A Bibliometrics Analysis Related to the Built Environment and Walking

Author:

Fang Congying1ORCID,Homma Riken2,Qiu Tianfu1

Affiliation:

1. Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-Ward, Kumamoto 860-8555, Japan

2. Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-Ward, Kumamoto 860-8555, Japan

Abstract

The built environment and walking are hot topics in human settlement environment and health. It is essential for both built environment and walking research to clarify the knowledge base, development context, and cooperation network, and to explore the cutting-edge hot spots and development trends. We collected research data from the Web of Science core collection database. This study used analysis techniques including country and institution cooperation networks, keyword co-occurrences, burst keywords, reference co-citations, and cluster analysis to systematically analyze the built environment and walking research. The study found that research on built environment and walking was developed in the United States, Australia, and Canada. Then, it was carried out in Asian countries. Current research on the built environment and walking has multiple research themes. Among them, walkability is a common content covered by various research themes. Research based on street view environment is the latest hot research and there are still a lot of gaps in combining traditional topics with it. This research provides new directions and theoretical references for the built environment and walking research scholars and policymakers.

Publisher

MDPI AG

Reference111 articles.

1. United Nations (2024, March 19). Sustainable Development Goals. Available online: https://www.un.org/sustainabledevelopment/.

2. Walking and cycling to health: A comparative analysis of city, state, and international data;Pucher;Am. J. Public. Health,2010

3. Designing the Walkable City;Southworth;J. Urban Plan. Dev.,2005

4. Validation of a Japanese walkability index using large-scale step count data of Yokohama citizens;Hino;Cities,2022

5. Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning;Li;Sustain. Cities Soc.,2022

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