3.2.2. Use Patterns

From Table 2, walking was the most common way to come to the community greenway for everyday activities (84.9%). It was observed that quite a few people ride bicycles, but these people usually would not stay. Overall, 74.7% of the users lived within a 10-min walk, and 11.2% of the users lived in communities more than 20 min' walk from the greenway. 59.6% of users reported that they came to the community greenway at least once a day for leisure or other activities. About one-fifth of

the users would not stay in the community greenway, and 78.8% of the users stayed in the community greenway for a period of time. In terms of user activities, 40.4% of users used community greenways for necessary activities, mainly as a traffic road. At the same time, most users (91%) used community greenways for optional activities such as leisure activities (36.4%) and physical exercise (54.6%), and some residents (8.1%) chose to shop at small vendors in the community greenway. In addition, in social activities, users interacted with family and neighborhoods.


**Table 2.** Use patterns of the community greenway.

Multivariate regression analysis was used to study the relationship between gender, age, job status, education level, monthly income, transportation, time to reach the greenway, duration of use and the frequency of use (Table 3). According to the judgment basis of *p* < 0.05, the findings indicate a significant relationship between the frequency of use and age (β = −0.383, 95% CI is −0.399–0.092, *p* = 0.002), transportation (β= −0.207, 95% CI is −0.675–0.005, *p* = 0.047) and the time to reach the greenway (β = 0.411, 95% CI 0.205–0.538, *p* = 0.000). The regression results showed a negative correlation between age and frequency of use, that the older the person, the less frequently they used the community greenway. There was a negative correlation between transportation and frequency of use. Somehow there was a positive correlation between time to reach and the frequency of use. No significant correlation was found between the above factors and the duration of use (*p* = 0.68 > 0.05).


**Table 3.** Multivariate regression analysis on the relationship between demographics, transportation, time to arrive and use frequency.

\* *p* < 0.05, \*\* *p* < 0.01, \*\*\* *p* < 0.001.
