Integrated simulation of land use, transportation and air quality: Policy tests for the San Francisco region

1983 ◽  
Vol 9 (2) ◽  
pp. 113-124
Author(s):  
Meir Gross ◽  
Mark Horn
Keyword(s):  
Land Use ◽  
Air Quality ◽  
San Francisco ◽  
Integrated Simulation ◽  
Quality Policy

Effects of Transportation and Land Use Policies on Air Quality

2010 ◽  
Vol 2158 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Elena C. McDonald-Buller ◽  
Alba Webb ◽  
Kara M. Kockelman ◽  
Bin (Brenda) Zhou
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Land Use Policies

scholarly journals Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

2021 ◽  
Vol 18 (3) ◽  
pp. 1132
Author(s):  
Qijiao Xie ◽  
Qi Sun
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Urban Planning ◽  
Land Cover ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Water Bodies ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
The Impact

Aerosols significantly affect environmental conditions, air quality, and public health locally, regionally, and globally. Examining the impact of land use/land cover (LULC) on aerosol optical depth (AOD) helps to understand how human activities influence air quality and develop suitable solutions. The Landsat 8 image and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products in summer in 2018 were used in LULC classification and AOD retrieval in this study. Spatial statistics and correlation analysis about the relationship between LULC and AOD were performed to examine the impact of LULC on AOD in summer in Wuhan, China. Results indicate that the AOD distribution expressed an obvious “basin effect” in urban development areas: higher AOD values concentrated in water bodies with lower terrain, which were surrounded by the high buildings or mountains with lower AOD values. The AOD values were negatively correlated with the vegetated areas while positively correlated to water bodies and construction lands. The impact of LULC on AOD varied with different contexts in all cases, showing a “context effect”. The regression correlations among the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI), and AOD in given landscape contexts were much stronger than those throughout the whole study area. These findings provide sound evidence for urban planning, land use management and air quality improvement.

scholarly journals A Cellular Automata Model for Integrated Simulation of Land Use and Transport Interactions

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Studies ◽  
Particle Swarm Algorithm ◽  
Cellular Automata Model ◽  
Integrated Simulation ◽  
The Road ◽  
Ca Model ◽  
The City

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.

scholarly journals Cleaning up the air: Effectiveness of air quality policy for SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions in China

2016 ◽  
Author(s):  
Ronald J. van der A ◽  
Bas Mijling ◽  
Jieying Ding ◽  
Maria Elissavet Koukouli ◽  
Fei Liu ◽  
...  
Keyword(s):  
Air Quality ◽  
Fuel Consumption ◽  
Fossil Fuel ◽  
Transport Sector ◽  
Nox Emissions ◽  
So2 Emissions ◽  
Provincial Level ◽  
Fossil Fuel Consumption ◽  
Public Data ◽  
Quality Policy

Abstract. Air quality observations by satellite instruments are spatially consistent, and have a regular temporal resolution, which make them very useful in studying long-term trends in atmospheric species. To monitor air quality trends in China for the period 2005–2015 we derive SO2 columns and NOx emissions on a provincial level with an unprecedented accuracy. To put these trends into perspective they are compared with public data on energy consumption and the environmental policies of China. We distinguish the effect of air quality regulations from economic growth by comparing them relatively to fossil fuel consumption. Pollutant levels, per unit of fossil fuel, are used to assess the effectiveness of air quality regulations. We note that the desulphurisation regulations enforced in 2005–2006 only had a significant effect in the years 2008–2009 when a much stricter control of the actual use of the installations began. For national NOx emissions a distinct decreasing trend is only visible since 2012, but the emission peak year differs from province to province. Unlike SO2, emissions of NOx are highly related to traffic. Furthermore, regulations for NOx emissions are partly decided on a provincial level. The last three years show both a reduction in SO2 and NOx emissions per fossil fuel unit, since the authorities have implemented several new environmental regulations. Despite an increasing fossil fuel consumption and a growing transport sector, the effects of air quality policy in China are clearly visible. Without the air quality regulations the concentration of SO2 would be almost 3 times higher and the NO2 concentrations would be at least 30 % higher than they are today in China.

Biofuels That Cause Land-Use Change May Have Much Larger Non-GHG Air Quality Emissions Than Fossil Fuels

2012 ◽  
Vol 46 (19) ◽  
pp. 10835-10841 ◽  
Author(s):  
C.-C. Tsao ◽  
J. E. Campbell ◽  
M. Mena-Carrasco ◽  
S. N. Spak ◽  
G. R. Carmichael ◽  
...  
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Land Use Change ◽  
Fossil Fuels
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