Regression Analysis

Quantitative exploration of interactions between the built environment and spatial behaviour

Book Chapter (2022)
Author(s)

A. Romein (TU Delft - Spatial Planning and Strategy)

Susanne van Rijn (Speelplan)

Research Group
Spatial Planning and Strategy
More Info
expand_more
Publication Year
2022
Language
English
Related content
Research Group
Spatial Planning and Strategy
Pages (from-to)
246-262
ISBN (print)
978-94-6366-604-6
Downloads counter
238
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In many graduation projects in Spatial Planning and Strategy (SP&S), empirical research and spatial design are intertwined. This chapter introduces regression analysis; a ’family’ of related models of quantitative statistical analysis in empirical research. It is very appropriate to study interactions between the built urban environment and people’s spatial behaviour in a project location at a high level of quantitative precision. The outcomes of such quantitative studies can be very useful in urban design or planning, either in preliminary empirical research, i.e. prior to design, or in the iterative cycles of Research by Design. There are several types of regression models; which one is most appropriate for your project (if any) depends on the specific questions about that interaction you want to answer, and on the empirical data that is available for that answer.