Articulating a trans-boundary infrastructure supply chain greenhouse gas emission footprint for cities: Mathematical relationships and policy relevance

By A. Chávez, A. Ramaswami. 2013

116 citations recorded by the source corpus.

This paper compares the policy relevance and derives mathematical relationships between three approaches for GHG emissions accounting for cities. The three approaches are: (a) Purely-Geographic Inventory, (b) Trans-boundary Community-Wide Infrastructure Footprint (CIF), and (c) Consumption-Based Footprint (CBF). Mathematical derivations coupled with case study of three US communities (Denver Colorado, Routt Colorado, and Sarasota Florida), shows that no one method provides a larger or more holistic estimate of GHG emissions associated with communities. A net-producing community (Routt) demonstrates higher CIF GHG emissions relative to the CBF, while a net-consuming community (Sarasota) yields the opposite. Trade-balanced communities (Denver) demonstrate similar numerical estimates of CIF and CBF, as predicted by the mathematical equations. Knowledge of community typology is important in understanding trans-boundary GHG emission contributions.

Subfields: Environmental Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/9a93917eca61407abd4aaa0b6e68864b8401fdf1

How researchers see this paper

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In Environmental Engineering

1. D. Guan
2. T. Wiedmann
3. Klaus Hubacek
4. Kuishuang Feng
5. Manfred Lenzen
6. E. Dietzenbacher
7. Jing Meng
8. J. Barrett

In Transportation

1. Klaus Hubacek
2. D. Guan
3. Kuishuang Feng
4. Jing Meng
5. J. Barrett
6. G. Baiocchi
7. T. Wiedmann
8. Helga Weisz

Citations in the corpus

• An urban systems framework to assess the trans-boundary food-energy-water nexus: implementation in Delhi, India (2017, background): “…serve community-wide infrastructure provisioning to producers and consumers (i.e. homes, businesses, visitors, industries) called community-wide infrastructure footprinting (CIF) (Ramaswami et al 2008, Chavez and Ramaswami 2013, Baynes et al 2011, Hu et al 2016). demand (e.g. Jenerette et al 2006).”
• Entropy-based Chinese city-level MRIO table framework (2021, methodology): “…a downscaling approach derived from national data with locally featured data (e.g. employment and demographic data) in an attempt to capture local heterogeneity and global environmental implications (Chavez & Ramaswami, 2013; Christis et al., 2019; Moran et al., 2018; Zheng, Meng, et al., 2019).”
• Carbon footprints of cities and other human settlements in the UK (2013, background): “…GHGs as well as embodied GHG emissions associated with all trans-boundary infrastructure supply chains (Ramaswami et al 2008, Hillman and Ramaswami 2010, Chavez and Ramaswami 2011, Ramaswami et al 2011, Chavez et al 2012, Ramaswami et al 2012, Chavez and Ramaswami 2013, Lin et al 2013a, 2013b).”