Proceedings of the 2011 IEEE International Symposium on Sustainable Systems and Technology 2011
DOI: 10.1109/issst.2011.5936893
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Water, energy, land use, transportation and socioeconomic nexus: A blue print for more sustainable urban systems

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Cited by 5 publications
(5 citation statements)
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“…To develop flexible, resilient, and multipurpose flood protection systems, the water, energy, land use, transportation, and socioeconomic nexus need to be jointly considered from a multi-stakeholder perspective (see also e.g., [86]). …”
Section: Climate Change and Related Impactsmentioning
confidence: 99%
“…To develop flexible, resilient, and multipurpose flood protection systems, the water, energy, land use, transportation, and socioeconomic nexus need to be jointly considered from a multi-stakeholder perspective (see also e.g., [86]). …”
Section: Climate Change and Related Impactsmentioning
confidence: 99%
“…Understanding how the water infrastructure interacts with environmental influences and residential resource consumption is essential for developing sustainable infrastructure systems [27]. The need for detailed research to examine the connections between the urban form and overall energy use has been identified [82] along with the need for a greater understanding of the complexity of sustainable infrastructure development [11,83]. Of particular interest, is that water management plays a key role in 10-20% of urban energy use, largely through indirect energy impacts which are considered outside the water utility boundary of responsibility [58].…”
Section: Water Infrastructure and Residential Water Heatingmentioning
confidence: 99%
“…Similarly, Spang and Loge [135] produced energy density (kWh/MG) maps of water supply and sewage disposal services whilst Spang et al [136] evaluated the potential upstream energy and GHG savings of water conservation. The importance of understanding infrastructure interactions to properly plan for sustainable cities was highlighted by Minne et al [83]. This study proposed to build an agent based model for predicting social decision making and subsequent demand for urban infrastructure through the integration of water, energy, land use, transportation, material use, policy decisions and socio-economic data [83].…”
Section: Spatiotemporal Modelling Of Wrementioning
confidence: 99%
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