A methodology to derive land use specific auto-trip emission footprints from household travel survey data. Issue 1 (1st January 2018)

• Record Type: Journal Article
• Authors: Venigalla, Mohan; Dixit, Shweta; Pulugurtha, Srinivas
• Is Part Of: Urban, planning and transport research. Volume 6:Issue 1(2018)
• Page Start: 111
• Page End: 128
• Publication Date: 2018-01-01
• Subjects: Sustainable land use -- emission footprints -- Transit Oriented Developments (TOD) -- deriving emissions from travel survey data -- land use and transportation; City planning -- Periodicals; Cities and towns -- Growth -- Periodicals; Urban renewal -- Periodicals; Cities and towns -- Research -- Periodicals; Urban transportation -- Periodicals; Cities and towns -- Growth; Cities and towns -- Research; City planning; Urban renewal; Urban transportation; Periodicals; 307.116
• DOI: 10.1080/21650020.2018.1555055
• Languages: English
• ISSNs: 2165-0020

Abstract

ABSTRACT: Regional travel-demand forecasting models are complex and cumbersome to use. Furthermore, they are also not sensitive to neighborhood level sustainable land use policies such as transit-oriented developments (TOD). There is a need for developing simple sketch planning tools and methodologies for taking measurements on the impacts of land use policies on mobility and environment. The primary objective of this research is to develop a methodology for deriving household-level emission footprints of auto travel from household travel survey data. The methodology was demonstrated by comparing and contrasting emission footprints for TOD and Non-TOD land uses in the Washington DC metropolitan area. A TOD is defined as the area encircling stations along line-haul Metrorail service. Statistical analyses indicated that Non-TOD emission footprints are significantly higher than the TOD footprints. Differences amongst pairs of TODs showed no statistical significance. Some exceptions to this generalized observation were also noted. The utility of the methodology was also demonstrated by comparing aggregate emission footprints at county level. The methodology can also be used for deriving emission footprints for any logical aggregate group of traffic analysis zones (TAZ). Thus, this research advances the utility of travel surveys to establishing baselines on emission footprints for select geographies.