Using Text Analytics to Apprehend Urban Sustainability Development

58 Pages Posted: 18 Mar 2020

See all articles by Picheng Lee

Picheng Lee

Pace University - Department of Accounting

Gary Kleinman

Montclair State University - School of Business

Chu-hua Kuei

Pace University - Lubin School of Business

Date Written: February 8, 2020

Abstract

This research aims to specify critical urban sustainability issues by mining unstructured text data derived from the C40 city datasets of the Carbon Disclosure Project. The current study identifies underlying topical issues exhibited by text corpora, enables creation of smarter data visualizations, and forms useful profiles. Four underlying topical areas are examined: economic opportunities, climate risks, incentives to reduce greenhouse gas emissions, and emissions reduction activities. For each area, we built text data visualization profiles. Developing these text data visualization profiles enables greater attention to be paid to the list of topical issues shown in the profiles. Given the number of discovered topic issues, we generate an urban sustainability activity index and use it to identify which cities were detailing their actions toward becoming more sustainable cities. The city officials and municipal planners of either C40 or non-C40 cities worldwide can benchmark this study and put the process of text data visualization at the center of their process of generating citywide sustainable development.

Keywords: Sustainable Development, Text Analytics, Data Visualization, Carbon Disclosure Project, Urban Sustainability

JEL Classification: C02, C55, R11

Suggested Citation

Lee, Picheng and Kleinman, Gary and Kuei, Chu-hua, Using Text Analytics to Apprehend Urban Sustainability Development (February 8, 2020). Available at SSRN: https://ssrn.com/abstract=3536603 or http://dx.doi.org/10.2139/ssrn.3536603

Picheng Lee (Contact Author)

Pace University - Department of Accounting ( email )

1 Pace Plaza
New York, NY 10038-1502
United States

Gary Kleinman

Montclair State University - School of Business ( email )

Upper Montclair, NJ 07043
United States

Chu-hua Kuei

Pace University - Lubin School of Business ( email )

1 Pace Plaza
New York, NY 10038-1502
United States

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