Details:

Creators:
Liu, Lee
Corporate Creators:
University of Vermont. Transportation Research Center
Subject/TRT Terms:
[+]
Behavior Geographic Information Systems Life Styles Linear Regression Analysis Spatial Analysis Walking
Publication/ Report Number:
TRC Report 14-011
Resource Type:
Tech Report
Geographical Coverage:
Vermont
Corporate Publisher:
University of Vermont. Transportation Research Center
Abstract:
This report focuses on the relationship between walking and its contributing factors by

applying spatial regression methods. Using the Vermont data from the New England

Transportation Survey (NETS), walking variables as well as 170 independent variables are

derived including some through spatial analysis with Geographic Information Systems

(GIS). Among those independent variables, people’s lifestyle and perception of the built

environment variables are included. A linear regression model is first established to serve

as a base model for comparisons with spatial regression models. The results reveal that

people’s lifestyle and perception of the built environment are significant variables

explaining Vermonters’ walking behavior. Methodologically, the results reveal that no

spatial effect is found and that there are no significant differences between the linear and

spatial regression models. Therefore, the study concludes that it may be appropriate to

apply traditional non-spatial statistical tools to analyze the relationship between walking

and its contributing factors. However, the study suggests that researchers examine

whether spatial effect exists in these inherently spatial behaviors before using only

traditional statistics. This caution is particularly relevant as methods to estimate spatial

models become more commonplace and easily available. The two spatial methods used in

this report both reveal small but different challenges.


Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:e4465934b76eb808e2e61f225ff26d60de3f50bbb4b0727e872a5f4158fdd44b
Download URL:
https://rosap.ntl.bts.gov/view/dot/29062/dot_29062_DS1.pdf
File Type:

Supporting Files

• No Additional Files

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