首页> 外文会议>2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management >Understanding of Determinants of Household Vehicle Ownership Level toward Urban Sustainable Transportation in Southeast Asia – A Case Study in Metro Manila
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Understanding of Determinants of Household Vehicle Ownership Level toward Urban Sustainable Transportation in Southeast Asia – A Case Study in Metro Manila

机译:理解家用车辆拥有量水平对东南亚城市可持续交通的决定因素-以马尼拉大都会为例

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Southeast Asia is one of the world's fastest growing economic regions. Many metropolitan areas meanwhile have suffered from unsustainable transportation system, mainly owning to exploding private vehicle dependency. The prerequisite of designing policy having a negative impact on car dependency is to ascertain determinants of household vehicle ownership level. This study aims to investigate the impact of socio-economic characteristics and urban structure factors on a number of vehicles owned by households in Metro Manila at the disaggregate level, using the Multinomial Logit (MNL) regression. The empirical findings highlight that households getting higher accessibility to railway stations are less car-dependent, while households living close to a central business district (CBD) are likely to own more vehicles. Another finding indicates that households residing in the high-density area have the highest propensity to hold more vehicles, contrary to existing studies conducted in developed countries. For scenario analysis, improvement of accessibility of residential areas to railway stations throughout the metropolis would have reduced vehicle fleet, energy demand, and CO2 emissions by about 50% if it had been introduced earlier.
机译:东南亚是世界上增长最快的经济区之一。与此同时,许多大都市地区遭受了不可持续的交通运输系统的困扰,这主要归因于对私人车辆依赖性的爆发。设计对汽车依赖度有负面影响的政策的前提是确定家用汽车拥有量水平的决定因素。这项研究旨在使用多元Logit回归(MNL)回归研究马尼拉大都会地区的社会经济特征和城市结构因素对许多家庭拥有的车辆的影响。实证研究结果表明,进入火车站交通便利的家庭对汽车的依赖性较小,而居住在中央商务区(CBD)附近的家庭可能拥有更多的车辆。另一个发现表明,与发达国家进行的现有研究相反,居住在高密度区域的家庭拥有更多车辆的倾向最高。对于方案分析,改善居住区到整个大都市火车站的可访问性将减少车辆数量,能源需求和CO \ n 2 \ n排放量(如果之前已引入)约为50%。

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