Research On Accessibility Of Urban Parks Based On Baidu Map Data And High-resolution Remote Sensing Images

With the rapid development of my country’s economy,urban ecological civilization and residents’ physical and mental health have received extensive attention.Urban parks are the main leisure and entertainment places in residents’ daily life,and the accessibility of urban parks is closely related to the physical and mental health of residents.However,in the evaluation of park accessibility,many scholars have ignored the supply competition between different parks and the influence of multiple travel modes on park spatial accessibility.Therefore,this paper simulates the daily travel information of residents based on Baidu map navigation data,uses high-resolution remote sensing images to extract the greening conditions of urban parks,and combines vegetation coverage,park area,and park Baidu scores to comprehensively evaluate the popularity of parks,taking into account various travel modes for the impact on the accessibility of parks,a Gaussian two-step floating catchment area model based on supply competition and multi-travel modes(Supply Competition and Multi travel mode G2 SFCA,SCM-G2SFCA)was established for the parks in Wuhou District,Chengdu,China.The spatial accessibility evaluation study was carried out.The main research contents are as follows:(1)Research on the Comprehensive Index Evaluation Model of ParksWhen conducting a comprehensive evaluation of parks,objective factors such as park area and number of facilities are generally used.However,this method is difficult to consider quantifiable factors such as noise,pedestrian flow,and planning,which can affect the evaluation of the parks’ attractiveness.Therefore,this paper uses highresolution remote sensing images to extract park vegetation coverage,and uses the entropy weight method to integrate three factors: vegetation coverage,park area,and park Baidu score.From a subjective and objective perspective,the comprehensive index of the park is evaluated,improving the accuracy of park evaluation.The results indicate that the Guixi Ecological Park in the southern part of the study area has the highest comprehensive score and can provide better park services.(2)Research on reachability of Urban Park Based on SCM-G2 SFCA ModelThe traditional G2 SFCA algorithm is difficult to correctly evaluate the reachability of the park.This paper introduces the comprehensive score of the park and the commuting data of Chengdu,and establishes a G2 SFCA model based on supply competition and multiple traffic modes.This model uses Baidu map navigation data to simulate the daily travel information of residents,and the comprehensive score indicates the popularity and competition of the park,so as to obtain the park accessibility under a single travel mode.Finally,according to the commuter data of Chengdu,the distribution of park accessibility in the study area is obtained.The results show that there are obvious spatial differences in the distribution of accessibility of parks in Wuhou District of Chengdu City,showing a significant feature of high accessibility in the south and low accessibility in the north.Jinyang and Huaxing subdistricts in the southern suburbs have the highest accessibility and can obtain more adequate park services.Fangcao Street and Cujin sub-districts in the northern urban areas have the lowest accessibility,and park services are relatively scarce.The research results have important reference value for rational planning of urban parks and improving the accessibility of urban park space in Wuhou District and urban areas of the same type of cities in Chengdu.