Urban green space (UGS) is receiving increasing attention as a means to make cities better adapted to climate change and to create high-quality living environments for citizens. The spatial planning of UGS generally asks a trade-off between optimizing land-use and accessibility characteristics which may differ between housing types. In this paper, we use a stated choice experiment to estimate residential location preferences related to neighborhood land-use, UGS and accessibility characteristics in the framework of a land-use model. A national sample of 394 Dutch homeowners participated in the experiments and mixed logit models were estimated by housing type distinguishing detached, row houses and apartments. The estimation results show that trade-offs made between a green neighborhood and accessibility to urban amenities tend to differ between the housing types. The estimates are used as parameters in a housing land-use allocation model. An application of the model to a residential area development problem shows that creating green buffers along road infrastructure is the most beneficial way of allocating UGS considering the housing value for residents. The application further shows that apartments benefit more strongly from UGS in the neighborhood than from high accessibility of urban amenities compared to detached and row houses. Finally, we find that the optimal spatial allocation of UGS depends on whether maximizing housing market-value or residents’ utility is the prime objective.

中文翻译：

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住房和城市绿地的空间规划：组合的陈述选择实验和土地利用建模方法


城市绿地（UGS）作为使城市更好地适应气候变化、为公民创造高质量生活环境的手段而受到越来越多的关注。 UGS 的空间规划通常要求在优化土地利用和可达性特征之间进行权衡，而不同住房类型之间的可达性特征可能有所不同。在本文中，我们使用规定的选择实验来估计与土地利用模型框架内的社区土地利用、UGS 和可达性特征相关的住宅位置偏好。参与实验的荷兰全国样本为 394 名房主，并根据区分独立屋、排屋和公寓的住房类型对混合 Logit 模型进行了估计。估算结果表明，不同住房类型之间的绿色社区和城市便利设施的可达性之间的权衡往往有所不同。估计值用作住房土地使用分配模型的参数。该模型在住宅区开发问题中的应用表明，考虑到居民的住房价值，沿道路基础设施创建绿色缓冲区是分配UGS的最有利方式。该申请进一步表明，与独立屋和排屋相比，公寓从附近的UGS中受益比从城市便利设施的便利性中受益更大。最后，我们发现UGS的最优空间配置取决于最大化住房市场价值还是最大化居民效用是首要目标。