Using text analytics to apprehend urban sustainability development
Bibliographic Data
| ID | 12308175 |
|---|---|
| Authors | Picheng Lee (0000-0002-3879-5043, Pace University New York New York, corresponding author), Gary Kleinman (Montclair State University Montclair New Jersey), Chu‐Hua Kuei (Pace University New York New York) |
| Year | 2020 |
| Volume | 28 |
| Issue | 4 |
| Pages | 897-921 |
| Publication date | 2020-02-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Development (JOURNAL) |
| Journal identifiers | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.2045 |
| OpenAlex | W3008478334 |
| Language | EN |
| Citations received | 2 |
| References cited | 22 |
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
Analytics · Benchmark (surveying · Business · Cartography · Data mining · Data science · Economics · Geography · Greenhouse gas · Incentive · Political science · Process (computing · Sustainability · Sustainability reporting · Sustainable development · Urban planning · Urban Sustainability · Visualization · Computational and Text Analysis Methods · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Smart Cities and Technologies
Six research priorities for cities and climate change
Re-thinking sustainability indicators
Probabilistic topic models
Urban sustainability management
Concern or compliance? Drivers of urban decentralised energy initiatives
Text Analysis in R
The Sustainable City
Central dimensions in a sustainable urban development
Global urban sustainability assessment
Environmentally sustainable cities. Critical review and operational conditions
Analysis of meanings of the concept of sustainability
Bridging the gaps between theory and practice
Cities and greenhouse gas emissions
Urban environmental challenges and climate change action in New York City
Using the DPSIR framework and data analytics to analyze oil spillages in the Niger delta area
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |