Effects of roadside green infrastructure on particle exposure: A focus on cyclists and pedestrians on pathways between urban roads and vegetative barriers

Jia, Yiwang; Lu, Kang; Zheng, Tie; Li, Xiaobing; Liu, Xin; Peng, Zhong-Ren; He, Hong-di

doi:10.1016/j.apr.2021.01.017

Cited by 46 publications

(13 citation statements)

References 64 publications

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“…Genetic algo-rithm is an adaptive search and optimization algorithm based on the principles of natural genetics and natural selection. It can solve not only linear optimization problems, but also nonlinear optimization problems [2]. At present, genetic algorithm has been widely used in many fields and achieved good results, which fully shows the effectiveness of genetic algorithm.…”

Section: Introductionmentioning

confidence: 94%

The Construction of Urban Park Green Infrastructure Network Based on Genetic Algorithm

Wang

Hou

et al. 2022

Wireless Communications and Mobile Computing

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In order to build a scientific and reasonable urban park green infrastructure network. Genetic Tabu hybrid algorithm is introduced into the field of urban park green infrastructure network construction, using ENVI5.5, ArcGIS10.2, Conefor2.6, and other software to construct the comprehensive green infrastructure network model and corresponding algorithm of a city park and improve and compare the genetic algorithm and Tabu search algorithm. Firstly, the ecological sensitivity of urban parks was evaluated, and 58 ecological source patches with high ecological value were selected. With the help of GIS platform, 71 potential corridors are simulated and generated by using the minimum cost path model. Then, select the index that can evaluate the importance of source patches in the ecological network to determine the importance ranking of source patches. Finally, according to the principles of clustering and network connectivity, select the ecological source with high patch importance, analyze the potential ecological corridor and current corridor, and combine and screen the factors of green infrastructure network. The results show that a city park green infrastructure network composed of 38 ecological source patches and 19 corridors is finally formed. Genetic algorithm has a potential application prospect in the construction of urban park green infrastructure network. By introducing genetic Tabu hybrid algorithm into the field of urban park green infrastructure network construction, it will change the mode of traditional urban park green infrastructure network construction.

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Section: Introductionmentioning

confidence: 94%

The Construction of Urban Park Green Infrastructure Network Based on Genetic Algorithm

Wang

Hou

et al. 2022

Wireless Communications and Mobile Computing

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“…Among the studies investigated in this review, SRANS is broadly Fig. 1 CFD applications in PLW studies published in recent 5 years applied to investigate PLW flow fields in different urban settings, ranging from an isolated building (Huang et al, 2021;Jia et al, 2021;van Druenen et al, 2019;Weerasuriya et al, 2018;Zhang, Yang, et al, 2021) to more complex geometries such as building arrays (Allegrini & Carmeliet, 2017;Hang, Chen, et al, 2018;Hang, Xian, et al, 2018;Lin et al, 2019;Sattar et al, 2018;Sha et al, 2018), generic street canyons (Liu et al, 2021;Sun & Zhang, 2018;Wen & Malki-Epshtein, 2018;Yang et al, 2020;Zhang et al, 2019;Zhang, Chen, et al, 2020), and realistic urban areas (Ricci et al, 2020;Santiago et al, 2021;Sousa & Gorle, 2019;Tsichritzis & Nikolopoulou, 2019;Vervoort et al, 2019).…”

Section: Turbulence Modelingmentioning

confidence: 99%

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment

Zhong

Liu

Zhao

et al. 2022

ARIN

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Pressing problems in urban ventilation and thermal comfort affecting pedestrians related to current urban development and densification are increasingly dealt with from the perspective of climate change adaptation strategies. In recent research efforts, the prime objective is to accurately assess pedestrian-level wind (PLW) environments by using different simulation approaches that have reasonable computational time. This review aims to provide insights into the most recent PLW studies that use both established and data-driven simulation approaches during the last 5 years, covering 215 articles using computational fluid dynamics (CFD) and typical data-driven models. We observe that steady-state Reynolds-averaged Navier-Stokes (SRANS) simulations are still the most dominantly used approach. Due to the model uncertainty embedded in the SRANS approach, a sensitivity test is recommended as a remedial measure for using SRANS. Another noted thriving trend is conducting unsteady-state simulations using high-efficiency methods. Specifically, both the massively parallelized large-eddy simulation (LES) and hybrid LES-RANS offer high computational efficiency and accuracy. While data-driven models are in general believed to be more computationally efficient in predicting PLW dynamics, they in fact still call for substantial computational resources and efforts if the time for development, training and validation of a data-driven model is taken into account. The synthesized understanding of these modeling approaches is expected to facilitate the choosing of proper simulation approaches for PLW environment studies, to ultimately serving urban planning and building designs with respect to pedestrian comfort and urban ventilation assessment.

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“…The units of mean, standard deviation (SD), and range are counts/L. air pollutants (42)(43)(44). Consequently, sometimes the relationships between traffic volume and particle pollution are very weak.…”

Section: Influence Of Traffic and Meteorological Conditions On Pm In Port And Urban Areasmentioning

confidence: 99%

Characterizing the Particle Variations and Human Exposure in Port and Urban Areas

Zhao

et al. 2021

Transportation Research Record: Journal of the Transportation R

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In port areas, traffic is characterized by container trucks which run on diesel, while in urban areas it is characterized by private cars which run on petrol. The different fuels as pollution sources cause distinct particle pollution. This study offers an in-depth investigation of particle pollution and corresponding short-term exposures in port and urban areas. Field measurements were carried out to collect the data including particulate matter and traffic volume. Based on the data, firstly, the Pearson correlation analysis was performed to analyze the relationships between traffic volume and particles. Secondly, the Anderson–Darling test was adopted to identify the “best-fit” distributions on particles. Thirdly, comparisons of particle pollution levels in port and urban areas were analyzed. Finally, the pedestrian respiratory deposition doses of particles were estimated. The results indicate the importance and urgency of reducing air pollution, especially for port cities, and provide policymakers with a foundation for possible measures in the port city.

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Effects of roadside green infrastructure on particle exposure: A focus on cyclists and pedestrians on pathways between urban roads and vegetative barriers

Cited by 46 publications

References 64 publications

The Construction of Urban Park Green Infrastructure Network Based on Genetic Algorithm

The Construction of Urban Park Green Infrastructure Network Based on Genetic Algorithm

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment

Characterizing the Particle Variations and Human Exposure in Port and Urban Areas

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