Publication Cover
Arboricultural Journal
The International Journal of Urban Forestry
Volume 34, 2012 - Issue 3
224
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Shade and daylight loss to dwellings – The complaint zone

Pages 124-133 | Published online: 08 Nov 2012
 

Abstract

How close can a house be to a tree before it stimulates complaints from that household? Is there a distance beyond which households do not complain? The proximity and orientation of tree locations relative to complainant's dwellings are examined to provide information on the likely zone where a Local Authority can anticipate complaints of shade or light loss.

Unsurprisingly, more complaints were found to be stimulated by trees in the sector to the south of the homes. The western and eastern sectors contained fewer complaints and complaints from the northern sector were found to be fewest. Unexpectedly, however, I found that there were quite significant numbers of complaints about shade if trees are less than 30 m away and that these complaints are concerned with trees in all four sectors adjacent to the house (north, south, east and west).

Awareness of the distance, orientation and frequency of complaints recorded can inform landscape design by illustrating the levels of tolerance from residential development proposed in “close” proximity to trees. Tree planting design can thereby minimise dissatisfaction with trees “too near” to homes.

Notes

1. A simplified shadow path of a tree through the main part of the day.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 204.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.