Environmental driving forces of urban growth and development

Ascione, Marco; Campanella, Luigí; Cherubini, Francesco; Ulgiati, Sérgio

doi:10.1016/j.landurbplan.2009.07.011

Cited by 103 publications

(51 citation statements)

References 16 publications

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“…Subsequently, from the aforementioned energy balance, transformities of large ecosystems such as forests, marine and wetland ecosystems, agricultural landscapes and lakes were calculated [44][45][46]. Likewise, from these transformities, unit values of resources such as wood, soil, water, among others, were estimated, and so on; emergy unit values of human-made materials, products and services have been calculated with a very good level of detail and are available for their use in studies of different academic disciplines [21,23].…”

Section: Emergy Synthesismentioning

confidence: 99%

“…For case studies of emergy synthesis in the built environment, the following papers may also be consulted [23][24][25][26][27][28]33,51]. …”

Section: Emergy Synthesismentioning

confidence: 99%

“…Empower density is the total emergy used in a given area (in this case, the habitable area) per unit time; as mentioned above, it is an indicator of resource use intensity with high values for industrial activities and urban centers [83]; it may also may indicate scarcity of available land or need of support land [23]. U cap , EH and ED Hab may also evidence 'abuse' of resource consumption, depending on the origin of the emergy flows.…”

Section: Per Household Income and Available Space Per Personmentioning

confidence: 99%

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Emergy Evaluation of Dwelling Operation in Five Housing Units of Montreal Island, Canada

et al. 2017

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Sustainability of cities and the environmental implications of high resource utilization by the domestic sector are growing concerns related to urban regions. Well-informed urban planning decision-making is an essential tool to help in the task and, for that, an important point to consider is the influence of parameters like residential density and housing typology on the intensity of resource utilization. Emergy synthesis, a life-cycle energy analysis methodological approach that considers the interaction of natural and human-made flows, was used to evaluate the environmental support for dwelling operational stage in five typical present-day housing units on the island of Montreal. As expected, resource utilization, measured as total emergy used, was positively correlated to housing unit size both with respect to number of occupants and dwelling size. Results suggest that variables affecting notably the intensity of resource utilization are per household income and per dweller habitable space and, while a higher income increased per capita emergy in all cases, increasing space availability per resident did not result in a decrease of empower density after 50 m 2 /person. Future work should consider lower and higher densities and analyses at the scale of blocks, neighborhoods and urban planning zones.

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Section: Emergy Synthesismentioning

confidence: 99%

“…For case studies of emergy synthesis in the built environment, the following papers may also be consulted [23][24][25][26][27][28]33,51]. …”

Section: Emergy Synthesismentioning

confidence: 99%

Section: Per Household Income and Available Space Per Personmentioning

confidence: 99%

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Emergy Evaluation of Dwelling Operation in Five Housing Units of Montreal Island, Canada

et al. 2017

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“…Thus, research on urban metabolism has a significant role in exploring issues of urban sustainability and helps city managers to make decisions on urban planning [6]. In recent years, many scholars have selected some cities as research subjects, to probe deeply into urban metabolisms regarding socio-economic processes and characteristics to depict the development structure and pattern of a city; some are focused on the metropolitan cities like Beijing, Taipei, Rome and Curitiba [7][8][9][10]. There are some researchers who concentrate on specific types of cities, such as Suzhou, an export-oriented city in Eastern China [11], and Shenyang, an industrial city in the northeast of China.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis for the Urban Metabolic Differences of Two Types of Cities in the Resource-Dependent Region Based on Emergy Theory

Liu

Shi

et al. 2016

Sustainability

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Urban metabolism analysis has become a useful and effective tool to explore urban socio-economic processes. In this research, in order to explore the similarities and differences of metabolic characteristics and variation rules of different types of resource-dependent cities, we selected two cities-Taiyuan and Jincheng, the capital and a traditional resource-dependent city of Shanxi province, respectively, as research subjects, we also established an urban metabolic evaluation framework by employing a set of eight emergy-based indicators from socio-economic data from 2007 to 2014, and compared the similarities and discrepancies from the perspectives of metabolic structure, intensity, pressure, and efficiency, and put forward some suggestions for pursuing sustainable development for both cities and pointed out that more types of resource-dependent cities should be incorporated in future research work.

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“…In this sense, the determination of driving forces (socio-economic, environmental, or other) that are the cause of LUCC is fundamental to understand the factors that induced them and for the creation of measures aimed at the sustainability of land use [15,17]. Some studies demonstrating the links between driving forces and LUCC have appeared recently, also quantifying how much each factor represents to the observed changes [13,[18][19][20][21][22]. …”

mentioning

confidence: 99%

Modeling the Probability of Surface Artificialization in Zêzere Watershed (Portugal) Using Environmental Data

Meneses

Reis

Vale

et al. 2016

Water

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Abstract:The land use and land cover (LUC) of the Zêzere watershed (Portugal) have undergone major changes in recent decades, with the increase of artificial surfaces. This trend is quantified in some studies, but the probability of the increase of this type of LUC, nor the places where the next transitions or land use/cover changes (LUCC) for artificial surfaces will have high probability of occurrence has not yet been assessed. This research presents an evaluation of these two aspects, by means of bivariate statistical models (fuzzy logic and information value) and environmental data. The artificialization probability by sectors within the same watershed is also evaluated, to further understand which areas will require greater attention, taking into account the environmental conditions favorable to the occurrence of this process and bearing in mind the conditions under which this process took place in the past. The results obtained using these models were assessed independently, through curves of success, noting that the modeling through the fuzzy gamma presents slightly better efficiency in determining the probability of artificialization surfaces in the study area. The area with the highest probability of artificialization is mostly located in the SW of this watershed, but high probabilities are also present in the upstream sector, being those areas that require further preventive measures once they have influence on the water quality and quantity in the main reservoirs of this watershed.Keywords: LUC; LUCC; artificial surfaces; fuzzy logic; information value; spatial analysis; water quality The Artificialization of Surfaces and Their AssessmentUrban growth has been evaluated in different territories around the world, considering the spatiotemporal aspect, as well as the factors that induced it [1][2][3][4][5][6]. Other studies have emerged in the context of land use and land cover changes (LUCC) to assess where the soils are being converted into artificial surfaces [7][8][9][10][11], especially when there is loss of soils essential for the development of agricultural practices, or the conversion of forest areas. These processes have multiple socio-economic and environmental impacts [12][13][14][15][16]. In this sense, the determination of driving forces (socio-economic, environmental, or other) that are the cause of LUCC is fundamental to understand the factors that induced them and for the creation of measures aimed at the sustainability of land use [15,17]. Some studies demonstrating the links between driving forces and LUCC have appeared recently, also quantifying how much each factor represents to the observed changes [13,[18][19][20][21][22].

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Environmental driving forces of urban growth and development

Cited by 103 publications

References 16 publications

Emergy Evaluation of Dwelling Operation in Five Housing Units of Montreal Island, Canada

Emergy Evaluation of Dwelling Operation in Five Housing Units of Montreal Island, Canada

Comparative Analysis for the Urban Metabolic Differences of Two Types of Cities in the Resource-Dependent Region Based on Emergy Theory

Modeling the Probability of Surface Artificialization in Zêzere Watershed (Portugal) Using Environmental Data

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