What is mixed use? Presenting an interaction method for measuring land use mix

In recent decades, the mixing of complementary land uses has become an increasingly important goal in transportation and land use planning. Land uses mix has been shown to be an influential factor in travel behavior (mode choice and distance traveled), improved health outcomes, and neighborhood-leve...

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Main Authors: Kevin Manaugh, Tyler Kreider
Format: Article
Language:English
Published: University of Minnesota 2013-04-01
Series:Journal of Transport and Land Use
Subjects:
Online Access:https://www.jtlu.org/index.php/jtlu/article/view/291
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spelling doaj-5ab53d62ae3a4707b0dac3dc3a1840ad2021-08-31T04:38:38ZengUniversity of MinnesotaJournal of Transport and Land Use1938-78492013-04-016110.5198/jtlu.v6i1.291129What is mixed use? Presenting an interaction method for measuring land use mixKevin Manaugh0Tyler Kreider1McGill UniversityMcGill UniversityIn recent decades, the mixing of complementary land uses has become an increasingly important goal in transportation and land use planning. Land uses mix has been shown to be an influential factor in travel behavior (mode choice and distance traveled), improved health outcomes, and neighborhood-level quality of life. However, quantifying the extent to which a given area is mixed-use has proven difficult. Much of the existing research on the mixing of land uses has focused on the presence and proportion of different uses as opposed to the extent to which they actually interact with one another. This study proposes a new measure of land use mix, a land use interaction method—which accounts for the extent to which complementary land uses adjoin one another—using only basic land use data. After mapping and analyzing the results, several statistical models are built to show the relationship between this new measure and reported travel behavior. The models presented show the usefulness of the approach by significantly improving the model fit in comparison to a commonly-used land use mix index, while controlling for socio-demographic and built form factors in three large Canadian cities (Vancouver, Toronto, and Montreal). Our results suggest that simple, area-based, measures of land use mix do not adequately capture the subtleties of land use mix. The degree to which an area shows fine-grained patterns of land use is shown to be more highly correlated with behavior outcomes than indices based solely on the proportions of land use categories.https://www.jtlu.org/index.php/jtlu/article/view/291mixed useactive transportationtravel behaviour
collection DOAJ
language English
format Article
sources DOAJ
author Kevin Manaugh
Tyler Kreider
spellingShingle Kevin Manaugh
Tyler Kreider
What is mixed use? Presenting an interaction method for measuring land use mix
Journal of Transport and Land Use
mixed use
active transportation
travel behaviour
author_facet Kevin Manaugh
Tyler Kreider
author_sort Kevin Manaugh
title What is mixed use? Presenting an interaction method for measuring land use mix
title_short What is mixed use? Presenting an interaction method for measuring land use mix
title_full What is mixed use? Presenting an interaction method for measuring land use mix
title_fullStr What is mixed use? Presenting an interaction method for measuring land use mix
title_full_unstemmed What is mixed use? Presenting an interaction method for measuring land use mix
title_sort what is mixed use? presenting an interaction method for measuring land use mix
publisher University of Minnesota
series Journal of Transport and Land Use
issn 1938-7849
publishDate 2013-04-01
description In recent decades, the mixing of complementary land uses has become an increasingly important goal in transportation and land use planning. Land uses mix has been shown to be an influential factor in travel behavior (mode choice and distance traveled), improved health outcomes, and neighborhood-level quality of life. However, quantifying the extent to which a given area is mixed-use has proven difficult. Much of the existing research on the mixing of land uses has focused on the presence and proportion of different uses as opposed to the extent to which they actually interact with one another. This study proposes a new measure of land use mix, a land use interaction method—which accounts for the extent to which complementary land uses adjoin one another—using only basic land use data. After mapping and analyzing the results, several statistical models are built to show the relationship between this new measure and reported travel behavior. The models presented show the usefulness of the approach by significantly improving the model fit in comparison to a commonly-used land use mix index, while controlling for socio-demographic and built form factors in three large Canadian cities (Vancouver, Toronto, and Montreal). Our results suggest that simple, area-based, measures of land use mix do not adequately capture the subtleties of land use mix. The degree to which an area shows fine-grained patterns of land use is shown to be more highly correlated with behavior outcomes than indices based solely on the proportions of land use categories.
topic mixed use
active transportation
travel behaviour
url https://www.jtlu.org/index.php/jtlu/article/view/291
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