CIM Research Workshop

Visualising our perception of urban streetscapes

28 and 30 April (10:00 a.m. - 12:00 a.m.)

Investigating how the attributes of streets influence our perception is important for the design of human-centred urban spaces. We will explore data processing and visualisation methods as well as different datasets (e.g., Google Street View, OpenStreetMap) to try and understand this interaction.

Specifically, we examine:

• How the visual features of streets relate to our perceptions of safety, beauty and liveability?

• Can we estimate these perceptions based on social vibrancy and human activity spatial data?

• Do these perceptions differ according to personal attributes such as age, gender or nationality?

  Objectives:

• Develop an approach to tackle these questions

• Explore the collection and machine learning interpretation of street view imagery with

  Python (no prior knowledge required)

• Develop an account of the relation of perceptions to street and personal attributes using

  data visualisations and statistical analysis

• Reflect on our work and on future research directions

  Program:

  Day 1:
  Introduction (20 min.)
  Group discussion (40 min.)
  Data processing and visualisation experiment (60 min.)

  Day 2:
  Data processing and visualisation experiment (75 min.)

  Seminar discussion and outlook (45 min.)