Associations between overhead-view and eye-level urban greenness and cycling behaviors

Lü, Yi; Yang, Yiyang; Sun, Guibo; Gou, Zhonghua

doi:10.1016/j.cities.2019.01.003

Cited by 165 publications

(95 citation statements)

References 72 publications

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“…Existing studies that focus on measuring the quality of the walking environment are largely designed based on developing audit instruments for measuring sidewalk, architectural, and landscape features associated with walkability [44][45][46][47][48][49][50], while few of them have been systematically validated against the actual walking [46]. More recently, researchers have sought to take advantage of advancement in technology and have used virtual audit tools such as Google Street View [47][48][49][50]. Both field and virtual audit instruments have been widely used by researchers and local governments and provide the most detailed information about the built environmental determinants of walking and physical activity.…”

Section: Discussionmentioning

confidence: 99%

Examining the Relationship between Urban Design Qualities and Walking Behavior: Empirical Evidence from Dallas, TX

Hamidi

Moazzeni

2019

Sustainability

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This study examines the relationship between street-level urban design perceptual qualities and walking behavior in the City of Dallas. While the city has the potential to experience growth in pedestrian activities, it exhibits a very low level of walking activity, placing it as one of the least walkable cities in the nation. To assess the impact of urban design qualities on walkability, we collected data on 23 features related to urban design, 11 built environment variables characterized as D variables comprising diversity, density, design, distance to transit, and destination accessibility. The sample included 402 street block faces in Dallas Downtown Improvement District. Accounting for spatial autocorrelation, we found that two urban design qualities, among five, including image-ability—such as a memorable quality of a place, and transparency—as to what degree people can see beyond the street’s edge—significantly influence pedestrian volume in downtown streets. These findings are in agreement with the two previous studies that used the same methodology in different cities (New York City, NYC and Salt Lake City, UT). According to the findings of these three studies, the other urban design qualities including human scale, complexity, as well as enclosure, are not playing a significant role in walkability, despite the theoretical justification and the extensive operationalization efforts. The findings of this study draw policy makers’ attention to creating more appealing and walkable places through the implementation of these urban design qualities.

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Section: Discussionmentioning

confidence: 99%

Examining the Relationship between Urban Design Qualities and Walking Behavior: Empirical Evidence from Dallas, TX

Hamidi

Moazzeni

2019

Sustainability

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“…In line with this, more valid and reliable methods are needed to uncover the "true" relationships between objective and subjective greenness. This means that study designs including objective measurements need to take into consideration how study participants perceive and describe their environments at eye level [44]. For instance, recent research using publicly available street-view images found associations between the quality and quantity of street greenery and residents' physical activity levels [45].…”

Section: Prospectsmentioning

confidence: 99%

Objective and Perceived Neighborhood Greenness of Students Differ in Their Agreement in Home and Study Environments

Loder

Gspurning

Paier

et al. 2020

IJERPH

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Research has reported the associations between objective or subjective neighborhood greenness and health, with low agreement between the greenness scores. College students are prone to poor health, and data are lacking on home and university environments. We studied the agreement between greenness parameters and the associations of objective greenness with health in different locations. Three hundred and seventy-seven college students were recruited, with a mean age of 24 years, in the city of Graz, Austria. Objective and perceived greenness was assessed at home and at university. Health measures included the WHO-5 questionnaire for mental health, the IPAQ questionnaire (short) for physical activity and sedentariness, and body mass index. Per location, quintile pairs of objective and perceived greenness were classified into underestimates, correct estimates or overestimates. Interrater reliability and correlation analyses revealed agreement between greenness scores at home but not at university. ANOVA models only showed poorer mental health for students underestimating greenness at university (M = 51.38, SD = 2.84) compared to those with correct estimates (M = 61.03, SD = 1.85). Agreement between greenness scores at home but not at university was obtained, and mental health was related to the perception of greenness at university. We conclude that reliable and corresponding methods for greenness scores need to be developed.

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“…Aesthetic factors are essential in encouraging cycling behavior, in addition to factors related to urban density, the land-use mix, and the cycling infrastructure. Among the aesthetic factors, the presence of urban greenness plays an important role in promoting cycling, because the presence of urban greenness often gives cyclists a more pleasant experience [1,37,38,39].…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach

Lü

Lin

et al. 2019

IJERPH

Self Cite

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Cycling is a green, sustainable, and healthy choice for transportation that has been widely advocated worldwide in recent years. It can also encourage the use of public transit by solving the “last-mile” issue, because transit passengers can cycle to and from transit stations to achieve a combination of speed and flexibility. Cycling as a transfer mode has been shown to be affected by various built environment characteristics, such as the urban density, land-use mix, and destination accessibility, that is, the ease with which cyclists can reach their destinations. However, cycling destination accessibility is loosely defined in the literature and the methods of assessing cycling accessibility is often assumed to be equivalent to walking accessibility using the same decay curves, such as the negative exponential function, which ignores the competitive relationship between cycling and walking within a short distance range around transit stations. In this study, we aim to fill the above gap by measuring the cycling destination accessibility of metro station areas using data from more than three million bicycle-metro transfer trips from a dockless bicycle-sharing program in Shenzhen, China. We found that the frequency of bicycle-metro trips has a positive association with a trip distance of 500 m or less and a negative association with a trip distance beyond 500 m. A new cycling accessibility metric with a lognormal distribution decay curve was developed by considering the distance decay characteristics and cycling’s competition with walking. The new accessibility model outperformed the traditional model with an exponential decay function, or that without a distance decay function, in predicting the frequency of bicycle-metro trips. Hence, to promote bicycle-metro integration, urban planners and government agencies should carefully consider the destination accessibility of metro station areas.

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Associations between overhead-view and eye-level urban greenness and cycling behaviors

Cited by 165 publications

References 72 publications

Examining the Relationship between Urban Design Qualities and Walking Behavior: Empirical Evidence from Dallas, TX

Examining the Relationship between Urban Design Qualities and Walking Behavior: Empirical Evidence from Dallas, TX

Objective and Perceived Neighborhood Greenness of Students Differ in Their Agreement in Home and Study Environments

Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach

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