scholarly journals Enhanced Classifications of Engineered Paved Surfaces for Urban Systems Modeling

2009 ◽  
Vol 13 (5) ◽  
pp. 1-18 ◽  
Author(s):  
Jay Golden ◽  
W. C. Chuang ◽  
W. L. Stefanov

Abstract There is a greater need than ever for the ability to accurately model urban system impacts resulting around the planet. Rapid urbanization is transforming landscapes from vegetation to an engineered infrastructure and thus altering land cover and land use. These alterations impact urban and global climate change, energy demand, human health, and ecological service functions. This article presents an overview of a refined land-cover classification protocol that seeks to refine current land-cover classifications of engineered paved surfaces. This new approach provides those who model urban systems and engineer the environment as well as other scientists and policy makers an expanded understanding of how intervention to the system can most effectively be accomplished through enhanced modeling. An object-oriented analysis regime is presented for an industrial park utilizing commercial software in conjunction with multispectral and panchromatic Quickbird satellite imagery. A detailed examination of hot-mix asphalt paved surfaces was undertaken in relation to the materials’ engineered function such as various types of streets, parking, etc. The results were validated using a commercial raster graphics editor and data analysis software as well as on-site inspections. An overall accuracy of 95% was achieved.

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 764 ◽  
Author(s):  
Jaruwan Chontanawat

ASEAN is a dynamic and diverse region which has experienced rapid urbanization and population growth. Their energy demand grew by 60% in the last 15 years. In 2013, about 3.6% of global greenhouse-gas emissions was emitted from this region and the share is expected to rise substantially. Hence, a better understanding of driving forces of the changes in CO2 emissions is important to tackle global climate change and develop appropriate policies. Using IPAT combined with variance analysis, this study aims to identify the main driving factors of CO2 emissions for ASEAN and four selected countries (Indonesia, Malaysia, Philippines and Thailand) during 1971–2013. The results show that population growth and economic growth were the main driving factors for increasing CO2 emissions for most of the countries. Fossil fuels play an important role in increasing CO2 emissions, however the growth in emissions was compensated by improved energy efficiency and carbon intensity of fossil energy. The results imply that to decouple energy use from high levels of emissions is important. Proper energy management through fuel substitution and decreasing emission intensity through technological upgrades have considerable potential to cut emissions.


Author(s):  
Sarmada Madhulika Kone

A city is a real-time function with constantly changing variables. Rapid urbanization of the cities and increase in a number of mega cities has made the entire urban management complex. With many parameters involved in it, urban data has started to resemble the characteristics of big data. The nexus between spatial cognition and the frequency of data collection of an urban system explains the role of big data analysis in performance monitoring of the urban systems. Urban data collection and analysis can be possible through participatory planning and participatory citizens. This chapter focuses on understanding the correlation between spatial cognition and participatory planning.


2016 ◽  
Vol 6 (1) ◽  
pp. 34-45
Author(s):  
Seyed J. Faraji ◽  
◽  
Zhang Qingping ◽  
Saman Valinoori ◽  
Mohamad Komijani ◽  
...  

In the current world, cities have become the main arms of the actuator in the movement of social system of human communities. Nevertheless, urban systems in developing countries, despite the vast potentials, are faced with serious problems such as rapid urbanization, constant migration of rural people to cities, and concentration of population and activities in one or two cities, or, in other words, urban macrocephaly. Despite the primacy or dominance of one city in some developed countries, we do not observe clear negative features of urban primacy; on the other hand, although it is not evident in all countries of the developing world, there are evident features of urban systems in most of these countries. This paper aims to identify and understand the formation of the phenomenon of urban primacy in developing countries. The method of this study is descriptive-analytical and is based on document studies and the results of different urban projects in different area of the developing world and it is responding to these questions about the background and causes of the formation of urban primacy in these countries and its consequences of this phenomenon which led this conclusion that this phenomenon should be analyzed from different dimensions of economic, social, cultural, historical, and political and lastly its causes and consequences should be observed with regard to these dimensions.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
T Ma ◽  
R Ivers ◽  
E de Leeuw ◽  
K Clapham ◽  
C Kobel

Abstract Transportation influences health through its effects on people's access to goods, services, and life chance opportunities; social interactions; physical activity levels; air pollution exposures; and road injury risks. Given the ageing of populations, it is essential that decisions about land use and transportation systems are appropriate to meet the mobility needs of older people and support healthy ageing. Not all transportation options, however, may be accessible to older people. Factors that affect accessibility relate to the spatial and physical characteristics of places, personal and social contexts of individuals, and rules and norms underpinning planning and policy making. This research aimed to understand how different parts and processes of urban systems interact to influence transportation options for older people. Using the Greater Sydney area as a case, we drew on key informant interviews and public policy documents to identify the considerations that inform planning and policy making as they pertain to the nature of cities and the opportunities of older people to get out and about. We compared and integrated these findings with peer-reviewed literature of similar urban growth areas. Our analysis mapped the factors of the human-urban system that are central to enabling transportation mobility for older people, articulated their interrelationships, and identified the actors that influence them. Our results point to the involvement of actors from the public health, community development, transportation, and urban planning sectors at multiple levels of government. Each of these actors operate within their own remit to influence a part of the urban system relevant to older people's transportation, such as the zoning of land, the approval of housing developments, and the location of bus stops. However, these individual actions are constrained by others in the system. We interpret this complexity with a governance lens. Key messages Efforts to promote mobility in old age should move beyond ‘single solutions to single issues’ approaches toward those that reflect the complexity of cities and the ways that people move within them. For sustained realization of desired outcomes, age-friendly initiatives cannot occur in isolation, but rather must take into account the behaviours and dynamics of the urban system.


2021 ◽  
Vol 10 (5) ◽  
pp. 272
Author(s):  
Auwalu Faisal Koko ◽  
Wu Yue ◽  
Ghali Abdullahi Abubakar ◽  
Akram Ahmed Noman Alabsi ◽  
Roknisadeh Hamed

Rapid urbanization in cities and urban centers has recently contributed to notable land use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this study seeks to analyze changes in LULC and its spatiotemporal influence on the surface urban heat islands (UHI) in Abuja metropolis, Nigeria. To achieve this, we employed Multi-temporal Landsat data to monitor the study area’s LULC pattern and land surface temperature (LST) over the last 29 years. The study then analyzed the relationship between LULC, LST, and other vital spectral indices comprising NDVI and NDBI using correlation analysis. The results revealed a significant urban expansion with the transformation of 358.3 sq. km of natural surface into built-up areas. It further showed a considerable increase in the mean LST of Abuja metropolis from 30.65 °C in 1990 to 32.69 °C in 2019, with a notable increase of 2.53 °C between 2009 and 2019. The results also indicated an inverse relationship between LST and NDVI and a positive connection between LST and NDBI. This implies that urban expansion and vegetation decrease influences the development of surface UHI through increased LST. Therefore, the study’s findings will significantly help urban-planners and decision-makers implement sustainable land-use strategies and management for the city.


2021 ◽  
Vol 2 (3) ◽  
pp. 1-37
Author(s):  
Hans Walter Behrens ◽  
K. Selçuk Candan ◽  
Xilun Chen ◽  
Yash Garg ◽  
Mao-Lin Li ◽  
...  

Urban systems are characterized by complexity and dynamicity. Data-driven simulations represent a promising approach in understanding and predicting complex dynamic processes in the presence of shifting demands of urban systems. Yet, today’s silo-based, de-coupled simulation engines fail to provide an end-to-end view of the complex urban system, preventing informed decision-making. In this article, we present DataStorm to support integration of existing simulation, analysis and visualization components into integrated workflows. DataStorm provides a flow engine, DataStorm-FE , for coordinating data and decision flows among multiple actors (each representing a model, analytic operation, or a decision criterion) and enables ensemble planning and optimization across cloud resources. DataStorm provides native support for simulation ensemble creation through parameter space sampling to decide which simulations to run, as well as distributed instantiation and parallel execution of simulation instances on cluster resources. Recognizing that simulation ensembles are inherently sparse relative to the potential parameter space, we also present a density-boosting partition-stitch sampling scheme to increase the effective density of the simulation ensemble through a sub-space partitioning scheme, complemented with an efficient stitching mechanism that leverages partial and imperfect knowledge from partial dynamical systems to effectively obtain a global view of the complex urban process being simulated.


2017 ◽  
Author(s):  
Matthew C. Wozniak ◽  
Allison Steiner

Abstract. We develop a prognostic model of Pollen Emissions for Climate Models (PECM) for use within regional and global climate models to simulate pollen counts over the seasonal cycle based on geography, vegetation type and meteorological parameters. Using modern surface pollen count data, empirical relationships between prior-year annual average temperature and pollen season start dates and end dates are developed for deciduous broadleaf trees (Acer, Alnus, Betula, Fraxinus, Morus, Platanus, Populus, Quercus, Ulmus), evergreen needleleaf trees (Cupressaceae, Pinaceae), grasses (Poaceae; C3, C4), and ragweed (Ambrosia). This regression model explains as much as 57 % of the variance in pollen phenological dates, and it is used to create a climate-flexible phenology that can be used to study the response of wind-driven pollen emissions to climate change. The emissions model is evaluated in a regional climate model (RegCM4) over the continental United States by prescribing an emission potential from PECM and transporting pollen as aerosol tracers. We evaluate two different pollen emissions scenarios in the model: (1) using a taxa-specific land cover database, phenology and emission potential, and (2) a PFT-based land cover, phenology and emission potential. The resulting surface concentrations for both simulations are evaluated against observed surface pollen counts in five climatic subregions. Given prescribed pollen emissions, the RegCM4 simulates observed concentrations within an order of magnitude, although the performance of the simulations in any subregion is strongly related to the land cover representation and the number of observation sites used to create the empirical phenological relationship. The taxa-based model provides a better representation of the phenology of tree-based pollen counts than the PFT-based model, however we note that the PFT-based version provides a useful and climate-flexible emissions model for the general representation of the pollen phenology over the United States.


Stanovnistvo ◽  
2017 ◽  
Vol 55 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Predrag Petrovic ◽  
Goran Nikolic ◽  
Ivana Ostojic

Over the past several decades there has been a strong intensifying trend of human society impact on ecosystems, consumption of natural resources and global change. The environmental impact of the society is fully apparent and dominantly implemented through various greenhouse gases emissions (GHG), leading towards global climate change with considerably spread harmful effects. Global climate change includes the earth and ocean surface and atmospheric warming, but also melting of snow and ice, increase of sea levels and ocean acidity, as well as ever more common natural phenomena extremes (winds, various forms of rainfall/precipitation, extremely low or high temperatures, etc.). Scientists are well-familiarized with the fact that use of fossil fuels, such as oil derivatives and coal, is the main generator of harmful gases. In addition, possible substitutions for fossil fuels in the form of other energy sources are very limited, and it should be remembered that other energy sources also have certain adverse environmental effects. Bearing in mind climate change caused by products of fossil fuels combustion, as well as inevitable depletion of natural crude oil resources, management of growing global energy demand becomes one of the key goals and challenges of 21st century. If these reasons are coupled with obligations emanating from Kyoto Protocol, it is clear that attention of researches should be more than reasonably focused on the main determinants of energy consumption. This study is focused on illumination of key demographic and economic determinants of energy consumption in 28 EU member states in the period 1960- 2014. The results obtained demonstrate that population positively and quite strongly influence total energy consumption. An increase of population of 1% will result in an increase of energy consumption of 1.59% to 1.76%. Such relation most probably can be explained by the fact that demographic growth of the society aggravates and complicates planning processes of efficient energy consumption, diminishing the ability of society to be energy efficient. The population effect of persons aged 65 and above to energy consumption is also positive. An increase in share of this age group of 1% will result in an increase in energy consumption of approximately 0.43%. Positive elasticity coefficient should be understood as a proof that European societies with higher share of senior citizens consume more energy that societies with higher share of younger population, not necessarily as an argument that senior citizens use more energy than younger population. The explanation for such nature of a cause-andeffect relation could be that high share of senior citizens influences the structure of production and consumption, spatial distribution of population, transport infrastructure and social services provided. A significant influence on energy consumption in the EU is made by the level of economic development of countries, which is in accordance with the Environmental Kuznets Curve (EKC), suggesting a relation of inverted letter ?U?. The amount of income per capita needed to have the EKC expressed ranges between 54,183 and 81,552 dollars.


Urbanization plays a key role in the health of the water bodies in any region. In a rapidly growing country like India, especially Bangalore district, rapid urbanization has seen a steep decline in the number of water bodies the region is famous for. In this paper, Land Use and Land Cover change is analysed for the remotely sensed images of Bangalore District using Spectral Angle Mapper Algorithm. Data for the purpose of analysis was obtained from BHUVAN (NRSC, ISRO). The study area is Bangalore District and data was collected from the time period 2008-2016. The major classes used in the classification are Land(Built-up), water bodies (Lakes), Vegetation (Gardens), Soil (Barren and fertile). The satellite images and the accompanying classification algorithms indicate that the percentage of water bodies have drastically shrunk (from 2.9% in 2008to1.8% in 2016) in the area of study. The results of this study can be used by the civic authorities to implement decisions to conserve the water bodies in the area.


Ciudades ◽  
2017 ◽  
pp. 13
Author(s):  
Frederick R. Steiner

This panoramic view shows how are focused today the relationships between Nature and the City by research scholars and practitioners in North America. In the American context of an “endless city”, it develops four key ideas for a better approach to urban ecosystems: urban ecology, sustainability, new regionalism and landscape urbanism. Urban ecology has emerged as an interdisciplinary approach for understanding the “drivers, patterns, processes, and outcomes” associated with urban and urbanizing landscapes. With the leadership of several American cities, as New York City, Chicago, Seattle and Portland, urban greening efforts based on principles of sustainability are developed. The new perspectives on regionalism are evident in different efforts associated with the megaregion/megapolitan concept: a new geographic unit of analysis and a new scale for planning. This new regionalism represents a movement led by architects and planners involving geographers, demographers, and policy makers. Finally, landscape urbanism is a more design-based approach. Instead of viewing nature in the city, we have begun to understand the ecology of cities: the urban systems are ecosystems. As a result, “nature cannot be used as exterior decoration, but rather as integral to the health and resiliency of human settlement”.


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