A Data-Driven Framework for Walkability Measurement with Open Data: A Case Study of Triple Cities, New York

A Data-Driven Framework for Walkability Measurement with Open Data: A Case Study of Triple Cities, New York

Walking is the most common, environment-friendly, and inexpensive type of physical activity. To perform in-depth walkability analysis, one option is to objectively evaluate different aspects of built environment related to walkability. In this study, we proposed a computational framework for walkabi...

Full description

Bibliographic Details
Main Authors: Chengbin Deng, Xiaoyu Dong, Huihai Wang, Weiying Lin, Hao Wen, John Frazier, Hung Chak Ho, Louisa Holmes
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
walkability
gis
data-driven method
open data
shrinking small cities
geospatial big data
smart cities
urban mapping
urban built environment
urban planning
Online Access:https://www.mdpi.com/2220-9964/9/1/36

Internet

https://www.mdpi.com/2220-9964/9/1/36

Similar Items