Hendricks Marccus D, Newman Galen, Yu Siyu, Horney Jennifer
School of Architecture, Planning, and Preservation, University of Maryland in College Park, College Park, MD.
Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX.
Landsc J. 2018;37(2):19-39. doi: 10.3368/lj.37.2.19.
As part of the ongoing recovery from catastrophic flooding associated with Hurricanes Harvey and Florence, communities along the U.S. Atlantic and Gulf Coasts must plan for adaptations that integrate resilience into the redevelopment of community spaces. In designing resilient community spaces, particular consideration must be paid to socially vulnerable communities. Community visioning and neighborhood-scaled design is the first step in the development process. However, it can be a hurdle for communities that lack the capacity to conduct and evaluate such work collaboratively. Service-learning projects implemented through university-community partnerships can help communities increase resilience by developing master plans. The products generated through service-learning projects often conclude at the conceptual level, with no evaluation of the feasibility of their implementation. This study examines the use of landscape performance models in evaluating proposed master plan parameters. It is situated in Manchester, a community in Houston that is physically and socially vulnerable to flooding. Findings demonstrate that landscape performance models can objectively evaluate the costs and performance measures of service-learning products rooted in local conditions and community feedback.
作为从与飓风哈维和佛罗伦萨相关的灾难性洪水中持续恢复的一部分，美国大西洋沿岸和墨西哥湾沿岸的社区必须规划适应性措施，将恢复力融入社区空间的重建中。在设计具有恢复力的社区空间时，必须特别关注社会弱势群体社区。社区愿景规划和邻里尺度设计是开发过程的第一步。然而，对于缺乏协同开展和评估此类工作能力的社区来说，这可能是一个障碍。通过大学与社区的伙伴关系实施的服务学习项目可以通过制定总体规划来帮助社区增强恢复力。通过服务学习项目产生的成果通常在概念层面结束，没有对其实施可行性进行评估。本研究考察了景观性能模型在评估拟议总体规划参数中的应用。研究地点位于休斯顿的曼彻斯特社区，该社区在物理和社会层面都容易受到洪水影响。研究结果表明，景观性能模型可以客观地评估基于当地条件和社区反馈的服务学习成果的成本和性能指标。
