Non-linear influences of the built environment on transportation emissions: Focusing on densities

Compact development is often recommended to reduce auto-dependency thereby decreasing related energy consumptions and transportation emissions. However, there could be a non-linear relationship between density and transportation emissions because of a possible non-linear association between density...

Full description

Bibliographic Details
Main Author: Jinhyun Hong
Format: Article
Language:English
Published: University of Minnesota 2015-09-01
Series:Journal of Transport and Land Use
Subjects:
Online Access:https://www.jtlu.org/index.php/jtlu/article/view/815
id doaj-3174cf449d9941bbb0be5e14a15bcfc0
record_format Article
spelling doaj-3174cf449d9941bbb0be5e14a15bcfc02021-08-31T04:37:54ZengUniversity of MinnesotaJournal of Transport and Land Use1938-78492015-09-0110110.5198/jtlu.2015.815Non-linear influences of the built environment on transportation emissions: Focusing on densitiesJinhyun Hong0University of GlasgowCompact development is often recommended to reduce auto-dependency thereby decreasing related energy consumptions and transportation emissions. However, there could be a non-linear relationship between density and transportation emissions because of a possible non-linear association between density and vehicle miles travelled (VMT); low travel speed due to congestion; and the relationship between neighborhood characteristics and vehicle characteristics (e.g., vehicle type and age). In addition, the self-selection issue can exist in the land use-transportation emissions analysis because transportation emissions are often estimated based on travel behavior. Using the 2006 Puget Sound Regional Council (PSRC) Household Activity survey, the follow-up stated preference survey, the Motor Vehicle Emission Simulator (MOVES) data, and the GIS network data, this study investigates the non-linear effects of densities on CO2 equivalent (CO2e) emissions with the consideration of self-selection. Specifically, quadratic forms of population and employment densities, different population density group indicators, and attitudinal factors are employed in the regression models. The results indicate that people living in denser neighborhoods tend to generate fewer CO2e emissions. However, this effect becomes insignificant as population density reaches a certain level.https://www.jtlu.org/index.php/jtlu/article/view/815Transportation emissionsdensitiesnon-linearityself-selection
collection DOAJ
language English
format Article
sources DOAJ
author Jinhyun Hong
spellingShingle Jinhyun Hong
Non-linear influences of the built environment on transportation emissions: Focusing on densities
Journal of Transport and Land Use
Transportation emissions
densities
non-linearity
self-selection
author_facet Jinhyun Hong
author_sort Jinhyun Hong
title Non-linear influences of the built environment on transportation emissions: Focusing on densities
title_short Non-linear influences of the built environment on transportation emissions: Focusing on densities
title_full Non-linear influences of the built environment on transportation emissions: Focusing on densities
title_fullStr Non-linear influences of the built environment on transportation emissions: Focusing on densities
title_full_unstemmed Non-linear influences of the built environment on transportation emissions: Focusing on densities
title_sort non-linear influences of the built environment on transportation emissions: focusing on densities
publisher University of Minnesota
series Journal of Transport and Land Use
issn 1938-7849
publishDate 2015-09-01
description Compact development is often recommended to reduce auto-dependency thereby decreasing related energy consumptions and transportation emissions. However, there could be a non-linear relationship between density and transportation emissions because of a possible non-linear association between density and vehicle miles travelled (VMT); low travel speed due to congestion; and the relationship between neighborhood characteristics and vehicle characteristics (e.g., vehicle type and age). In addition, the self-selection issue can exist in the land use-transportation emissions analysis because transportation emissions are often estimated based on travel behavior. Using the 2006 Puget Sound Regional Council (PSRC) Household Activity survey, the follow-up stated preference survey, the Motor Vehicle Emission Simulator (MOVES) data, and the GIS network data, this study investigates the non-linear effects of densities on CO2 equivalent (CO2e) emissions with the consideration of self-selection. Specifically, quadratic forms of population and employment densities, different population density group indicators, and attitudinal factors are employed in the regression models. The results indicate that people living in denser neighborhoods tend to generate fewer CO2e emissions. However, this effect becomes insignificant as population density reaches a certain level.
topic Transportation emissions
densities
non-linearity
self-selection
url https://www.jtlu.org/index.php/jtlu/article/view/815
work_keys_str_mv AT jinhyunhong nonlinearinfluencesofthebuiltenvironmentontransportationemissionsfocusingondensities
_version_ 1721184392793030656