Urban Hiking Route Environment Research Based On Big Data Visualization

Under the multiple background of urban mobility and global resources, bicycle, hiking and other low-carbon transfer has become an important part of sustainable development. With the popularity of national fitness, outdoor hiking has become a convenient, safe, low-carbon methods to exercise. Initiating hiking in the city, not only can increase the proportion of pedestrians, make urban safer, improve urban facilities space environment, but also enrich the city cultural characteristics and so on. However, due to urban space is compressed, quality of urban hiking fitness environment has many deficiencies. Due to the double effect of the city hiking fitness on national fitness and urban environment, rationalizing and humanity of city hiking fitness environment is particularly important. With the coming of information age, big data has become important tool to analyse human and city, to provide technology methods and data guarantee. It’s more objective to analyse people’s desire in the city through big data.This essay filt and compare the open and sharing urban data, use Washington D.C. as research object, use big data of route choice of hiking as foundation, through Google Earth and spatial overlap, data comparison to analyse choice of hiking route under the micro-environment, especially the continuity, amenity, diversity of pedestrian path, landscape node, researching design strategy through data comparison and analyse result to improve urban hiking environment, also to provide design foundation for domestic urban hiking environment.