Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region

Bibliographic Details
Main Author: Hu, Yajie
Language:English
Published: University of Cincinnati / OhioLINK 2019
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554212469614412
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15542124696144122021-08-03T07:09:47Z Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region Hu, Yajie Urban Planning Travel behavior Transportation equity Transportation resilience Ordinary Least Square model K-means cluster analysis Transportation equity has been studied for decades while transportation resilience is a relatively new topic. However, lack of detailed measurements that define the fulfillment, or the degree of accomplishment, of transportation system equity and resilience still exist. This thesis aims to explore equity and resilience of transportation network though modeling travel behavior.To better understand how transportation equity is reflected in terms of average trip distance and number of trips for each household with auto and non-auto modes, K-means cluster analysis is applied to classify all census tracts into different clusters based on their socio-characteristics. To achieve the research objective, an Ordinary Least Square model is applied to analyze the travel behavior’s correlation with transportation equity and transportation resilience by using data from the OKI Survey, OKI traffic crash database, and the 2010 US Census.The result shows that families with low household income or living in less privileged environments would travel shorter distance on average with a smaller number of auto trips (although no significant finding for cluster indicator regarding number of journeys), and tend to take more trips using non-auto transportation modes such as public transit, bicycling, or walking. Also, the higher the accident density, the longer the average auto trip distance, and the fewer the trips. Such result indicates transportation equity and transportation resilience are not very well fulfilled within the OKI region. 2019-07-09 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554212469614412 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554212469614412 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Urban Planning
Travel behavior
Transportation equity
Transportation resilience
Ordinary Least Square model
K-means cluster analysis
spellingShingle Urban Planning
Travel behavior
Transportation equity
Transportation resilience
Ordinary Least Square model
K-means cluster analysis
Hu, Yajie
Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region
author Hu, Yajie
author_facet Hu, Yajie
author_sort Hu, Yajie
title Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region
title_short Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region
title_full Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region
title_fullStr Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region
title_full_unstemmed Exploring Equity and Resilience of Transportation Network through Modeling Travel Behavior: A Study of OKI Region
title_sort exploring equity and resilience of transportation network through modeling travel behavior: a study of oki region
publisher University of Cincinnati / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554212469614412
work_keys_str_mv AT huyajie exploringequityandresilienceoftransportationnetworkthroughmodelingtravelbehaviorastudyofokiregion
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