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Planning for Urban Satisfaction.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Planning for Urban Satisfaction./
Author:	Wang, Yuanzhao.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:	44 p.
Notes:	Source: Masters Abstracts International, Volume: 84-01.
Contained By:	Masters Abstracts International84-01.
Subject:	Urban planning. -
Online resource:	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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260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
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.
590 $a School code: 0084.
650 4 $a Urban planning. $3 2122922
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
690 $a 0999
690 $a 0723
690 $a 0536
710 2 $a Harvard University. $b Advanced Studies Program. $3 3559407
773 0 $t Masters Abstracts International $g 84-01.
790 $a 0084
791 $a M.Des.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29211393