2021
DOI: 10.1016/j.landurbplan.2021.104228
|View full text |Cite
|
Sign up to set email alerts
|

Examining ecological justice within the social-ecological-technological system of New York City, USA

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 18 publications
(15 citation statements)
references
References 42 publications
0
12
0
Order By: Relevance
“…Many studies accomplish this goal by utilizing tools we have previously discussed in this review, including building measurable indexes (Abdrabo & Hassaan, 2015;Chakraborty et al, 2020;Cutter et al, 2000;Liu, 2018;Montgomery et al, 2015;Zhu et al, 2019) and developing new spatial analysis approaches for better modeling practice (Figliozzi & Unnikrishnan, 2021;Kshetri et al, 2020;Liu, Shen, et al, 2021;Montgomery et al, 2015;Pineda-Pinto et al, 2021;Scott, 2021;Walker et al, 2021;Zhang, Li, & Khanna, 2021). Among the many mathematical tools that are often employed in environmental justice studies, regression analysis is the most popularly leveraged approach by analyzing social media data for over two million users to measure inequity of access to ecological attractions throughout China (Fang et al, 2021).…”
Section: Quantitative Methodologymentioning
confidence: 99%
See 4 more Smart Citations
“…Many studies accomplish this goal by utilizing tools we have previously discussed in this review, including building measurable indexes (Abdrabo & Hassaan, 2015;Chakraborty et al, 2020;Cutter et al, 2000;Liu, 2018;Montgomery et al, 2015;Zhu et al, 2019) and developing new spatial analysis approaches for better modeling practice (Figliozzi & Unnikrishnan, 2021;Kshetri et al, 2020;Liu, Shen, et al, 2021;Montgomery et al, 2015;Pineda-Pinto et al, 2021;Scott, 2021;Walker et al, 2021;Zhang, Li, & Khanna, 2021). Among the many mathematical tools that are often employed in environmental justice studies, regression analysis is the most popularly leveraged approach by analyzing social media data for over two million users to measure inequity of access to ecological attractions throughout China (Fang et al, 2021).…”
Section: Quantitative Methodologymentioning
confidence: 99%
“…Defining, measuring, and interpreting vulnerability is an integral, and likely the most commonly practiced step in understanding and measuring environmental justice (Chakraborty et al, 2020; Debbage, 2019; Montgomery et al, 2015; Moreno‐Jiménez et al, 2016; Pallathadka et al, 2021; Pineda‐Pinto et al, 2021; Sotolongo et al, 2021; Zhu et al, 2019). Observing the interactions between social, economic, and physical vulnerability results in measurable impacts that provide insight into how best we can protect, preserve, and improve well‐being of various communities and population groups.…”
Section: Identifying Environmental Justicementioning
confidence: 99%
See 3 more Smart Citations