Optimization of tree positioning to maximize walking in urban outdoor spaces: A modeling and simulation framework

Estacio, Ian; Hadfi, Rafik; Blanco, A. C.; Ito, Takayuki; Babaan, J.

doi:10.1016/j.scs.2022.104105

Cited by 16 publications

(5 citation statements)

References 59 publications

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“…Awada and Srour used a genetic algorithm as an optimization tool to simulate building renovation schemes and obtained an optimal renovation scheme based on the relationship between indoor environmental quality and occupant satisfaction [42]. Estacio et al adopted a simulation model combined with a genetic algorithm to obtain an optimal tree distribution strategy under a pedestrian comfort level, thereby proving the feasibility of this optimization method [43].…”

Section: Machine Learning Predicts Visual Perception Preference and E...mentioning

confidence: 99%

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Li,

Huang,

Zhang

et al. 2023

Preprint

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The visual perception of leisure spaces between residences in cold regions is important for public health. To compensate for the existing researches` lack of ignoring the cold snow season`s influence, this study selected two types of outdoor leisure space environments in non-snow and snow seasons as research objects. An eye tracker combined with a Semantic Difference (SD) questionnaire was used to verify the feasibility of the application of virtual reality technology, screen out leisure gaze characteristics, and reveal the environmental factors related to leisure visual perception. In snow season, spatial aspect ratio (SAR), building elevation saturation (BS), and grass proportion in the field of view (GP) showed strong correlation to the leisure visual perception scores (W). In non-snow season, apart from the above three factors, roof height difference (RHD), tall tree height (TTH) and color contrast (HC) also influenced W obviously. The effects of factors on W were revealed in immersive virtual en-vironment (IVE) orthogonal experiments and genetic algorithm (GA) and k-nearest neighbor algorithm (KNN) were combined to optimized the environmental factors. The optimized threshold ranges in the non-snow season environment were SAR: 1.82‒2.15, RHD: 10.81 m‒20.09 m, BS: 48.53‒61.01, TTH: 14.18 m‒18.29 m, GP: 0.12‒0.15, and HC: 18.64‒26.83. In the snow season environment, the optimized threshold ranges were SAR: 2.22‒2.54, BS: 68.47‒82.34, and GP: 0.1‒0.14.

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Section: Machine Learning Predicts Visual Perception Preference and E...mentioning

confidence: 99%

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Li,

Huang,

Zhang

et al. 2023

Preprint

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“…Plants offer a range of benefits beyond just appearances and aesthetic values [13,14]. For example, conifers, with their needle-like leaves and adaptability to various microclimates, and deciduous trees, known for their diverse shapes and sizes, can enhance thermal comfort [15][16][17][18]. Prior research on tree cooling effects has demonstrated that trees with darker crowns reduce direct sunlight exposure [19].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the effects of different tree species on enhancing outdoor thermal comfort in a post-industrial landscape

Vatani,

Kiani,

Mahdavinejad

et al. 2024

Environ. Res. Lett.

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A frequently emphasized strategy to reduce the burden of heat in cities across the world is the implementation of street trees. Here, we examine the effects of deciduous and coniferous tree deployment on meteorological variables and pedestrian themal comfort through analysis of the new dynamic thermal comfort (dPET) index, using the latest version of the computational fluid dynamics model ENVI-met. We performed on site observational measurements of air temperature (Ta), relative humidity (Rh), wind speed (Ws), and mean radiant temperature (MRT) at 5 different locations on the hottest day of summer 2023, in a post-industrial urban landscape located in Tehran, Iran. Observations were used to evaluate ENVI-met simulation performance and served as a baseline against which sensitivity experiments – based on a minimum (35%) and maximum (75%) intervention scenario for deciduous and coniferous trees – were compared against. Our analysis indicates that 35% and 75% deployment reduced Ta by 1.2°C and 4.2°C, respectively, for deciduous tree species, compared to a 0.9°C and 3.1°C reduction for coniferous species, during the hottest day of summer 2023. The maximum deployment scenario decreased MRT by approximately 60°C and 43°C for deciduous and coniferous tree deployment, respectively. The maximum tree deployment scenario decreased dPET by nearly 16°C and 14°C for deciduous and coniferous trees, respectively, during the time of day that diurnal heating is maximized. Our findings highlight micrometeorological and personalized thermal comfort effects associated with variable tree species type and extent through examination of a pedestrian's ambulatory experience across diverse urban microclimates in a region of the world that is particularly understudied.

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“…Intelligent tree positioning in cities has recently been applied in other fields of research, such as the strategic planning of trees in a city area to improve the walkability of the outdoor space [24] . However, tree rearrangement has not been studied yet for minimizing the impact of tree roots on pipes and, thus, going towards securing wastewater networks.…”

Section: Introductionmentioning

confidence: 99%

Seamless integration of sewer system topology and tree location data: An algorithm to diagnose the potential impact of tree roots on pipes and propose rearrangement solutions

Martínez,

Bergillos,

Corominas

et al. 2024

Heliyon

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Optimization of tree positioning to maximize walking in urban outdoor spaces: A modeling and simulation framework

Cited by 16 publications

References 59 publications

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Visual Perception Optimization of Residential Leisure Space in Cold Regions Using Virtual Reality and Machine Learning

Evaluating the effects of different tree species on enhancing outdoor thermal comfort in a post-industrial landscape

Seamless integration of sewer system topology and tree location data: An algorithm to diagnose the potential impact of tree roots on pipes and propose rearrangement solutions

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