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Planning for Urban Satisfaction.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Planning for Urban Satisfaction./
作者:	Wang, Yuanzhao.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	44 p.
附註:	Source: Masters Abstracts International, Volume: 84-01.
Contained By:	Masters Abstracts International84-01.
標題:	Urban planning. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29211393
ISBN:	9798834011866

Planning for Urban Satisfaction.
Wang, Yuanzhao.

Planning for Urban Satisfaction. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 44 p.

Source: Masters Abstracts International, Volume: 84-01.

Thesis (M.Des.)--Harvard University, 2022.

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

This paper aims to examine the strengths and weaknesses of social media platforms and proposes a vision for a better platform to invite bottom-up citizen participation in data-driven urban planning for urban satisfaction. The research proposes a method to measure the emotional response of individual citizens to the characteristics of the built environment focusing on proximity and convenience between pedestrians and nearby commercial and cultural activities. My proposed method requires a geotagged dataset with some measure of individual satisfaction with the built environment. The research demonstrates this method using Weibo posts tagged "Jiaxing", a small-sized city in China, coupled with a measure of each post's positivity, as estimated by the Baidu AI platform. The results illustrate that the combination of social media data and sentiment analysis is insufficiently specific to usefully inform planning decisions. I conclude with the proposal of a social media platform that could better measure individual satisfaction with the built environment.

ISBN: 9798834011866Subjects--Topical Terms:

2122922
Urban planning.
Subjects--Index Terms:

Big data

Planning for Urban Satisfaction.
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300 $a 44 p.
500 $a Source: Masters Abstracts International, Volume: 84-01.
500 $a Advisor: Voulgaris, Carole Turley.
502 $a Thesis (M.Des.)--Harvard University, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a This paper aims to examine the strengths and weaknesses of social media platforms and proposes a vision for a better platform to invite bottom-up citizen participation in data-driven urban planning for urban satisfaction. The research proposes a method to measure the emotional response of individual citizens to the characteristics of the built environment focusing on proximity and convenience between pedestrians and nearby commercial and cultural activities. My proposed method requires a geotagged dataset with some measure of individual satisfaction with the built environment. The research demonstrates this method using Weibo posts tagged "Jiaxing", a small-sized city in China, coupled with a measure of each post's positivity, as estimated by the Baidu AI platform. The results illustrate that the combination of social media data and sentiment analysis is insufficiently specific to usefully inform planning decisions. I conclude with the proposal of a social media platform that could better measure individual satisfaction with the built environment.
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650 4 $a Information science. $3 554358
650 4 $a Land use planning. $3 2122760
653 $a Big data
653 $a Sentiment analysis
653 $a Social media platform
653 $a Built environment
653 $a Urban planning
653 $a Urban satisfaction
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690 $a 0723
690 $a 0536
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790 $a 0084
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793 $a English
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