Impact of digitalization of public transport and city mobility on traffic structure and on-road emissions

Nikolay Netov, B. Lomev
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Abstract

Introducing digital services for urban and intercity mobility significantly influence the travel mode decisions of passengers. In order to analyze the changes in the transport habits of citizens triggered by the digitalization of public transport, we apply the Markov regime-switching model. The proposed approach has ability to indicate and model periods in the considered time series with substantial differences in their statistical characteristics, that makes it especially appropriate for estimation of business model innovation effect. In our case the Jacksonville Transportation Authority vehicle revenue miles negative trend turns to positive in the period after introducing digital services for their passengers. Our results demonstrate that introduction of digital services for passengers makes public transportation more attractive and increase the number of trips that use those transport modes compared to personal car usage. Observed shift of transport habits to lowemission travel modes reduces on-road emissions directly as well as indirectly by reducing congestion and time spent in traffic.
公共交通和城市交通数字化对交通结构和道路排放的影响
城市和城际交通数字化服务的引入显著影响了乘客的出行方式决策。为了分析公共交通数字化引发的市民出行习惯的变化,我们采用了马尔可夫状态切换模型。所提出的方法能够在考虑的时间序列中显示和建模具有统计特征显著差异的时期,这使得它特别适合于商业模式创新效果的估计。在我们的案例中,杰克逊维尔交通管理局在为乘客引入数字服务后,车辆收入里程的负趋势转为正趋势。我们的研究结果表明,与私家车相比,为乘客引入数字服务使公共交通更具吸引力,并增加了使用这些交通方式的旅行次数。观察到的交通习惯向低排放出行方式的转变,通过减少拥堵和在交通上花费的时间,直接或间接地减少了道路上的排放。
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