Urban Greening Choice Experiment Vienna

The data set is the result of a choice experiment (embedded in a larger survey) conducted in Vienna in May and September 2022. The experiment investigated preferences and willingness-to-pay for urban greening measures (in streetscapes and on buildings). The data set includes characteristics of the respondents (e.g. age, income, preferences for heat perception and use of green spaces) and their location (green spaces and trees within a buffer of 500 meters around the residence), as well as information on the choice situations (description of the alternatives). The data were collected through an online panel provider, with respondents being compensated for their contribution. The choice situations were composed using the Ngene software in order to show a high D-efficiency. In the survey, the choice cards and response options were shuffled to reduce potential order effects.

The .m files are the MATLAB code that was used to for the mixed logit models with correlated random parameters.
For the analysis a custom-written software specifically designed to work with the DCE package in Matlab was used (Czajkowski 2024)
CE4A - the model without interactions
CE4A_simple_socio - model with systematic taste variation (main effects and interactions with means)
CE4A_attr_interactions - model with interacted attributes

Reference: Czajkowski, M. (2024). Models for Discrete Choice Experiments. GitHub repository. URL: https://github.com/czaj/dce

该数据集源于一项选择实验（嵌套于更大规模的调查之中），该实验于2022年5月和9月在维也纳进行。实验旨在探究城市绿化措施（在街道景观和建筑物上）的偏好及其支付意愿。数据集包含了受访者的特征（例如年龄、收入、对热感知的偏好以及对绿色空间的利用）以及他们的地理位置（居住地周围500米缓冲区内的绿色空间和树木），还包括了选择情景的信息（替代方案的描述）。数据通过在线调查平台收集，受访者因参与而获得报酬。选择情景采用Ngene软件进行编制，以展示高D效率。在调查中，选择卡片和响应选项被随机打乱，以降低潜在的顺序效应。

.m文件是用于混合逻辑模型的MATLAB代码，其中包含相关随机参数。
在进行分析时，使用了一款专门为与Matlab中的DCE包协同工作而编写的定制软件（Czajkowski 2024）。
CE4A - 无交互作用的模型
CE4A_simple_socio - 具有系统性口味变化的模型（主效应及其与均值的交互作用）
CE4A_attr_interactions - 具有交互属性模型的

参考文献：Czajkowski, M. (2024). 离散选择实验模型. GitHub仓库. 网址：https://github.com/czaj/dce