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Empirical research provides evidence that, in neighborhoods with higher walkability, individuals make more walking trips. However, it is not clear what the exact nature is of the relationships between neighborhood walkability and walking trips, since a higher walking frequency can be explained in different ways. This study examined whether the extra walking trips in better walkable neighborhoods are related primarily to trip generation, destination choice, or transport mode choice and whether this is the same for different age groups. A neighborhood fixed effects regression analysis was conducted in a first step to obtain a walkability measure for each neighborhood in the Netherlands including systematic as well as unobserved effects. Subsequently, the estimated fixed effects were used as walkability data for a path analysis based on a causal model to test the hypotheses stated. The results of the path analysis show direct relationships of neighborhood walkability with trip generation, destination choice, and transport mode choice, after controlling for the mutual relationships between the activity and trip variables. Comparing different age groups (i.e., children, adults, and elderly), the differences found mostly concerned the relationship between neighborhood walkability and trip generation. We concluded therefore that conditions for walkability are not the same for all age groups.

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Abstract:In this paper, we based our field study to investigate an urban-rural highway around Nanwan Lake, China, and the statistical research results are presented with an ANOVA analysis. For this case study, we collected 80 samples, which we categorized into three groups. Villages and features classify these samples. An ANOVA analysis showed that there is a significant difference between the facility samples. The data analysis of our results showed that the problems of the urban-rural highway landscape are constituted by multiple factors in this area; therefore, we built two visual models to illustrate the problem, and we eventually constructed a model of a methodology to attempt to solve these problems.

The walkability of a neighborhood is important for alleviating transport problems and improving the social and physical wellbeing of residents. However, it is unclear to what extent high walkability contributes to positive attitudes about walking and walking experiences on university campuses. In addition, little is known about the extent and mechanism by which walking attitude influences the affective walking experiences of students. Therefore, this study aimed to analyze the relationship between campus walkability and students’ affective walking experience, as well as to explain the role of walking attitude as a mediator of this relationship. To address these issues, data were collected via questionnaires at a Chinese university and analyzed by using the structural equation model. After controlling for personal characteristics, the results indicated that campus walkability had a positive direct and indirect (through walking attitude) association with affective walking experiences. Our findings have proved that walkable campuses are important because they promote positive walking attitudes and walking emotions, which are beneficial to students’ mental health and subjective wellbeing.