Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026)

A Bibliometric Analysis of Recreational Services in Park Green Spaces

Authors
Bingxi Liu1, Hanxu Zhang1, Yu Tian1, Junling Zhang1, *
1College of Landscape Architecture, Northeast Forestry University, Harbin, China
*Corresponding author. Email: zhajl@163.com
Corresponding Author
Junling Zhang
Available Online 15 May 2026.
DOI
10.2991/978-2-38476-577-5_127How to use a DOI?
Keywords
green space; urban park; recreation service; bibliometrics; research progress
Abstract

With the accelerating process of global urbanization, the recreational services of park green spaces have become crucial for enhancing residents’ quality of life and promoting urban sustainability. However, a comprehensive bibliometric review specifically focused on this field remains absent. This study employs bibliometric methods and CiteSpace software to analyze 165 relevant publications from the Web of Science core collection between 2005 and 2024, aiming to systematically review the research progress, hotspots, and frontiers of recreational services in park green spaces. The results indicate that research in this field has evolved through three distinct phases: initial (2005–2016), exploratory (2017–2020), and rapid development (2021–present). Geographically, publications are predominantly concentrated in Asia (45%) and Europe (40%), with China being the most productive country. Current research themes primarily encompass cultural ecosystem service valuation, health and well-being promotion, and supply-demand matching. Keyword burst detection reveals that research frontiers have shifted from “land use” to “demand” and recently to “digital mapping.” The evaluation systems are categorized into process evaluation and supply-demand evaluation, influenced significantly by socioeconomic development levels and policy norms. Finally, this study discusses future challenges and directions, including enhancing social equity, achieving precise supply-demand matching, and leveraging multi-source data and intelligent models for evidence-based planning. The findings provide a systematic reference for future research and practical optimization of park green space systems.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 May 2026
ISBN
978-2-38476-577-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-577-5_127How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Bingxi Liu
AU  - Hanxu Zhang
AU  - Yu Tian
AU  - Junling Zhang
PY  - 2026
DA  - 2026/05/15
TI  - A Bibliometric Analysis of Recreational Services in Park Green Spaces
BT  - Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026)
PB  - Atlantis Press
SP  - 1247
EP  - 1269
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-577-5_127
DO  - 10.2991/978-2-38476-577-5_127
ID  - Liu2026
ER  -