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Point of Interest Foot Traffic Data and Pandemic-Induced Changes in Mobility Patterns An Exploratory Analysis of Greater Boston.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Point of Interest Foot Traffic Data and Pandemic-Induced Changes in Mobility Patterns An Exploratory Analysis of Greater Boston./
作者:
Gavel, Zachary.
面頁冊數:
1 online resource (108 pages)
附註:
Source: Masters Abstracts International, Volume: 85-03.
Contained By:
Masters Abstracts International85-03.
標題:
Transportation. -
電子資源:
click for full text (PQDT)
ISBN:
9798380337496
Point of Interest Foot Traffic Data and Pandemic-Induced Changes in Mobility Patterns An Exploratory Analysis of Greater Boston.
Gavel, Zachary.
Point of Interest Foot Traffic Data and Pandemic-Induced Changes in Mobility Patterns An Exploratory Analysis of Greater Boston.
- 1 online resource (108 pages)
Source: Masters Abstracts International, Volume: 85-03.
Thesis (M.A.)--Tufts University, 2023.
Includes bibliographical references
The COVID-19 pandemic has been a significant disrupting force, altering patterns of mobility, expediting urban outmigration to the suburbs, and changing where and when people travel. Understanding changing mobility patterns, especially for suburban households with limited transportation options, is critical to meeting the urgency of the looming climate crisis, alleviating congestion, and revitalizing local economies. Using Safegraph point of interest (POI) data for the Greater Boston region from December 2019 and December 2020, this thesis seeks to understand changes in POI visitation patterns before and throughout the COVID-19 pandemic and, in evaluating trends, examine how the pandemic has impacted individual travel demand preferences.Building on this framework, various Getis-Ord GI* hot spot analyses of spatial clusters reveal hot spots of trip origins and destinations in inner-ring suburbs of Greater Boston while areas of the urban core were experiencing visitation decline. Various spatial regression models show that in December 2019 and December 2020, the direction of the relationship between POI visitation levels, income, the percentage of a community not identifying as white, and vehicle ownership per household, changed across some sectors. More generally, this thesis demonstrates the need for a reimagined transportation system, regional economic partnerships post-pandemic, and policies that are uniquely sensitive to the needs of majority-minority communities and communities with limited personal vehicle ownership as a catalyst for economic recovery and community vibrancy.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798380337496Subjects--Topical Terms:
558117
Transportation.
Subjects--Index Terms:
COVID-19 pandemicIndex Terms--Genre/Form:
554714
Electronic books.
Point of Interest Foot Traffic Data and Pandemic-Induced Changes in Mobility Patterns An Exploratory Analysis of Greater Boston.
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Point of Interest Foot Traffic Data and Pandemic-Induced Changes in Mobility Patterns An Exploratory Analysis of Greater Boston.
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The COVID-19 pandemic has been a significant disrupting force, altering patterns of mobility, expediting urban outmigration to the suburbs, and changing where and when people travel. Understanding changing mobility patterns, especially for suburban households with limited transportation options, is critical to meeting the urgency of the looming climate crisis, alleviating congestion, and revitalizing local economies. Using Safegraph point of interest (POI) data for the Greater Boston region from December 2019 and December 2020, this thesis seeks to understand changes in POI visitation patterns before and throughout the COVID-19 pandemic and, in evaluating trends, examine how the pandemic has impacted individual travel demand preferences.Building on this framework, various Getis-Ord GI* hot spot analyses of spatial clusters reveal hot spots of trip origins and destinations in inner-ring suburbs of Greater Boston while areas of the urban core were experiencing visitation decline. Various spatial regression models show that in December 2019 and December 2020, the direction of the relationship between POI visitation levels, income, the percentage of a community not identifying as white, and vehicle ownership per household, changed across some sectors. More generally, this thesis demonstrates the need for a reimagined transportation system, regional economic partnerships post-pandemic, and policies that are uniquely sensitive to the needs of majority-minority communities and communities with limited personal vehicle ownership as a catalyst for economic recovery and community vibrancy.
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