Upgrade to Pro — share decks privately, control downloads, hide ads and more …

MDS - Chancen für Städte

robbi5
September 02, 2019
Research
1
44

MDS - Chancen für Städte

Überblick über die Mobility Data Specification am 2. Sep. 2019 beim CityLAB Berlin

robbi5

September 02, 2019
Tweet

More Decks by robbi5

See All by robbi5
36c3: Verkehrswende selber hacken, 2019-12-30
robbi5
1
62
#ddjbw - mobilitätsdaten, 2019-10-22
robbi5
0
56
radforschung: Slidedeck Verkehrswende, Version 3
robbi5
0
470
radforschung: Slidedeck Verkehrswende, Version 1
robbi5
0
430
radforschung: Slidedeck Verkehrswende, Version 2
robbi5
0
440
bikeshed - Digital Mobility Hackathon Stuttgart, 2017-04-21
robbi5
1
3.7k
kleineAnfragen, sehrgutachten und stellungnah.me - Bundesdatenschau (mrmcd 2017), 2017-09-02
robbi5
0
79
https.jetzt! - WikiCon 2016, Kornwestheim, 2016-09-17
robbi5
0
48
sehrgutachten und kleineAnfragen, OpenTechSummit Berlin, 2016-05-05
robbi5
0
75

Other Decks in Research

See All in Research
CVPR2023 EarthVision Workshopより衛星画像関連論文紹介 / Satellite Imaging Processing Papers in CVPR2023 EarthVision Workshop
nttcom
0
110
方策の長期性能に対する 効率的なオフライン評価・学習 (Long-term Off-Policy Evaluation and Learning)
usaito
PRO
0
110
NeurIPS-23 参加報告 + DPO 解説
akifumi_wachi
4
1.4k
ニフティのインナーソース導入事例 - InnerSource Commons #11
niftycorp
PRO
0
260
第12回全日本コンピュータビジョン勉強会：画像の自己教師あり学習における大規模データセット
naok615
0
500
第4回ナレッジグラフ勉強会：ISWC2023論文読み会
kg_wakate
1
200
メタ動画データセットによる動作認識の現状と可能性
yuyay
0
170
Equivalence of Geodesics and Importance Weighting from the Perspective of Information Geometry
mkimura
0
130
Generative Spoken Dialogue Language Modeling [対話論文読み会@電通大]
yuta0306
1
130
Azure Arc-enabled Serversを利用した ハイブリッド・マルチクラウド環境の管理 / Managing Hybrid Multi-cloud Environments with Azure Arc-enabled Servers
nttcom
0
210
[Human-AI Decision Making勉強会] 説明の更新はユーザにどのような影響をもたらすか
okoso
1
150
眠眠ガチャ：ガチャを活用した睡眠意欲向上アプリの開発 / EC71inui
yumulab
0
120

Featured

See All Featured
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
501
140k
GitHub's CSS Performance
jonrohan
1023
450k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
6
990
Robots, Beer and Maslow
schacon
PRO
155
7.9k
A Modern Web Designer's Workflow
chriscoyier
688
190k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
5
1.5k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
124
32k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
226
16k
GraphQLとの向き合い方2022年版
quramy
31
12k
Debugging Ruby Performance
tmm1
70
11k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
119
38k
Fireside Chat
paigeccino
20
2.6k

Transcript

  1. MDS Chancen für Städte

  2. https://twitter.com/madeline/status/1026977578551103488

  3. https://www.rbb24.de/wirtschaft/beitrag/2019/07/e-scooter-leihroller-berlin-datenanalyse-innenstadt-aussenbezirke.html

  4. https://www.rbb24.de/politik/beitrag/2019/08/9000-e-scooter-in-berlin-mitte-friedrichshain-kreuzberg.html

  5. None

  6. Tiles © Mapbox, Daten © OpenStreetMap-Mitwirkende

  7. None

  8. MDS Mobility Data Specification

  9. https://www.youtube.com/watch?v=FpGboFSSddo

  10. github.com/CityOfLosAngeles/mobility-data-specification

  11. None

  12. provider agency

  13. provider agency Tiles © Mapbox, Daten © OpenStreetMap-Mitwirkende

  14. None

  15. geojson.io

  16. provider agency Tiles © Mapbox, Daten © OpenStreetMap-Mitwirkende

  17. None

  18. provider agency Tiles © Mapbox, Daten © OpenStreetMap-Mitwirkende

  19. provider agency Tiles © Mapbox, Daten © OpenStreetMap-Mitwirkende

  20. None

  21. radforschung.org/log