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Urban green space recreational service assessment and management: A conceptual model based on the service generation process

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  • He, Jialin
  • Yi, Hongmei
  • Liu, Jian

Abstract

The current understanding of urban green space (UGS) recreational service is limited due to the lack of being examined under the logic that underlies the ecosystem service paradigm, leading to limitations in the application of ecosystem based management in urban land use planning. This paper offers a conceptual model of UGS recreational service that follows the logical flow of ecosystem service generation, supplementing the knowledge gap and supporting the use of ecosystem base management in urban land use planning. The model includes four categories; UGS features, population characteristics, recreational use behavior, and recreational benefits while considering the use behavior as the service carrier. A process analysis shows the role of each model component in generating the services, and highlights the important role of regulating service potentials and their mobilization. Ways of informing interventions for improving efficiency or equity have been suggested. Efficiency can be assessed by applying the dose–response mechanism in the model. Equity on the other hand, can be measured by exploring which predictors of use are dominant, which advances UGS access assessment by shifting from the spatial-based to the use-based. Survey design techniques and indicators measuring various variables of the model have also been proposed.

Suggested Citation

  • He, Jialin & Yi, Hongmei & Liu, Jian, 2016. "Urban green space recreational service assessment and management: A conceptual model based on the service generation process," Ecological Economics, Elsevier, vol. 124(C), pages 59-68.
    • Handle: RePEc:eee:ecolec:v:124:y:2016:i:c:p:59-68
    DOI: 10.1016/j.ecolecon.2016.01.023
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    Cited by:

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    2. Lee, Dong-Kyu, 2024. "Analysis of the potential value of cultural ecosystem services: A case study of Busan City, Republic of Korea," Ecosystem Services, Elsevier, vol. 65(C).
    3. Wang, Jingjing & Chermak, Janie M., 2021. "Is less always more? Conservation, efficiency and water education programs," Ecological Economics, Elsevier, vol. 184(C).
    4. José C. Ferreira & Renato Monteiro & Vasco R. Silva, 2021. "Planning a Green Infrastructure Network from Theory to Practice: The Case Study of Setúbal, Portugal," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    5. Zu, Xiaoyi & Li, Zhixian & Gao, Chen & Wang, Yi, 2022. "Interpretation of Spatial-Temporal Patterns of Community Green Spaces Based on Service Efficiency and Distribution Characteristics: A Case Study of the Main Urban Area of Beijing, China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(12), pages 1-23.
    6. Yat Yen & Zhanqi Wang & Yumin Shi & Bunly Soeung, 2016. "An Assessment of the Knowledge and Demand of Young Residents regarding the Ecological Services of Urban Green Spaces in Phnom Penh, Cambodia," Sustainability, MDPI, vol. 8(6), pages 1-11, May.
    7. Potschin-Young, M. & Haines-Young, R. & Görg, C. & Heink, U. & Jax, K. & Schleyer, C., 2018. "Understanding the role of conceptual frameworks: Reading the ecosystem service cascade," Ecosystem Services, Elsevier, vol. 29(PC), pages 428-440.
    8. Shah, Arpit & Garg, Amit, 2017. "Urban commons service generation, delivery, and management: A conceptual framework," Ecological Economics, Elsevier, vol. 135(C), pages 280-287.

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