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Assessing the validity and reliability of descriptor variables used in scenic highway analysis

机译:评估用于风景公路分析的描述符变量的有效性和可靠性

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摘要

The research presented here evaluated descriptor variables used by agencies to assess scenic quality along roads in their jurisdiction. The goal was to determine if these descriptors, when applied in an expert assessment, could produce results indicative of public preference for highway conditions. Several state and federal scenic highway programs were first reviewed to determine what descriptors were most widely used in their assessment efforts. From that review, four descriptors were selected: naturalness, vividness, variety, and unity. A photographic inventory was generated along a road corridor in California's Central Coast region. A pool of landscape architects was shown test slides from that corridor, and was asked to rate each scene using the four descriptors. Untrained observers were then shown the identical slides, and were asked to rate the scenic beauty per-scene. Mean scenic beauty scores were compiled and later related to the expert judgments, using correlation, regression and factor analysis. Results indicate that vividness had a significant relation with preference, and was most correlated with the construct scenic beauty. Of the three other descriptors, only variety presented a significant relation to preference. The contribution of variety was; however, limited, as it did not supply additional information concerning preference beyond that provided by vividness in the regression equation. Of note is that naturalness did not significantly add to the analytical ability to predict preference. This runs contrary to discussions in the cited programs, which imply that natural conditions are the scenic ideal
机译:此处进行的研究评估了代理机构用来描述其辖区内道路风景质量的描述符变量。目的是确定这些描述符在进行专家评估时是否可以产生表明公众对高速公路状况的偏好的结果。首先对几个州和联邦风景秀丽的公路计划进行了审查,以确定在评估工作中使用最广泛的描述符。从该评论中,选择了四个描述符:自然性,生动性,多样性和统一性。在加利福尼亚中部海岸地区的道路走廊上产生了摄影清单。向一群景观设计师展示了该走廊的幻灯片,并要求他们使用四个描述符对每个场景进行评分。然后,向未经培训的观察者展示了相同的幻灯片,并要求他们按场景对风景秀丽进行评分。使用相关性,回归和因子分析,编制了平均风景秀丽评分,然后与专家判断相关。结果表明,生动度与喜好有显着关系,并且与构筑的风景名胜最相关。在其他三个描述符中,只有变化与偏好具有显着关系。多样性的贡献是;但是,它是有限的,因为除了回归方程中生动性所提供的信息外,它没有提供有关偏好的其他信息。值得注意的是,自然度并没有显着增加预测偏好的分析能力。这与所引用程序中的讨论相反,后者暗示自然条件是风景优美的理想

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