Exploring Social and Spatial Patterns in Private Vehicle Fuel Efficiency: a case study of Brisbane and Sydney, Australia

Exploring Social and Spatial Patterns in Private Vehicle Fuel Efficiency: a case study of Brisbane and Sydney, Australia
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探索私家车燃油效率的社会和空间模式:澳大利亚布里斯班和悉尼的案例研究

DOI:
10.1080/00049182.2015.1020994
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发表时间:
2015
影响因子:
2.4
通讯作者:
N. Sipe
N. Sipe
中科院分区:
法学3区
文献类型:
--
作者:
Tiebei Li;J. Dodson;N. Sipe

文献摘要

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澳大利亚城市私家车出行持续增长,导致汽车能源消耗和温室气体排放不断增加。虽然许多研究表明车辆需求与城市空间结构有关,但很少有研究调查城市地区私家车燃油效率的空间格局及其与社会空间环境的关系。本研究将国家级机动车登记数据集与标准车辆效率测量相结合,从而全面了解城市地区VFE的空间变化。应用基于空间的技术来探索布里斯班和悉尼私人车辆效率的社会空间条件下的城市内部模式。在这两个城市中,远郊私家车的VFE往往低于中郊和内郊。分析进一步表明,通过将标准车辆效率措施与整个城市车队数据集联系起来,两个城市的VFE结果显示出与社会空间变量的适度关系。建筑环境和家庭经济状况是与不同城市背景下的VFE相关的更具可转移性的因素。这项研究的结果与政策制定者有关,他们负责确定高度易受石油影响的社区,并设计干预策略以提高家用汽车的效率。
ABSTRACT Australian cities have seen continued growth in private car travel that has resulted in increasing vehicle energy consumption and greenhouse gas emissions. While much research has shown that vehicle demand is related to urban spatial structure, very little research has investigated the spatial patterns of private vehicle fuel efficiency (VFE) and its association with socio-spatial circumstances in urban areas. This study has combined State-level motor vehicle registration datasets with standard vehicle efficiency measures that permit a comprehensive understanding of spatial variation of VFE in urban areas. A spatial-based technique was applied to explore intra-urban patterns in socio-spatial conditions of private vehicle efficiency in Brisbane and Sydney. In both cities, the VFE of the private vehicle fleet tends to be lower in outer suburbs than in middle and inner suburbs. The analysis further shows that by linking the standard vehicle efficiency measures to the entire urban fleet datasets the VFE outcome showed a moderate relationship to socio-spatial variables in both cities. The built environment and household economic status are more transferable factors that relate to the VFE across different urban contexts. Outcomes from this research are of relevance to policy makers charged with identifying highly oil-vulnerable communities and designing intervention strategies to improve household vehicle efficiency.