Air navigation PILOTSAditya Raut
 

Was ist angesagt? (20)

1.introduction
1.introduction1.introduction
1.introduction
 
AE8751 - Unit III.pdf
AE8751 - Unit III.pdfAE8751 - Unit III.pdf
AE8751 - Unit III.pdf
 
Railway Track Maintenance
Railway Track  MaintenanceRailway Track  Maintenance
Railway Track Maintenance
 
Accessibility analysis of public transport networks in urban areas
Accessibility analysis of public transport networks in urban areasAccessibility analysis of public transport networks in urban areas
Accessibility analysis of public transport networks in urban areas
 
Airport marking
Airport markingAirport marking
Airport marking
 
DSM PPT.pptx
DSM PPT.pptxDSM PPT.pptx
DSM PPT.pptx
 
Detailed analysis of plane table surveying
Detailed analysis of plane table surveyingDetailed analysis of plane table surveying
Detailed analysis of plane table surveying
 
Radio altimeter
Radio altimeterRadio altimeter
Radio altimeter
 
Air Traffic Control
Air Traffic ControlAir Traffic Control
Air Traffic Control
 
GPS & GIS
GPS & GISGPS & GIS
GPS & GIS
 
aircraft characteristics
aircraft characteristicsaircraft characteristics
aircraft characteristics
 
Traffic Alert and collision avoidance system (TCAS)
Traffic Alert and collision avoidance system (TCAS)Traffic Alert and collision avoidance system (TCAS)
Traffic Alert and collision avoidance system (TCAS)
 
Data input and transformation
Data input and transformationData input and transformation
Data input and transformation
 
Combiend curves of surveying
Combiend curves of surveyingCombiend curves of surveying
Combiend curves of surveying
 
Taxiway design and geometrical design of taxiway
Taxiway design and geometrical design of taxiwayTaxiway design and geometrical design of taxiway
Taxiway design and geometrical design of taxiway
 
Steps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS softwareSteps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS software
 
Gis (geographic information system)
Gis (geographic information system)Gis (geographic information system)
Gis (geographic information system)
 
Navigational aids
Navigational aidsNavigational aids
Navigational aids
 
Gis unit 3
Gis   unit 3Gis   unit 3
Gis unit 3
 
Air navigation PILOTS
Air navigation PILOTSAir navigation PILOTS
Air navigation PILOTS
 

Ähnlich wie Introduction of GTFS Open Data in Japan

The current situation of open public transportation data in Japan
The current situation of open public transportation data in JapanThe current situation of open public transportation data in Japan
The current situation of open public transportation data in JapanMasaki Ito
 
Challenges of Open Data in Japanese Public Transport
Challenges of Open Data in Japanese Public TransportChallenges of Open Data in Japanese Public Transport
Challenges of Open Data in Japanese Public TransportMasaki Ito
 
Using Big data Analytics for Improved Public Transport
Using Big data Analytics for Improved Public Transport Using Big data Analytics for Improved Public Transport
Using Big data Analytics for Improved Public Transport UN Global Pulse
 
JKR Paper_New Mobility_SPAD
JKR Paper_New Mobility_SPADJKR Paper_New Mobility_SPAD
JKR Paper_New Mobility_SPADNorma Nun
 
What i think about when i conduct research in the society
What i think about when i conduct research in the societyWhat i think about when i conduct research in the society
What i think about when i conduct research in the societyMasaki Ito
 
ITS and MaaS opportunities in USA
ITS and MaaS opportunities in USAITS and MaaS opportunities in USA
ITS and MaaS opportunities in USABusiness Finland
 
Prof. Noboru Koshizuka gfke 2014
Prof. Noboru Koshizuka gfke 2014Prof. Noboru Koshizuka gfke 2014
Prof. Noboru Koshizuka gfke 2014innovationoecd
 
2022-10_advisory-council-program-update.pdf
2022-10_advisory-council-program-update.pdf2022-10_advisory-council-program-update.pdf
2022-10_advisory-council-program-update.pdfUGPTI
 
[Transportation] 11.12. enkh, shatar (ulaanbaatar)
[Transportation] 11.12. enkh, shatar (ulaanbaatar)[Transportation] 11.12. enkh, shatar (ulaanbaatar)
[Transportation] 11.12. enkh, shatar (ulaanbaatar)shrdcinfo
 
Open Data in Russia (Open budget, Open transport, etc) for WeGO Webinar
Open Data in Russia (Open budget, Open transport, etc) for WeGO WebinarOpen Data in Russia (Open budget, Open transport, etc) for WeGO Webinar
Open Data in Russia (Open budget, Open transport, etc) for WeGO WebinarVitaly Vlasov
 
Transport modelling at SBB
Transport modelling at SBBTransport modelling at SBB
Transport modelling at SBBAntonin Danalet
 
CPaaS.io Y1 Review Meeting - Introduction
CPaaS.io Y1 Review Meeting - IntroductionCPaaS.io Y1 Review Meeting - Introduction
CPaaS.io Y1 Review Meeting - IntroductionStephan Haller
 
CPaaS.io - Overview - Final Review Meeting
CPaaS.io - Overview - Final Review MeetingCPaaS.io - Overview - Final Review Meeting
CPaaS.io - Overview - Final Review MeetingStephan Haller
 

Ähnlich wie Introduction of GTFS Open Data in Japan (20)

The current situation of open public transportation data in Japan
The current situation of open public transportation data in JapanThe current situation of open public transportation data in Japan
The current situation of open public transportation data in Japan
 
Challenges of Open Data in Japanese Public Transport
Challenges of Open Data in Japanese Public TransportChallenges of Open Data in Japanese Public Transport
Challenges of Open Data in Japanese Public Transport
 
Using Big data Analytics for Improved Public Transport
Using Big data Analytics for Improved Public Transport Using Big data Analytics for Improved Public Transport
Using Big data Analytics for Improved Public Transport
 
20150317CIU2015seto
20150317CIU2015seto20150317CIU2015seto
20150317CIU2015seto
 
JKR Paper_New Mobility_SPAD
JKR Paper_New Mobility_SPADJKR Paper_New Mobility_SPAD
JKR Paper_New Mobility_SPAD
 
What i think about when i conduct research in the society
What i think about when i conduct research in the societyWhat i think about when i conduct research in the society
What i think about when i conduct research in the society
 
SFScon19 - Rafael Aguilar - Digitransit & Open Trip Planner
SFScon19 - Rafael Aguilar - Digitransit & Open Trip PlannerSFScon19 - Rafael Aguilar - Digitransit & Open Trip Planner
SFScon19 - Rafael Aguilar - Digitransit & Open Trip Planner
 
ITS and MaaS opportunities in USA
ITS and MaaS opportunities in USAITS and MaaS opportunities in USA
ITS and MaaS opportunities in USA
 
Prof. Noboru Koshizuka gfke 2014
Prof. Noboru Koshizuka gfke 2014Prof. Noboru Koshizuka gfke 2014
Prof. Noboru Koshizuka gfke 2014
 
2021 Scholars Program: Ms. Tamiko Brim-Burnell
2021 Scholars Program: Ms. Tamiko Brim-Burnell2021 Scholars Program: Ms. Tamiko Brim-Burnell
2021 Scholars Program: Ms. Tamiko Brim-Burnell
 
2022-10_advisory-council-program-update.pdf
2022-10_advisory-council-program-update.pdf2022-10_advisory-council-program-update.pdf
2022-10_advisory-council-program-update.pdf
 
[Transportation] 11.12. enkh, shatar (ulaanbaatar)
[Transportation] 11.12. enkh, shatar (ulaanbaatar)[Transportation] 11.12. enkh, shatar (ulaanbaatar)
[Transportation] 11.12. enkh, shatar (ulaanbaatar)
 
Open Data in Russia (Open budget, Open transport, etc) for WeGO Webinar
Open Data in Russia (Open budget, Open transport, etc) for WeGO WebinarOpen Data in Russia (Open budget, Open transport, etc) for WeGO Webinar
Open Data in Russia (Open budget, Open transport, etc) for WeGO Webinar
 
Transport modelling at SBB
Transport modelling at SBBTransport modelling at SBB
Transport modelling at SBB
 
Rail Passenger Demand Forecasting - a view from the industry
Rail Passenger Demand Forecasting - a view from the industryRail Passenger Demand Forecasting - a view from the industry
Rail Passenger Demand Forecasting - a view from the industry
 
Task 10: EN TRIPS Task Force Overview & Summary
Task 10: EN TRIPS Task Force Overview & SummaryTask 10: EN TRIPS Task Force Overview & Summary
Task 10: EN TRIPS Task Force Overview & Summary
 
MassDOT Developers - Ignite Boston 6 Talk
MassDOT Developers - Ignite Boston 6 TalkMassDOT Developers - Ignite Boston 6 Talk
MassDOT Developers - Ignite Boston 6 Talk
 
Connecting the dots
Connecting the dotsConnecting the dots
Connecting the dots
 
CPaaS.io Y1 Review Meeting - Introduction
CPaaS.io Y1 Review Meeting - IntroductionCPaaS.io Y1 Review Meeting - Introduction
CPaaS.io Y1 Review Meeting - Introduction
 
CPaaS.io - Overview - Final Review Meeting
CPaaS.io - Overview - Final Review MeetingCPaaS.io - Overview - Final Review Meeting
CPaaS.io - Overview - Final Review Meeting
 

Mehr von Masaki Ito

公共交通のデジタル化の現状とMaaS、データ活用の可能性
公共交通のデジタル化の現状とMaaS、データ活用の可能性公共交通のデジタル化の現状とMaaS、データ活用の可能性
公共交通のデジタル化の現状とMaaS、データ活用の可能性Masaki Ito
 
公共交通オープンデータの現在地と今後の展望
公共交通オープンデータの現在地と今後の展望公共交通オープンデータの現在地と今後の展望
公共交通オープンデータの現在地と今後の展望Masaki Ito
 
行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた
行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた
行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかたMasaki Ito
 
公共交通データを可視化するQGIS演習
公共交通データを可視化するQGIS演習公共交通データを可視化するQGIS演習
公共交通データを可視化するQGIS演習Masaki Ito
 
サービス化に向けて進化する公共交通と沖縄のポテンシャル
サービス化に向けて進化する公共交通と沖縄のポテンシャルサービス化に向けて進化する公共交通と沖縄のポテンシャル
サービス化に向けて進化する公共交通と沖縄のポテンシャルMasaki Ito
 
データビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えよう
データビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えようデータビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えよう
データビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えようMasaki Ito
 
公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること
公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること
公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えることMasaki Ito
 
わたしの考える未来の交通事業
わたしの考える未来の交通事業わたしの考える未来の交通事業
わたしの考える未来の交通事業Masaki Ito
 
MaaSを捉えなおそう・熊本の交通を見直そう
MaaSを捉えなおそう・熊本の交通を見直そうMaaSを捉えなおそう・熊本の交通を見直そう
MaaSを捉えなおそう・熊本の交通を見直そうMasaki Ito
 
GTFSデータ整備から始める公共交通の未来像
GTFSデータ整備から始める公共交通の未来像GTFSデータ整備から始める公共交通の未来像
GTFSデータ整備から始める公共交通の未来像Masaki Ito
 
IT・データが導く新しい地域公共交通の姿を考える
IT・データが導く新しい地域公共交通の姿を考えるIT・データが導く新しい地域公共交通の姿を考える
IT・データが導く新しい地域公共交通の姿を考えるMasaki Ito
 
公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか
公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか
公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきかMasaki Ito
 
ジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組み
ジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組みジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組み
ジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組みMasaki Ito
 
日本バス情報協会の活動について
日本バス情報協会の活動について日本バス情報協会の活動について
日本バス情報協会の活動についてMasaki Ito
 
公共交通のオープンデータ化とICT企業としての役割
公共交通のオープンデータ化とICT企業としての役割公共交通のオープンデータ化とICT企業としての役割
公共交通のオープンデータ化とICT企業としての役割Masaki Ito
 
GTFS-JPを活用した総合的な路線時刻表作成の取組
GTFS-JPを活用した総合的な路線時刻表作成の取組GTFS-JPを活用した総合的な路線時刻表作成の取組
GTFS-JPを活用した総合的な路線時刻表作成の取組Masaki Ito
 
5社のGTFSをマージして、PostgreSQLにインポートしてみた
5社のGTFSをマージして、PostgreSQLにインポートしてみた5社のGTFSをマージして、PostgreSQLにインポートしてみた
5社のGTFSをマージして、PostgreSQLにインポートしてみたMasaki Ito
 
複数のGTFSを用いた時刻表アプリ
複数のGTFSを用いた時刻表アプリ複数のGTFSを用いた時刻表アプリ
複数のGTFSを用いた時刻表アプリMasaki Ito
 
ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例
ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例
ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例Masaki Ito
 
西日本豪雨で止まった「広島の公共交通情報提供」のその後
西日本豪雨で止まった「広島の公共交通情報提供」のその後西日本豪雨で止まった「広島の公共交通情報提供」のその後
西日本豪雨で止まった「広島の公共交通情報提供」のその後Masaki Ito
 

Mehr von Masaki Ito (20)

公共交通のデジタル化の現状とMaaS、データ活用の可能性
公共交通のデジタル化の現状とMaaS、データ活用の可能性公共交通のデジタル化の現状とMaaS、データ活用の可能性
公共交通のデジタル化の現状とMaaS、データ活用の可能性
 
公共交通オープンデータの現在地と今後の展望
公共交通オープンデータの現在地と今後の展望公共交通オープンデータの現在地と今後の展望
公共交通オープンデータの現在地と今後の展望
 
行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた
行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた
行政サービスにデータ資産を活かす: 公共交通データから考える行政の現場でのデータ活用のありかた
 
公共交通データを可視化するQGIS演習
公共交通データを可視化するQGIS演習公共交通データを可視化するQGIS演習
公共交通データを可視化するQGIS演習
 
サービス化に向けて進化する公共交通と沖縄のポテンシャル
サービス化に向けて進化する公共交通と沖縄のポテンシャルサービス化に向けて進化する公共交通と沖縄のポテンシャル
サービス化に向けて進化する公共交通と沖縄のポテンシャル
 
データビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えよう
データビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えようデータビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えよう
データビジュアライゼーションをきっかけに沖縄の交通の「次の一手」を考えよう
 
公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること
公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること
公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること
 
わたしの考える未来の交通事業
わたしの考える未来の交通事業わたしの考える未来の交通事業
わたしの考える未来の交通事業
 
MaaSを捉えなおそう・熊本の交通を見直そう
MaaSを捉えなおそう・熊本の交通を見直そうMaaSを捉えなおそう・熊本の交通を見直そう
MaaSを捉えなおそう・熊本の交通を見直そう
 
GTFSデータ整備から始める公共交通の未来像
GTFSデータ整備から始める公共交通の未来像GTFSデータ整備から始める公共交通の未来像
GTFSデータ整備から始める公共交通の未来像
 
IT・データが導く新しい地域公共交通の姿を考える
IT・データが導く新しい地域公共交通の姿を考えるIT・データが導く新しい地域公共交通の姿を考える
IT・データが導く新しい地域公共交通の姿を考える
 
公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか
公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか
公共交通オープンデータの現状と可能性 社会がデータを使いこなすために何をなすべきか
 
ジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組み
ジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組みジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組み
ジョルダン「乗換案内」での鉄道・バスのリアルタイム情報活用の取り組み
 
日本バス情報協会の活動について
日本バス情報協会の活動について日本バス情報協会の活動について
日本バス情報協会の活動について
 
公共交通のオープンデータ化とICT企業としての役割
公共交通のオープンデータ化とICT企業としての役割公共交通のオープンデータ化とICT企業としての役割
公共交通のオープンデータ化とICT企業としての役割
 
GTFS-JPを活用した総合的な路線時刻表作成の取組
GTFS-JPを活用した総合的な路線時刻表作成の取組GTFS-JPを活用した総合的な路線時刻表作成の取組
GTFS-JPを活用した総合的な路線時刻表作成の取組
 
5社のGTFSをマージして、PostgreSQLにインポートしてみた
5社のGTFSをマージして、PostgreSQLにインポートしてみた5社のGTFSをマージして、PostgreSQLにインポートしてみた
5社のGTFSをマージして、PostgreSQLにインポートしてみた
 
複数のGTFSを用いた時刻表アプリ
複数のGTFSを用いた時刻表アプリ複数のGTFSを用いた時刻表アプリ
複数のGTFSを用いた時刻表アプリ
 
ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例
ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例
ミャンマー国ヤンゴンにおける公共交通オープンデータ開発の取組事例
 
西日本豪雨で止まった「広島の公共交通情報提供」のその後
西日本豪雨で止まった「広島の公共交通情報提供」のその後西日本豪雨で止まった「広島の公共交通情報提供」のその後
西日本豪雨で止まった「広島の公共交通情報提供」のその後
 

Kürzlich hochgeladen

"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 

Kürzlich hochgeladen (20)

"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 

Introduction of GTFS Open Data in Japan

  • 1. Introduction of history and community of GTFS-JP Meeting with Leo Frachet @MobilityData Masaki Ito @GTFS-JP, Univ. of Tokyo
  • 2. • A data format for public transportation schedules and geographic information of facilities. • A de-fact standard used worldwide • A single ZIP file containing multiple CSV files GTFS (General Transit Feed Specification) Stops and Routes Schedules Fee
  • 3. Open Data Eco System Download Open Data Help Passnegers
  • 4. GTFS repository is available • Aggregate and archive worldwide GTFS files – Provide API to access the data http://transitfeeds.com https://transit.land
  • 5. No GTFS Open Data in Japan in 2014
  • 6. Transit App Companies in Japan NAVITIME Eki-spart (VAL Laboratory) Ekitan Jorudan Yahoo! Transit Google Maps Apple Maps Provide data Provide partial dataProvide data and engine Focus on trains
  • 7. Japan has a long history of a Route Planner 1988- Eki-spart: World first commercial route planner 1998- Jordan Route Planner with train schedules
  • 8. Established system to trade train schedules commercially JR Private Railway Company Train Schedule Publisher Train Schedule Publisher Transit App Developer Private Railway Company Route Bus Agency Route Bus Agency Route Bus Agency Private Railway Company • Transit app developer need to contact to route bus agencies directory because there is no aggregator of bus schedule in Japan. • 100% coverage of route bus is not easy
  • 9. Bottom up approach for Transit Open Data is only the possible way Shinkansen Intercity Rail Regional Rail, Commuter Rail Intercity Bus LRT, BRT Regional Bus/minibus Speed, Distance, Price, No. of passengers Digital data are commercially available Data are not digitalized and opened
  • 10. First GTFS Open Data in Japan in 2015 Made by Ito and Colleagues Minibus in Shizuoka Prefecture Owning to the OpenTrans.it project, minibus data in Kakegawa, Shimada, Susono were published. Development of OpenTrans.it by ITO and local developers in Shizuoka
  • 11. Promotion of GTFS Open Data since 2015
  • 12. Bus Data Commission at the Ministry of Land, Infrastructure, Transport and Tourism was organized in 2016 • Japanese government arranged a commission to discuss effective collection of route bus schedules – Dec. 2016 to March 2017 • Chair – Masaki Ito The Univ. of Tokyo • Route Planner Developer – Yoshikuni Inoue (Jorudan) – Koji Sakurai (Ekitan) – Masahiro Shinohara (Navitime Japan) – Naoki Yamamoto (Val Laboratory) • Diagram Making App Developer – Yuichi Ichikawa (Kozo Keikaku) – Kotaro Tanga (Kobo) • Others – Hiroyuki Ito (Community) – Haruo Endo (Nihon Bus Association) – Masakiro Bessyo (Council of Open Data for Public Transportation)
  • 13. Published 1st GTFS-JP document from the Japanese government in March 2017
  • 14. Free bus timetable maker “Sono Sujiya” • “Sonosujiya” is free but advanced bus timetable maker developed by Koichi Takano since 2015 • Many Japanese route bus agencies start to use to manage route bus and to publish open data
  • 15. GTFS Open Data in early 2018 Nomi City in Ishikawa Prefecture Minibus data is published in Jan.2017 on the official web. Shingu Town in Fukuoka Pref. Minibus and ferry data are available since late 2016. Yamanashi Prefecture Major Route Bus Operators(Yamanashi Kotsu and Fuji Kyuko) opened their data in Feb. 2017. Uno Bus in Okayama Prefecture GTFS and GTFS realtime are available since 2016. Muroran City in Hokkaido Official open data with an independent format are converted to GTFS by the local engineer. Cities in Shizuoka Prefecture Owning to the OpenTrans.it project, minibus data in Shimada and Yaizu cities were published.
  • 16. Nov. 2018: 30 Agencies
  • 17. Feb. 2019: 90 agencies
  • 19. • Both schedule data and realtime data (location) are opened Competition to open the data by bus agencies Agency Static Realtime Uno ✓ ✓ Shimoden ✓ Ryobi-Group (Ryobi and Okaden) ✓ ✓ Chutetsu ✓(β) Megurin
  • 20. • あ GTFS-Realtime data are also open
  • 21. 3 Prefecture offices worked to open regional bus data in 2018 Saga Toyama Gunma 2 agencies 15 agencies 40 agencies
  • 22. • Includes GTFS Realtime as Japanese standard data format • Publish multiple documents for agencies, transportation authorities etc • Don’t make new specs, but adopt international standards as Japanese standard in GTFS Realtime format GTFS-JP Ver.2 released in March 2019 http://www.mlit.go.jp/sogoseisaku/transport/sosei_transport_tk_000067.html
  • 23. • The government release markdown files of GTFS-JP ver.2 in addition to pdf files • GTFS-JP community puts the markdown into GitHub to keep up-to-date • The latest documents are available online https://www.gtfs.jp Keep the governmental document up-to- date by the GTFS-JP community