Critical factors influencing the comfort evaluation for recreational walking in urban street environments

Ma, Xintong; Chau, Chi Kwan; Lai, Joseph H.K.

doi:10.1016/j.cities.2021.103286

Cited by 35 publications

(21 citation statements)

References 87 publications

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“…This implies that the micro-level street environment (route characteristics) affects the walking experience and subjective perception of pedestrians. However, various physical environments and subjective perception elements were frequently defined based on regression models ( 16 , 17 ), with these models always being empirical in nature and lacking the support of strong theoretical backgrounds ( 18 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of the Street Environment on Walking Behavior: A Case Study Using the Route Choice Model in the Chunliu Community of Dalian

Jin

Lu²,

Sun³

2022

Front. Public Health

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To better comprehend the relationship between the environment and walking, this study developed a conceptual framework that explained the association between the street environment and the route choice behavior of pedestrians. We collected the route choice data of 219 residents of the Chunliu community in Dalian and used a conditional Logit model to analyze the factors influencing route choice behavior to explain how the street environment affected pedestrians' walking habits and induced them to choose longer or more complicated routes for their activities. We found that sidewalk and driveway width, garbage bins, green spaces, the characteristics of street walls, the proportion of facilities could influence pedestrians' walking habits and compel them to choose longer and more complex routes. This study would provide new insights into walking characteristics and offer policy recommendations to the government on improving the street environment.

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Section: Literature Reviewmentioning

confidence: 99%

Effect of the Street Environment on Walking Behavior: A Case Study Using the Route Choice Model in the Chunliu Community of Dalian

Jin

Lu²,

Sun³

2022

Front. Public Health

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“…Leisure walking is the walking behavior of pedestrians during leisure time [7], which can lead to pleasure, relaxation, and other emotional benefits [12,13]. Exploring the relationship between leisure walking and the built environment will provide valuable guidance for promoting leisure walking and improving human health and well-being, particularly in urban environments [14].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Built Environment on Pedestrians’ Route Choice in Leisure Walking

Ge,

He,

Shang

2023

IJGI

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Exploring the relationship between leisure walking and the built environment will provide an improvement in human health and well-being. It is, therefore, necessary to explore the most relevant scale for leisure walking and how the association between the built environment and leisure walking varies across scales. Three hundred volunteers were recruited to wear GPS loggers, and a total dataset of 268 tracks from 105 individuals was collected. The shortest possible routes between starting and ending points were generated and compared to the actual routes using the paired T-test. An improved grid-based buffer approach was proposed, and statistics for the grid cells intersecting the paths were calculated. Grid cells were calculated for six scales: 50 m, 100 m, 200 m, 500 m, 800 m, and 1600 m. The results showed that the actual paths were on average 24.97% longer than the shortest path. The mean, standard deviation, and minimum and maximum values of the built environment variables were all significantly associated with leisure walking. The most relevant spatial scale was found to be the 100 m scale. Overall, the smaller the scale, the more significant the association. Participants showed a preference for moderately compact urban forms, diverse options for destinations, and greener landscapes in leisure walking route choice.

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“…In the outdoors, it has been identified that positive and negative emotions influence thermal sensation (Zhang et al 2021). Ma et al (2021) concluded that pedestrian comfort is affected by environmental factors but also by people's subjective perceptions, namely built environment satisfaction, thermal sensation, perceived air quality, and perceived loudness. Other studies also related that air quality perception is influenced by personal factors, such as age, gender, health symptoms, and smoke status (Pantavou et al 2017(Pantavou et al , 2018.…”

Section: Introductionmentioning

confidence: 99%

“…Other studies also related that air quality perception is influenced by personal factors, such as age, gender, health symptoms, and smoke status (Pantavou et al 2017(Pantavou et al , 2018. Therefore, the human dimension should be implemented in comfort experiments combined with environmental monitoring, which has been done by using social science methods, like surveys and interviews (D'Alessandro et al 2018;Lam et al 2020;Liu et al 2021;Ma et al 2021;Mancini et al 2021;Pantavou et al 2018;Peng et al 2019), and physiological measurements (Chokhachian et al 2018;Niu et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Multi-domain human-oriented approach to evaluate human comfort in outdoor environments

et al. 2022

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Human comfort outdoors is widely investigated, but most studies explore the comfort domains singularly. This paper aimed to evaluate human comfort in parks, verifying the importance of using a multi-domain (simultaneously evaluating thermal, visual, acoustic, and air quality) and multi-disciplinary (combining environmental and social fields) approach. A walk through a pre-defined path from one park to another was repeated twice per day on four consecutive days in June, with three participants per walk. The two investigated parks are in central Italy and were chosen because they differ in their design and spatial characteristics. Environmental data were recorded with an innovative wearable device during the whole walk, and surveys were used to assess people’s perceptions of the parks. Despite observed differences in collected physical parameters, the survey’s responses were similar, and different comfort domains showed dependence on each other in the two parks. Logistic regression models were developed for each park, and they revealed that the qualitative information predicted the overall comfort level more accurately than the environmental data. In detail, the models based on environmental data resulted in R2 equal to 0.126 and 0.111 in Parks 1 and 2, respectively, whereas using the survey answers increased it up to 0.820 (Park 1) and 0.806 (Park 2). This study contributes to addressing the gap in multi-domain comfort studies outdoors and confirms the importance of using multi-disciplinary and multi-domain approaches for a complete comfort analysis, supporting holistic human-biometeorology-oriented models and forecasting opportunities that can promote improvements in urban environmental quality and liveability.

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Critical factors influencing the comfort evaluation for recreational walking in urban street environments

Cited by 35 publications

References 87 publications

Effect of the Street Environment on Walking Behavior: A Case Study Using the Route Choice Model in the Chunliu Community of Dalian

Effect of the Street Environment on Walking Behavior: A Case Study Using the Route Choice Model in the Chunliu Community of Dalian

Influence of the Built Environment on Pedestrians’ Route Choice in Leisure Walking

Multi-domain human-oriented approach to evaluate human comfort in outdoor environments

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