Last updated 3/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.03 GB | Duration: 2h 19m
Data For City Planning Professionals
What you'll learn
Why, How and What about Data
Transport Datasets
Land Use Datasets
Data Visualisation
International Data Applications (various examples from London)
Data Driven Decision-Making
Emerging Data Technologies
Requirements
No
Description
This course is for city planning professionals (from graduate to executive). It will expose you to a wide spectrum of City Planning datasets and give you a taste for how we use data for decision-making in a transport and land use context.It includes:- the ideas and concepts about why we need data,- the anatomy of individual transport and land use datasets,- data visualisation,- international data applications (various examples from London), and- unpack the interplay between technology and city planning.
Overview
Section 1: WELCOME & INTRODUCTION
Lecture 1 Introduction
Lecture 2 Course Navigation
Section 2: WHY, HOW & WHAT
Lecture 3 Why How What Introduction
Lecture 4 Why we need data?
Lecture 5 How we use data?
Lecture 6 End Game Thinking
Section 3: TYPES OF DATA SOURCES
Lecture 7 Types of Data Sources Introduction
Lecture 8 Origin-Destination Data
Lecture 9 Traffic Count Data
Lecture 10 Journey Time Data
Lecture 11 Public Transport Data
Lecture 12 Transport System Data
Lecture 13 Travel Surveys
Lecture 14 Land Use Data
Section 4: DATA VISUALISATION
Lecture 15 Data Visualisation Introduction
Lecture 16 Historic Uses of Data Visualisation
Lecture 17 Geographical Information Systems
Lecture 18 Industry Applications
Lecture 19 Datashine Census
Lecture 20 Datashine Commute
Lecture 21 Parkopedia
Lecture 22 Tube Heartbeat
Lecture 23 CDRC Maps
Lecture 24 WebCAT
Lecture 25 Propensity to Cycle Tool
Lecture 26 Google Maps
Lecture 27 Targomo
Lecture 28 Uber Movement
Lecture 29 Traffic Count Platforms
Lecture 30 Crash Map
Lecture 31 Google Public Data Explorer
Section 5: EMERGING TECHNOLOGY
Lecture 32 Emerging Technology Introduction
Lecture 33 Sustainable Cities
Lecture 34 Advances in Technology
Lecture 35 Data-Driven Decision-Making
Lecture 36 Big Data & AI
Lecture 37 Gaming The Real World
Lecture 38 Computer Vision
Lecture 39 Transactional Data
Lecture 40 Mobility Solutions
Lecture 41 Location-Based Data
Lecture 42 Urban Sensors
Lecture 43 City Planning Simulation & Analytics
Section 6: WRAP UP
Lecture 44 Wrap Up and Thank You
Lecture 45 References
City Planners,Transport Planners,Urban Planners,Planning Professional,Decision Makers,Policy Advisors,Transport Professionals
Homepage
Code:
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Code:
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