Exploring entry-exit correlationcoefficient (EEC) as new quantitative socialactivities performance measurement ofpublic space: The case of Dilworth Park,Philadelphia  

作　　者：Jae Min Lee 

机构地区：[1]Department of Urban Planning and Engineering,Yonsei University,Seoul 03722,Republic of Korea

出　　处：《Frontiers of Architectural Research》2025年第1期20-31,共12页建筑学研究前沿(英文版)

基　　金：supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIP;Ministry of Science,ICT&Future Planning,Grant No.NRF2019R1G1A1085408).

摘　　要：This study explores a new public space performance measure by integrating publicspace and walking research to examine the relationship between pedestrian traffic volume andsocial activity intensity in parks and plazas. Introducing the entry-exit correlation coefficient(EEC), the study utilized bootstrap resampling methods to analyze data and compare to 59manual observations. Findings reveal a statistically significant negative relationship betweenEEC and social activities, with a coefficient of 0.2. Lower EEC values, indicating closer correlation between entry and exit, were associated with increased social activities in DilworthPark. The high synchronization observed between EEC and social activities underscores the potential of EEC as a complementary tool to manual observation in public space research. Additionally, the study emphasizes the importance of considering thermal comfort in monitoringpublic spaces using EEC. While the study focused on a single case study, its results lay thegroundwork for future research to apply automated pedestrian counting and EEC as performance measurements for public spaces。

关 键 词：Public space Social activities Urban design EEC Thermal comfort 

分 类 号：O17[理学—数学]