The impact of cost feedbacks on the land-use dynamics induced by a tradable permit market

2017 ◽  
Vol 29 ◽  
pp. 82-86 ◽  
Author(s):  
Martin Drechsler
Keyword(s):  
Land Use ◽  
Land Use Dynamics ◽  
Tradable Permit ◽  
The Impact

scholarly journals Mapping mining waste : an investigation of the impact of mining activities on settlement patterns

2021 ◽  
Author(s):  
Mohammad A. Alam
Keyword(s):  
Land Use ◽  
Mining Activities ◽  
Land Uses ◽  
Mining Sites ◽  
Land Use Dynamics ◽  
Physical Attributes ◽  
Human And Nature ◽  
The Impact ◽  
Impact Of Mining ◽  
Settlement Areas

This research focuses on the waste and environmental damage caused by mining activities and the impact that this has on settlement pattern of adjacent areas. This research identifies that mining cities are unique in their land use dynamics due to the physical attributes of mining sites and there impacts on human and nature. Using a method of three sequential approaches to understand the land use dynamics of mining cities the first study examines the physical attributes of mining sites, through the creation of a new data set that combines existing and abandoned sites from existing separate datasets, outlining production, proximity to settlement areas and water bodies to identify their degree of threat to human and nature. Secondly, a single case study of Copper Cliff, ON is used to investigate how mining activities and its changes interact with surrounding land uses through a Land mosaic-function-land change feedback model adapted from Richard T.T. Forman’s theory of land mosaic. The analysis then investigates the policy responses that are enacted to mitigate the mining activities with other land uses. The analysis identifies that the potential impact of mining activities is more prominent where mining waste production is higher and located at close proximity to settlement areas. However, although the growth pattern of settlement areas are often guided by the physical characteristics of mining sites, effective response of land use policies may stimulate positive changes of land use pattern.

scholarly journals Mapping mining waste : an investigation of the impact of mining activities on settlement patterns

2021 ◽  
Author(s):  
Mohammad A. Alam
Keyword(s):  
Land Use ◽  
Mining Activities ◽  
Land Uses ◽  
Mining Sites ◽  
Land Use Dynamics ◽  
Physical Attributes ◽  
Human And Nature ◽  
The Impact ◽  
Impact Of Mining ◽  
Settlement Areas

This research focuses on the waste and environmental damage caused by mining activities and the impact that this has on settlement pattern of adjacent areas. This research identifies that mining cities are unique in their land use dynamics due to the physical attributes of mining sites and there impacts on human and nature. Using a method of three sequential approaches to understand the land use dynamics of mining cities the first study examines the physical attributes of mining sites, through the creation of a new data set that combines existing and abandoned sites from existing separate datasets, outlining production, proximity to settlement areas and water bodies to identify their degree of threat to human and nature. Secondly, a single case study of Copper Cliff, ON is used to investigate how mining activities and its changes interact with surrounding land uses through a Land mosaic-function-land change feedback model adapted from Richard T.T. Forman’s theory of land mosaic. The analysis then investigates the policy responses that are enacted to mitigate the mining activities with other land uses. The analysis identifies that the potential impact of mining activities is more prominent where mining waste production is higher and located at close proximity to settlement areas. However, although the growth pattern of settlement areas are often guided by the physical characteristics of mining sites, effective response of land use policies may stimulate positive changes of land use pattern.

THE IMPACT OF DIFFERENT URBAN LAND USE TYPES ON AIR POLLUTION IN THE MEGACITY OF SÃO PAULO

2020 ◽  
Vol 7 (1) ◽  
pp. 91
Author(s):  
Júlio Barboza Chiquetto ◽  
Maria Elisa Siqueira Silva ◽  
Rita Yuri Ynoue ◽  
Flávia Noronha Dutra Ribieiro ◽  
Débora Souza Alvim ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Urban Land ◽  
Sao Paulo ◽  
Urban Land Use ◽  
São Paulo ◽  
Land Use Types ◽  
The Impact

A poluição do ar é influenciada por fatores naturais e antropogênicos. Quatro pontos de monitoramento (veicular, comercial, residencial e background urbano (BGU))da poluição do ar em São Paulo foram avaliados durante 16 anos, revelando diferenças significativas devidoao uso do solo em todas as escalas temporais. Na escala diurna, as concentrações de poluentes primários são duas vezes mais altas nos pontos veicular e residencial do que no ponto BGU, onde a concentração de ozonio (O3) é 50% mais alta. Na escala sazonal, as concentrações de monóxido de carbono(CO) variaram em 80% devido ao uso do solo, e 55% pela sazonalidade.As variações sazonais ede uso do solo exercem impactos similares nas concentrações de O3 e monóxido de nitrogênio (NO). Para o material particulado grosso (MP10) e o dióxido de nitrogênio(NO2), as variações sazonais são mais intensas do que as por uso do solo. Na série temporal de 16 anos, o ponto BGU apresentou correlações mais fortes e significativas entre a média mensal de ondas longas (ROL) e o O3 (0,48) e o MP10 (0,37), comparadas ao ponto veicular (0,33 e 0,22, respectivamente). Estes resultados confirmam que o uso do solo urbano tem um papel significativo na concentração de poluentes em todas as escalas de análise, embora a sua influência se torne menos pronunciada em escalas maiores, conforme a qualidade do ar transita de um sistema antropogênico para um sistema natural. Isto poderá auxiliar decisões sobre políticas públicas em megacidades envolvendo a modificação do uso do solo.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

scholarly journals Carbon Dynamics in the Northeastern Qinghai–Tibetan Plateau from 1990 to 2030 Using Landsat Land Use/Cover Change Data

2020 ◽  
Vol 12 (3) ◽  
pp. 528 ◽  
Author(s):  
Jingye Li ◽  
Jian Gong ◽  
Jean-Michel Guldmann ◽  
Shicheng Li ◽  
Jie Zhu
Keyword(s):  
Land Use ◽  
Tibetan Plateau ◽  
Carbon Storage ◽  
Sharp Decrease ◽  
Total Carbon ◽  
Qinghai Lake ◽  
Lake Basin ◽  
Ecosystem Carbon ◽  
Trade Offs ◽  
The Impact

Land use/cover change (LUCC) has an important impact on the terrestrial carbon cycle. The spatial distribution of regional carbon reserves can provide the scientific basis for the management of ecosystem carbon storage and the formulation of ecological and environmental policies. This paper proposes a method combining the CA-based FLUS model and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model to assess the temporal and spatial changes in ecosystem carbon storage due to land-use changes over 1990–2015 in the Qinghai Lake Basin (QLB). Furthermore, future ecosystem carbon storage is simulated and evaluated over 2020–2030 under three scenarios of natural growth (NG), cropland protection (CP), and ecological protection (EP). The long-term spatial variations in carbon storage in the QLB are discussed. The results show that: (1) Carbon storage in the QLB decreased at first (1990–2000) and increased later (2000–2010), with total carbon storage increasing by 1.60 Tg C (Teragram: a unit of mass equal to 1012 g). From 2010 to 2015, carbon storage displayed a downward trend, with a sharp decrease in wetlands and croplands as the main cause; (2) Under the NG scenario, carbon reserves decrease by 0.69 Tg C over 2020–2030. These reserves increase significantly by 6.77 Tg C and 7.54 Tg C under the CP and EP scenarios, respectively, thus promoting the benign development of the regional ecological environment. This study improves our understanding on the impact of land-use change on carbon storage for the QLB in the northeastern Qinghai–Tibetan Plateau (QTP).

scholarly journals Evaluating Satellite Imagery‐Based Land Use Data for Describing Forestland Development in Western Washington

2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Econometric Model ◽  
Landsat Imagery ◽  
Forest Inventory And Analysis ◽  
The Us ◽  
Western Washington ◽  
Us Census ◽  
The Impact ◽  
Density Development

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.

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