Research On Street Space Characteristics’ Preference Of Walking Route To Harbin Children Park Based On Open Data

Walking has become the most important way to visit the city park.Urban streets,as a link between urban residents and city parks,are of great importance to encourage the residents to visit parks and to improve the service efficiency of parks.However,the current researches on increasing the convenience of walking to parks and improving the service efficiency of parks mainly focus on the discussion of the accessibility of city parks under the urban green space system planning,which ignore the influence of streets’ configurational characteristics,morphology characteristics and functional characteristic.This paper combs the characteristics of streets from urban design scale,that affect the selection of walking routes to Harbin children park in 15 mins based on open data.The characteristics of streets inclueds configurational characteristics,morphology characteristics and functional characteristics.It also explains the preference and influence mechanism of visitors on different characteristics of streets.As for obtaining street configurational characteristics,this paper take Baidu Traffic map as data,combined with Space Syntax to quantify indicators such as the integration of streets,the selectivity of streets.As for obtaining street morphology characteristics,this paper take Baidu Street View map as data,combined with Photoshop and Seg NET image analysis tools to quantify the visibility of the sky,the degree of the interface,the green looking rate of the street,the level of motorization.As for obtaining street functional characteristics,this paper take Baidu map POI as the data,combined with Arc GIS spatial analysis tools to quantify the vitality of the street interface.In data analysis part,firstly,the street space characteristics data is visualized analysis and descriptive statistics using the Arc GIS and SPSS as the data platform.Secondly,the single sample t-test is used to filter the street space characteristics which park visitors prefer.Finally,Logistic Regression analysis combined with qualitative research are used to illustrate the preference and influence mechanism of park visitors to different street features.And the paper explores the guide to improving the efficiency of visiting the parks based on the preference of street space’ characteristics.The results show that:(1)The park visitors have preferences for the city street with the high integration and high selectivity.Urban residents have the strongest preference for the integration when the search radius is 1200 m,and the stronger preference for the selectivity when the search radius is 400 m.Some morphology characteristics will affect the choices of routes to parks,while the park visitors prefer to choose the routes with better interface,higher green looking rate,lower level of motorization,however the sky visibility does not affect the choice of routes to parks.For functional characteristic,the park visitors prefer to choose the streets with stronger vitality of street interface.(2)Park visitors have different preferences for different characteristics of streets.For the configurational characteristics,preference for integration(R1200)was greater than that for selectivity(R400).In terms of morphology and functional characteristics,the preference for street with strong vitality is the most obvious.It has the second highest preference for streets with high green looking rate and low level of motorization,and the weakest preference for streets with good interface integrity.(3)In order to improve the visiting rate of parks,under other conditions,we can increase the proximity and connectivity of parks and high integration streets through location optimization,entry location adjustment and greenway construction.Park visitors prefer streets with strong vitality,so we can increase the connectivity of the city parks and commercial streets through the interface function integration and location optimization.Park visitors had the second highest preference for street with high green looking rate and low level of motorization.And the street preference for good interface integrity was the weakest.The increasing of park visiting rate was also achieved through the improvement of street environment and the control of motor traffic flow.Based on the open data,this study objectively analyzes the preferences of park visitors on the characteristics of street space for routes to parks.Based on the results of the analysis,the author proposes relevant design guidelines based on the characteristics of street space,which is beneficial to improve the service efficiency of the parks and encourage the city urban park to visit on foot.