改变交通出行的景象 Transforming the Landscape of Mobility MIC (Mobility in Chain) with Tiziano Cattaneo and Carmelo Ignaccolo 在过去的几十年里，我们经历了人口的指数增长，也反映在机动车总量不断增加的趋势上。根据2018年世界银行的报告，未来30年内路面行驶的车辆总量将增加一倍，在2050年达到20亿辆。如果将西方国家的人均小客车拥有量参数引用到东亚地区，我们将见证世界有史以来最大的机动车化浪潮。基于这个趋势，我们已经可以预见一个前所未有的社会层面、科学技术层面和经济层面上的变革，它将从根本上改变人们和事物的移动方式。
In the last decades, the exponential growth of the population has been mirrored by a restless increase in motorized vehicles. According to the 2018 World Bank report, the number of vehicles on the roads will double in the next 30 years, reaching 2 billion units by 2050. If we extend the western per capita car ownership value to East Asian countries, we can expect the largest wave of motorization ever witnessed by the planet. For this reason, we have to imagine an unprecedented social, technological and economic shift that will fundamentally change the way people and products move.
Thanks to new technology and socio-economic components, we can imagine a systemic change that moves away from the current mobility model and can prevent the already problematic traffic condition from becoming even worse.
More specifically, the new vision will have to address, above all, the extended Shenzhen metropolitan and rural areas of the Guangdong since it is in these territories – characterized by weak and diffused demand – where most vehicle demand is expected for the lack of alternative transport options.
The proposal consists of two main components: the first one looks at the possibility of utilizing driverless technologies supported by A.I. systems, imagining a new generation of electric vehicles that will exploit the road network to become the backbone of a new mobility that will rapidly move away from fixed guided infrastructures. Traditional public transport has proven to be ineffective in low-density developments, as the low and spread demand does not support a frequent service that is also economically sustainable. To better adapt to this kind of environment, the new transport system should dynamically adapt to user demand, providing the flexibility and the coverage of a private vehicle, but by means of a collective and shared mode. Thanks to artificial intelligence, mobility as a service will provide optimized and tailored transportation services and at the same time algorithms will allow to optimize the service and eventually predicting or adapting to user needs in different contexts.
The second component looks at a new generation of vehicles as an opportunity to reconnect the passenger with the external environment rather than isolate him, as per traditional cars. By sensing both the user and the environment, the new generation of cars will enable contact between the user and the outside world, reconciling the passenger with other road users and the surrounding landscape.
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