Environmental assessment of urban mobility: Combining life cycle assessment with land-use and transport interaction modelling-Application to Lyon (France)

被引:22
|
作者
Francois, Cyrille [1 ]
Gondran, Natacha [2 ]
Nicolas, Jean-Pierre [1 ]
Parsons, David [3 ]
机构
[1] Ecole Natl Travaux Publ Etat, Lab Amenagement Econ Transports, UMR CNRS 5593, Rue Maurice Audin, F-69518 Vaulx En Velin, France
[2] Univ Lyon, Ecole Natl Super Mines St Etienne, CNRS, UMR EVS 5600, F-42023 St Etienne, France
[3] Cranfield Univ, Sch Water Energy & Environm, Cranfield MK43 9PB, Beds, England
关键词
Urban mobility; Land Use and Transport Interactions model; Environmental assessment; Life cycle analysis; EMISSIONS; ENERGY;
D O I
10.1016/j.ecolind.2016.07.014
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
In France, greenhouse gas (GHG) emissions from transport have grown steadily since 1950 and transport is now the main source of emissions. Despite technological improvements, urban sprawl increases the environmental stress due to car use. This study evaluates urban mobility through assessments of the transport system and travel habits, by applying life cycle assessment methods to the results of mobility simulations that were produced by a Land Use and Transport Interactions (WTI) model. The environmental impacts of four life cycle phases of urban mobility in the Lyon area (exhausts, fuel processing, infrastructure and vehicle life cycle) were estimated through nine indicators (global warming potential, particulate matter emissions, photochemical oxidant emissions, terrestrial acidification, fossil resource depletion, metal depletion, non-renewable energy use, renewable energy use and land occupancy). GHG emissions were estimated to be 3.02 kg CO2-eq inhabitant(-1) day(-1), strongly linked to car use, and indirect impacts represented 21% of GHG emissions, which is consistent with previous studies. Combining life cycle assessment (LCA) with a LUTI model allows changes in the vehicle mix and fuel sources combined with demographic shifts to be assessed, and provides environmental perspectives for transport policy makers and urban planners. It can also provide detailed analysis, by allowing levels of emissions that are generated by different categories of households to be differentiated, according to their revenue and location. Public policies can then focus more accurately on the emitters and be assessed from both an environmental and social point of view. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:597 / 604
页数:8
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