首页|Accessibility Analysis of Comprehensive Parks in the Central Urban Area of Suzhou Under Multiple Travel Modes

Accessibility Analysis of Comprehensive Parks in the Central Urban Area of Suzhou Under Multiple Travel Modes

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Comprehensive parks offer a wide range of functions and serve diverse populations.Assessing their accessibility based on multiple travel modes and real-time travel data is of great importance for promoting the rational distribution and efficient service of these parks.By using real-time travel data obtained through the API(Application Programming Interface)of Gaode Maps and applying the Ga2SFCA(Gaussian Two-Step Floating Catchment Area)method,this study explores the accessibility of comprehensive parks in the central urban area of Suzhou city under multiple travel modes.The findings are as follows.① Walking accessibility shows significant improvement under the 15-minute threshold compared to the 10-minute threshold scenario;cycling accessibility increases synchronically with the time threshold,maintaining relatively stable travel costs;driving is the preferred mode for long-duration and long-distance trips;whereas the accessibility of bus travel exhibits substantial spatial variation.② The overall accessibility within the studied time thresholds shows that driving is better than cycling,followed by bus travel and walking.Especially for trips within a 4 km range between communities and comprehensive parks,cycling accessibility surpasses that of buses.③ The high-value distribution of accessibility to comprehensive parks,as measured under walking,cycling,and driving modes,is relatively balanced,while the overall accessibil-ity coverage of bus travel is relatively low.This study reveals the differences and characteristics of comprehensive park accessibility under multiple travel modes,providing insights for reassessing the existing service radius indicator and offering a theoretical basis for optimizing the allocation of parks based on population distribution.

comprehensive parksaccessibilitymultiple travel modesGa2SFCA modelSuzhou

Liu Zhiqiang、Xu Jiyu、Yu Hui、Hong Genwei、Liu Jinxin、Mao Qizhi

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School of Architecture and Urban Planning,Suzhou University of Science and Technology,Suzhou,P.R.China

Urban Planning and Design Institute of Nanjing University Co.,Ltd,Nanjing,P.R.China

School of Architecture and Urban Planning,Su-zhou University of Science and Technology,Suzhou,P.R.China

2024

城市规划(英文版)

城市规划(英文版)

ISSN:
年,卷(期):2024.33(4)