Intelligent transportation systems design based on mass customization
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ORIGINAL RESEARCH
Intelligent transportation systems design based on mass customization Yang Xu1,2 · Binglu Wang3 · Shuwen Liu4 · Yi Bu5 · Jun Wang2 · Ruijun Liu2 Received: 1 April 2020 / Accepted: 3 November 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In this era characterized by fast development of urbanization, public transportation problem is one of the main obstacles for people to promote their life satisfaction in China. This paper aims at discussing problems on mass customization public transportation, providing suggestions and consults for its sustainable development and improvement. A mass customization model for public transportation is constructed based on client requirement and cost analysis, and case studies are made to validate route planning results. Results show that mass customization public transportation can make high profit for bus companies and relieve traffic congestion and air contamination. Keywords Mass Customization · Public transportation · City development · Route planning · Willingness to pay
1 Background Many cities in developing countries such as China and India often employ centralization strategies in their developing process, which makes urban center a compound of political, commercial, cultural, and medical function hubs, for example, Beijing, the capital city of China. The aggregate effect of such complex cities is prominent and also leads several severe transportation issues, such as traffic congestion, vehicle emissions, and so forth (Jou and Chen 2014; Darmoul and Elkosantini 2014; Wang et al. 2015). These also lead to much loss both explicitly and implicitly without sufficiently evaluated in various aspects (Liu et al. 2017; Litman 2017). However, in the current era characterized by a * Ruijun Liu [email protected] 1
Department of Information Management, Peking University, Peking, China
2
Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
3
Kellogg School of Management, Northwestern University, Evanston, USA
4
Department of Computer Science, University of Oxford, Oxford, UK
5
School of Informatics and Computing, Indiana University, Bloomington, USA
large number of social cooperation (Liu et al. 2016) and the fast development of social networking, the depth and breadth of cooperation between the different populations continue to increase. Meanwhile, two common urbanization types, centralized urbanization and diffusion urbanization, eagerly require the increasing of the level of urban traffic (Henderson 2003). Therefore, people’s demand on traffic is growing greatly (Wan et al. 2013). Under such circumstances, many people began to reserve taxis or special sedans via Internet or specific mobile applications (platforms), such as Uber and Didi, with an acceptable price. However, these platforms appeal a large number of populations and vehicles from other cities and thus aggravate the pressure of traffic jam and social environment. Hence, several
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