2024
DOI: 10.1016/j.cities.2024.104813
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Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning

Wei Yang,
Jun Fei,
Yingpeng Li
et al.
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Cited by 14 publications
(4 citation statements)
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“…Greenery, scenic beauty, accessibility, lighting, cleanliness, vehicles, green space, landscapes, and waterfront spaces garner less attention. These environmental factors, while not as prominently regarded as the previous category, still hold significant influence, reflecting findings from existing studies [14,16,19,24,52,56,62]. Most of these factors exhibited variations in performance across different land use types and need to be considered separately in the process of environmental improvement for each land use type.…”
Section: Environmental Preferencementioning
confidence: 67%
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“…Greenery, scenic beauty, accessibility, lighting, cleanliness, vehicles, green space, landscapes, and waterfront spaces garner less attention. These environmental factors, while not as prominently regarded as the previous category, still hold significant influence, reflecting findings from existing studies [14,16,19,24,52,56,62]. Most of these factors exhibited variations in performance across different land use types and need to be considered separately in the process of environmental improvement for each land use type.…”
Section: Environmental Preferencementioning
confidence: 67%
“…The classification of environmental perception and environmental elements was primarily based on the part of speech of the words, while the categorization of factors mainly stems from the study of literature related to jogging. Environmental perception factors involve abstract spatial sensations, predominantly represented by adjectives, including safety [47,48], vibrancy [28], cleanliness [49], slope [25], width [15,50], accessibility [14,19], connectivity [28], air quality [22,51], scenic beauty [14,18], greenery [23,24], lighting [52,53], soundscape [28], and temperature [20,54]. Environmental elements factors primarily include concrete spatial entities, represented mostly by nouns, including vehicles [51,53], pedestrians [14,32], traffic infrastructure [28,55], landscape [14], green space [24,50], waterfront space [26,32], service facilities [14,15], lighting facilities [52,53], pavement [48,56], culture [57], buildings [15,58], and vertical elements [25].…”
Section: Text Analysismentioning
confidence: 99%
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“…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.…”
Section: Introductionmentioning
confidence: 99%