Spatial planning as a driver of change in mobility and residential energy consumption

Dujardin, Sébastien; Marique, Anne-Françoise; Teller, Jacques

doi:10.1016/j.enbuild.2012.10.059

Cited by 26 publications

(18 citation statements)

References 16 publications

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“…The reason behind this high percentage of insulation level in glazing area is that (France-Laure et al, 2011). The same fact has also been supported by the decreasing heating energy requirement for the buildings over the period of time (Table 6) (Dujardin et al, 2010(Dujardin et al, , 2013Walloon Government, 2007). Table 6 represents the heating energy consumption per year of the building stock over the years.…”

Section: Building Energy Performance Analysismentioning

confidence: 70%

“…It is also found from the data base that in Walloon region the external walls of 91% and roof of 78% of houses are not insulated. It is observed from the temperature profile of Liege that most of the time of the year heating is required and the same fact is being supported by the relatively high heating degree days of Liege (Table 6) (Dujardin et al, 2010(Dujardin et al, , 2013Walloon Government, 2007).…”

Section: Building Energy Performance Analysismentioning

confidence: 89%

“…Table 6 represents the heating energy consumption per year of the building stock over the years. This heating energy consumption of the buildings are calculated based on a model which takes into account the physical parameters of the wall, roof, insulation level, ventilation rate, internal gains, efficiency of heating system, solar insolation and shading (Dujardin et al, 2010(Dujardin et al, , 2013Walloon Government, 2007 . Prominent reason behind this difference is the standard degree-days.…”

Section: Building Energy Performance Analysismentioning

confidence: 99%

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An analysis on energy efficiency initiatives in the building stock of Liege, Belgium

2013

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Energy efficiency studies of building stock of Liege, Belgium. Energy Performance Building Directive is used as reference for analysis. Buildings age, built-up area and energy consumption data are used for analysis. Identifies the areas to improve energy efficiency of building stock. a r t i c l e i n f o t r a c tBuilt environment is responsible for 60% of total energy consumption in European countries and 128 million BOE of primary energy in Belgium. The average energy consumption in the residential buildings of Belgium is 70% higher than the EU average and stands at 348 kW h/m 2 /year. Energy Performance Building Directive (EPBD) provides guidelines for energy performance analysis of buildings in Belgium.In this study, a holistic approach has been adopted to analyse the building stock of Liege, Belgium. This analysis is based on 'General Socio-economic survey 2001' and 'Housing quality survey 2006 in Walloon region' databases. It considers parameters such as buildings age, built-up area, type of heating system, type of fuel used, adjacency, insulation of roofs and walls and energy consumption etc. for an in depth analysis. This study concludes that about 69% of buildings which are constructed before 1945 needs serious renovation towards the improvement of roof and external wall insulation level. It then successfully identifies specific areas which need detailed study to evaluate the comfort status in the existing building stock, improvement of insulation level and its effect on heating energy consumption as well as the economic analysis on energy efficiency measurements.

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Section: Building Energy Performance Analysismentioning

confidence: 70%

Section: Building Energy Performance Analysismentioning

confidence: 89%

Section: Building Energy Performance Analysismentioning

confidence: 99%

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An analysis on energy efficiency initiatives in the building stock of Liege, Belgium

2013

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“…Therefore, many methods including geographically weighted regression [33] and spatial correlation analysis [34] were introduced. Dujardin et al [35] analyzed the impact of territorial structures upon energy consumption in the Wakkoon Region and revealed that some rural settlements characterized by low density show good performance in terms of energy efficiency. Li et al [36] described the spatial dynamic distribution of heavy metals by using GIS; and Mua et al [37] also used GIS to analyze the distribution of species.…”

Section: Related Studiesmentioning

confidence: 99%

Spatial Distribution of Energy Consumption and Carbon Emission of Regional Logistics

Fan

Wang

et al. 2015

Sustainability

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Facing serious energy-related constraints and environmental stress, the development of the green logistics industry is restricted by degrees of logistics energy utilization and carbon emissions. Considering different logistics spatial distributions, this paper uses the degree of regional logistics energy utilization and the spatial distribution of carbon emissions as two indicators of green logistics to investigate the regional differences and changes in spatiotemporal logistics energy efficiency. We firstly measure the regional logistics in terms of energy consumption and carbon emission, then further measure the logistics by energy intensity and carbon intensity. Based on these four indicators, the relations between spatiotemporal logistics and regional logistics development are analyzed. Through studying the spatial and temporal evolution trends of the above indicators, we found that a certain convergence exists. Finally, based on the analysis, the suggestions for energy saving and emission reduction are proposed according to regional conditions. The results benefit to narrow the efficiency gap between regions and achieve the goal of improving logistics energy efficiency. OPEN ACCESSSustainability 2015, 7 9141

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“…Topographically, elevations in the region range from sea level to 693 m above sea level. Wallonia is characterized by a strong sprawl and the resulting landscape fragmentation (Dujardin et al, 2014;EEA, 2011). Densification strategies are especially important in such a context so as to limit the further consumption of land and to better structure existing peri-urban areas considering their specificities (De Smet and Teller, 2016).…”

Section: Study Areamentioning

confidence: 99%

Addressing the determinants of built-up expansion and densification processes at the regional scale

et al. 2018

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Abstract:An in-depth understanding of the main factors behind built-up development is a key prerequisite for designing policies dedicated to a more efficient land use. Infill development policies are essential to curb sprawl and allow a progressive recycling of low-density areas inherited from the past. This paper examines the controlling factors of built-up expansion and densification processes in Wallonia (Belgium). Unlike the usual urban/built-up expansion studies, our approach considers various levels of built-up densities to distinguish between different types of developments, ranging from low-density extensions (or sprawl) to high-density infill development. Belgian cadastral data for 1990, 2000, and 2010 were used to generate four classes of built-up areas, namely, non-, low-, medium-and high-density areas. A number of socioeconomic, geographic, and political factors related to built-up development were operationalized following the literature. We then used a multinomial logistic regression model to analyze the effects of these factors on the transitions between different densities in the two decades between 1990 and 2010. The findings indicate that all the controlling factors show distinctive variations based on density. More specifically, the centrality of zoning policies in explaining expansion processes is highlighted. This is especially 2 the case for high-density expansions. In contrast, physical and neighborhood factors play a larger role in infill development, especially for dense infill development.

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Spatial planning as a driver of change in mobility and residential energy consumption

Cited by 26 publications

References 16 publications

An analysis on energy efficiency initiatives in the building stock of Liege, Belgium

An analysis on energy efficiency initiatives in the building stock of Liege, Belgium

Spatial Distribution of Energy Consumption and Carbon Emission of Regional Logistics

Addressing the determinants of built-up expansion and densification processes at the regional scale

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