Analysis of shopping walking activities and influential factors in neighborhoods. Case study of 21 neighborhoods in Shanghai

Since the 20th century, the development of China's urbanization and motorization is very fast. The concept of “car-based” urban planning profoundly affects the urban renewal and new district development of many cities in China, and triggers a series of problems, such as long commuting distance, traffic congestion and deterioration of walking environment. However, walking is still the main way to travel in the urban residents’ daily life. It not only puts an important role in the short-distance travel, but also is an indispensable part of all transport modes, especially the green transportation system in most of big cities. Take 21 neighborhoods of Shanghai as an example. First, analyze residents’ walking characteristics, walking attitude, walk satisfaction, transportation walking frequency and the residents' socio-demographic attributes through the 2861 questionnaires. Second, choose spatial pattern variables affecting transportation walking through the collection of the theoretical literature, and obtain the spatial pattern variables’ data from on-site research. Third, use SPSS to analyze the relationship between shopping walking frequency and the variables with the methods of correlation analysis and basic model simulation with multi-variable logistic regression to find out the most important socio-demographic attributes and spatial pattern variables. Then give the suggesting threshold through scatter diagram.