國立虎尾科技大學 |

Urban accessibility measurement and visualization -- A big data approach.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Urban accessibility measurement and visualization -- A big data approach./
作者:	Jiang, Yuqin.
面頁冊數:	1 online resource (54 pages)
附註:	Source: Masters Abstracts International, Volume: 56-05.
Contained By:	Masters Abstracts International56-05(E).
標題:	Geography. -
電子資源:	click for full text (PQDT)
ISBN:	9780355072365

Urban accessibility measurement and visualization -- A big data approach.
Jiang, Yuqin.

Urban accessibility measurement and visualization -- A big data approach. - 1 online resource (54 pages)

Source: Masters Abstracts International, Volume: 56-05.

Thesis (M.S.)

Includes bibliographical references

Accessibility measurement has always been an important question in different areas including transportation, urban planning, politics, and sociology. However, how to measure transportation accessibility in different areas have been limited to data availability and technology. Recently, with increasing availability in public transportation data, we found a gap between current methods and large volume of data now available. This thesis developed a new method to measure multi-mode transportation data, including taxi, bus, and subway. Based on this measurement, we can visualize and understand the spatiotemporal patterns of accessibility in New York City (NYC). With historical travel records and public transit schedule, Relative Index (RI) is developed in this thesis to measure and compare the differences in the accessibility in NYC. RI distribution patterns during different time periods were also compared and analyzed for more information about transportation in NYC. By the end of this thesis, a practical application that measured accessibility for nine major hospitals in NYC was provided. Results in this thesis showed that subways have more impacts about accessibility than bus. Also, service frequency during different time of a day has affect accessibility.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355072365Subjects--Topical Terms:

654331
Geography.
Index Terms--Genre/Form:

554714
Electronic books.

Urban accessibility measurement and visualization -- A big data approach.
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500 $a Source: Masters Abstracts International, Volume: 56-05.
500 $a Adviser: Diansheng Guo.
502 $a Thesis (M.S.) $c University of South Carolina $d 2017.
504 $a Includes bibliographical references
520 $a Accessibility measurement has always been an important question in different areas including transportation, urban planning, politics, and sociology. However, how to measure transportation accessibility in different areas have been limited to data availability and technology. Recently, with increasing availability in public transportation data, we found a gap between current methods and large volume of data now available. This thesis developed a new method to measure multi-mode transportation data, including taxi, bus, and subway. Based on this measurement, we can visualize and understand the spatiotemporal patterns of accessibility in New York City (NYC). With historical travel records and public transit schedule, Relative Index (RI) is developed in this thesis to measure and compare the differences in the accessibility in NYC. RI distribution patterns during different time periods were also compared and analyzed for more information about transportation in NYC. By the end of this thesis, a practical application that measured accessibility for nine major hospitals in NYC was provided. Results in this thesis showed that subways have more impacts about accessibility than bus. Also, service frequency during different time of a day has affect accessibility.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Geography. $3 654331
650 4 $a Transportation. $3 558117
655 7 $a Electronic books. $2 local $3 554714
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