2020
DOI: 10.1016/j.buildenv.2020.106743
|View full text |Cite
|
Sign up to set email alerts
|

A framework for Air Quality Management Zones - Useful GIS-based tool for urban planning: Case studies in Antwerp and Gdańsk

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 56 publications
(22 citation statements)
references
References 67 publications
0
22
0
Order By: Relevance
“…), and combine virtual space theory with traditional physical space design methods to form a new urban design method system for use in new situations ( Sanchez-Sepulveda, Fonseca, Franquesa, & Redondo, 2019 ). The integration of big data ( Rahman et al, 2020 ), GIS (Geographic Information System) ( Badach, Voordeckers, Nyka, & Van Acker, 2020 ), dynamic simulation methods for virtual space ( Sanchez-Sepulveda et al, 2019 ; Singh, Kaur, & Kumar, 2020 ) as well as fast prediction models ( Feng, Yu, & Cao, 2019 ; Cao, Yu, & Luo, 2020 ) can be used to build a quantitative group-tool for urban design under the normalization phase of epidemics. Taking satellite cloud map from remote sensing technology and GPS (Global Positioning System) data as input variables, the thematic visualization map of the studied area can be finally output ( Shao, Huq, Cai, Altan, & Li, 2020 ).…”
Section: Reflections On the Reform Of Urban Construction In The Post-mentioning
confidence: 99%
“…), and combine virtual space theory with traditional physical space design methods to form a new urban design method system for use in new situations ( Sanchez-Sepulveda, Fonseca, Franquesa, & Redondo, 2019 ). The integration of big data ( Rahman et al, 2020 ), GIS (Geographic Information System) ( Badach, Voordeckers, Nyka, & Van Acker, 2020 ), dynamic simulation methods for virtual space ( Sanchez-Sepulveda et al, 2019 ; Singh, Kaur, & Kumar, 2020 ) as well as fast prediction models ( Feng, Yu, & Cao, 2019 ; Cao, Yu, & Luo, 2020 ) can be used to build a quantitative group-tool for urban design under the normalization phase of epidemics. Taking satellite cloud map from remote sensing technology and GPS (Global Positioning System) data as input variables, the thematic visualization map of the studied area can be finally output ( Shao, Huq, Cai, Altan, & Li, 2020 ).…”
Section: Reflections On the Reform Of Urban Construction In The Post-mentioning
confidence: 99%
“…The first is the very dense urban fabric of the historic centre of Antwerp, with a high proportion of street canyon geometries (compact, high streets flanked by buildings on both sides), which negatively affects the dispersion of pollutants and, therefore, limits them from escaping the increased human exposure areas [24,64]. Moreover, the network of busy roads in Antwerp constitutes a problem [23]. Another major source of air pollution is related to industrial activity and to the operation of the Port of Antwerp.…”
Section: Study Areasmentioning
confidence: 99%
“…400,000 people died in Europe as a result of long-term exposure to air pollution [20]. Therefore, urban development policy and planning practice need to be updated to minimise the negative impact of low air quality on health and well-being of urban inhabitants [21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…provides a decisive role in ensuring the safety, health and comfort of people. 12,13 In the existing research of building physics, a series of numerical simulation tools based on computational fluid dynamics have been developed for building design, 14 which can predict air velocity, temperature and pollutant distributions for small-scale indoor and outdoor environments with reasonable accuracy. 15 However, when applying the above simulation tools to urban planning or urban design, the following problems exist, e.g., the calculation is too slow and time-consuming to be directly applied to engineering design; the boundary interfaces of different scales of physical environment simulation are not clearly constructed; and it is difficult to validate the simulation results of real complex physical environment for large scales.…”
Section: Challenges To Urban Design and Developmentmentioning
confidence: 99%