東華大學圖書館 |

Accessibility in Motion: Measuring Real-Time Accessibility With High-Resolution Data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Accessibility in Motion: Measuring Real-Time Accessibility With High-Resolution Data./
作者:	Liu, Luyu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	197 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
標題:	Sustainability. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30747439
ISBN:	9798380370356

Accessibility in Motion: Measuring Real-Time Accessibility With High-Resolution Data.
Liu, Luyu.

Accessibility in Motion: Measuring Real-Time Accessibility With High-Resolution Data. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 197 p.

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

Thesis (Ph.D.)--The Ohio State University, 2023.

This item must not be sold to any third party vendors.

Accessibility is a fundamental measure in public transportation research and policy making; it represents a user's ability to travel and reach destination afforded by a public transit service. Accessibility plays a crucial role in a public transit service's useability, a community's livability, and residents' well-being. Higher accessibility can promote modal shifts from other unsustainable transportation to public transit, which decreases the carbon and air pollution, curbs congestion, and improves social equity and public health. However, many US cities still have major gaps in public transit accessibility and reliability. The issue of inadequate public transportation accessibility and reliability also remains a grave concern for scientific and planning communities: the lack of in-depth, holistic, and reliable understanding of accessibility impedes our ability to make informed and evidence-based decisions during both the planning and operation phases.In this dissertation, I introduce a new research framework - real-time accessibility - to better understand and improve public transit systems with high-resolution real-time geospatial data. The framework utilizes real-time information to assess different dimensions of system performance of public transit services and behaviors of passengers in the systems. I investigate four empirical questions with the framework based on the Central Ohio Transit Authority (COTA) bus system in Columbus, Ohio, a low-frequency bus system in a typical mid-size car-dependent city. First, I study the impact of new dockless scooter sharing services on local public transit systems. While they can{A0}significantly improve accessibility, equity and sustainability issues such as uneven distribution, high cost, and low capacity limit the collaboration between public transit and scooters. Second, I study the unreliability of public transit systems and the unrealistic assumptions made by schedule-based and retrospective-based measures used by researchers and planners leveraging new high-resolution public transit data. I introduce a more realistic measure - realizable real-time accessibility - based on the space-time prism concept from time geography. I find that public transit accessibility is highly unreliable, and realizable accessibility is the most conservative and realistic measure, which provides a more robust guide for transit planning. Third, I examine the impacts of short- and longterm disruptions on the accessibility and reliability in the COTA bus system with the same realizable accessibility and unreliability measures introduced in the last paper. I study Ohio State football games and the COVID-19 as examples for short- and long-term disruptions, respectively. The method effectively detects that football games caused system disturbances and COVID-19 had persistent negative impacts on accessibility and reliability. Fourth, in response to the higher frequencies and uncertainties of future disruptions, I introduce accessibility derivative, a measure that calculates the change in system-wide accessibility from an elemental change in the transit system's inputs. The system provides crucial information about the direct impacts of potential disruptions and service cuts on overall accessibility, as well as each route's contribution to accessibility. This dissertation makes conceptual and analytical contributions to offer a more realistic, holistic, and evidence-based approach to evaluate public transit accessibility and reliability. Furthermore, the methods and results can also guide planners and policymakers in{A0}evaluating and redesigning transit systems to improve accessibility, service performance, and capacity.

ISBN: 9798380370356Subjects--Topical Terms:

1029978
Sustainability.
Subjects--Index Terms:

Accessibility

Accessibility in Motion: Measuring Real-Time Accessibility With High-Resolution Data.
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520 $a Accessibility is a fundamental measure in public transportation research and policy making; it represents a user's ability to travel and reach destination afforded by a public transit service. Accessibility plays a crucial role in a public transit service's useability, a community's livability, and residents' well-being. Higher accessibility can promote modal shifts from other unsustainable transportation to public transit, which decreases the carbon and air pollution, curbs congestion, and improves social equity and public health. However, many US cities still have major gaps in public transit accessibility and reliability. The issue of inadequate public transportation accessibility and reliability also remains a grave concern for scientific and planning communities: the lack of in-depth, holistic, and reliable understanding of accessibility impedes our ability to make informed and evidence-based decisions during both the planning and operation phases.In this dissertation, I introduce a new research framework - real-time accessibility - to better understand and improve public transit systems with high-resolution real-time geospatial data. The framework utilizes real-time information to assess different dimensions of system performance of public transit services and behaviors of passengers in the systems. I investigate four empirical questions with the framework based on the Central Ohio Transit Authority (COTA) bus system in Columbus, Ohio, a low-frequency bus system in a typical mid-size car-dependent city. First, I study the impact of new dockless scooter sharing services on local public transit systems. While they can{A0}significantly improve accessibility, equity and sustainability issues such as uneven distribution, high cost, and low capacity limit the collaboration between public transit and scooters. Second, I study the unreliability of public transit systems and the unrealistic assumptions made by schedule-based and retrospective-based measures used by researchers and planners leveraging new high-resolution public transit data. I introduce a more realistic measure - realizable real-time accessibility - based on the space-time prism concept from time geography. I find that public transit accessibility is highly unreliable, and realizable accessibility is the most conservative and realistic measure, which provides a more robust guide for transit planning. Third, I examine the impacts of short- and longterm disruptions on the accessibility and reliability in the COTA bus system with the same realizable accessibility and unreliability measures introduced in the last paper. I study Ohio State football games and the COVID-19 as examples for short- and long-term disruptions, respectively. The method effectively detects that football games caused system disturbances and COVID-19 had persistent negative impacts on accessibility and reliability. Fourth, in response to the higher frequencies and uncertainties of future disruptions, I introduce accessibility derivative, a measure that calculates the change in system-wide accessibility from an elemental change in the transit system's inputs. The system provides crucial information about the direct impacts of potential disruptions and service cuts on overall accessibility, as well as each route's contribution to accessibility. This dissertation makes conceptual and analytical contributions to offer a more realistic, holistic, and evidence-based approach to evaluate public transit accessibility and reliability. Furthermore, the methods and results can also guide planners and policymakers in{A0}evaluating and redesigning transit systems to improve accessibility, service performance, and capacity.
590 $a School code: 0168.
650 4 $a Sustainability. $3 1029978
650 4 $a Transportation. $3 555912
650 4 $a Geography. $3 524010
650 4 $a Geographic information science. $3 3432445
650 4 $a Urban planning. $3 2122922
653 $a Accessibility
653 $a Public transit
653 $a Geospatial data science
653 $a Micromobility
653 $a Real-time data
653 $a Reliability
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710 2 $a The Ohio State University. $b Geography. $3 1678558
773 0 $t Dissertations Abstracts International $g 85-03B.
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791 $a Ph.D.
792 $a 2023
793 $a English
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