Lin Tzu-Ping, Yang Shing-Ru, Matzarakis Andreas
Department of Architecture, National Cheng Kung University, 1 University Road, Tainan, 701, Taiwan.
Faculty of Environment and Natural Resources, Albert-Ludwigs-University Freiburg, D-79085, Freiburg, Germany.
Int J Biometeorol. 2015 Dec;59(12):1825-37. doi: 10.1007/s00484-015-0990-1. Epub 2015 Apr 22.
Climate not only influences the behavior of people in urban environments but also affects people's schedules and travel plans. Therefore, providing people with appropriate long-term climate evaluation information is crucial. Therefore, we developed an innovative climate assessment system based on field investigations conducted in three cities located in Northern, Central, and Southern Taiwan. The field investigations included the questionnaire surveys and climate data collection. We first analyzed the relationship between the participants and climate parameters comprising physiologically equivalent temperature, air temperature, humidity, wind speed, solar radiation, cloud cover, and precipitation. Second, we established the neutral value, comfort range, and dissatisfied range of each parameter. Third, after verifying that the subjects' perception toward the climate parameters vary based on individual preferences, we developed the customized rating assessment of climate suitability (CRACS) approach, which featured functions such as personalized and default climate suitability information to be used by users exhibiting varying demands. Finally, we performed calculations using the climate conditions of two cities during the past 10 years to demonstrate the performance of the CRACS approach. The results can be used as a reference when planning activities in the city or when organizing future travel plans. The flexibility of the assessment system enables it to be adjusted for varying regions and usage characteristics.
气候不仅影响城市环境中人们的行为,还会影响人们的日程安排和旅行计划。因此,为人们提供适当的长期气候评估信息至关重要。为此,我们基于对台湾北部、中部和南部三个城市进行的实地调查,开发了一种创新的气候评估系统。实地调查包括问卷调查和气候数据收集。我们首先分析了参与者与包括生理等效温度、气温、湿度、风速、太阳辐射、云量和降水量在内的气候参数之间的关系。其次,我们确定了每个参数的中性值、舒适范围和不满意范围。第三,在验证了受试者对气候参数的感知因个人偏好而异后,我们开发了定制化气候适宜性评级评估(CRACS)方法,该方法具有个性化和默认气候适宜性信息等功能,供有不同需求的用户使用。最后,我们利用过去10年两个城市的气候条件进行计算,以展示CRACS方法的性能。研究结果可作为城市活动规划或未来旅行计划安排时的参考。评估系统的灵活性使其能够根据不同地区和使用特点进行调整。