How Do Different Urban Footpath Environments Affect the Jogging Preferences of Residents of Different Genders? Empirical Research Based on Trajectory Data

Abstract

In recent years, the impact of the urban environment on residents’ physical activity (PA) has received extensive attention, but whether this impact has differences in the jogging preferences of residents in different footpath environments and different genders requires further research. Therefore, based on jogging trajectory data, this paper uses the grouping multiple linear regression model to study the different influencing factors of different footpath environments on the jogging of residents of different genders. The results show that (1) jogging activities (JA) were mainly concentrated in the community footpath environment, and its peak was reached at night; (2) the rise and fall of elements in built environments, social environments, and natural environments significantly affected the relative jogging distance of residents; (3) Residential land density (RLD) has a positive impact on the JA of community and green land footpaths and has a negative impact on the JA of urban footpaths. However, arterial road density (ARD) and bus distance density (BDD) have opposite significant effects on the JA of communities and green land footpaths; (4) ARD has the significant opposite effect on the JA for residents of different genders on urban footpaths and community footpaths. Facilities diversity (FD), population density (PD), and bus stop density (BSD) also had significant opposite effects on the JA of residents of different genders on green land footpaths. In general, we put forward a method theory to identify the footpath environment and provide references for improving the layout and construction of different gender residents for different footpath environment elements.

Comparing Differences in Jogging Support across Various Land Use Types in Urban Built-Up Areas Using User-Recommended Routes

“…Air quality, temperature, connectivity, vibrancy, vertical elements, culture, buildings, and service facilities are less emphasized and exhibit significant variation across different land uses. Specific factors such as air quality [20], temperature [63], connectivity [28], culture [57], architecture [64], and service facilities [15] have been the focus of detailed studies, yet their impact appears limited to a few land use types compared to other factors. Thus, these factors warrant careful consideration in the decision-making process for environmental improvement.…”

Identifying Street Environmental Factors That Attract Public Attention from the Jogger’s Perspective: A Multiscale Spatial Exploration

“…Lighting facilities, pavement, and vertical elements describe facilities intrinsic to the jogging routes [3,55]. Residential areas, campuses, sports facilities, and commercial areas characterize the surrounding environment [20,37]. Safety and accessibility frequently serve as indicators in the jogging studies literature [24,56].…”

“…In recent years, the impact of the street environment on jogging has increasingly gained attention. Studies have explored both linear [2,20] and nonlinear [21][22][23] correlations between various environmental factors and jogging behavior, including but not limited to traffic facilities [2,24], natural exposure [2,25], accessibility [12], and climate [26]. However, many environmental factors used in research are pre-selected based on expert experience and previous literature [27,28], potentially overlooking or neglecting factors that joggers focus on.…”

Urban Residents’ Preferred Walking Street Setting and Environmental Factors: The Case of Chengdu City

“…In addition, the concept of "street" has been rather vague in many recent studies. Zhong et al (2022) identified three types of streets: "urban sidewalks," "community sidewalks," and "green space sidewalks," and discovered that the three distinct street environments had different impacts on people and that various environmental elements have different positive and negative impacts on residents [51]. Hence, to apply these findings to specific street types, as in Zhang et al (2022), we first categorized urban streets into three types: community streets (built environment), waterfront paths (built environment with water elements), and urban greenways (built environment with green elements) [51].…”