智慧城市中的智慧停车管理:成本与收益

R. Mangiaracina, A. Tumino, G. Miragliotta, G. Salvadori
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引用次数: 11

摘要

今天,城市产生了超过75%的垃圾,80%的排放和75%的能源利用。就欧洲而言,道路运输产生的二氧化碳排放量约占总排放量的20%,其中40%来自城市交通。据估计,在市区,每天30%的交通拥堵都是由四处寻找免费停车位的车辆造成的。在本文中,我们试图通过模拟和评估模型来展示ITS如何影响城市停车管理,同时考虑到人员和货物运输,并量化可以获得的经济和社会效益。虽然以前的作者已经研究了一些好处(例如,在减少寻找免费停车位的时间方面),但仍然普遍缺乏能够评估ITS技术对城市停车影响的定量模型。在这方面,本文的一个独特贡献是将人和货物运输方式结合在一个模型中。首先,我们开发了一个模型来模拟采用智能停车解决方案前后的城市停车系统。仿真模型的输出是轿车和货车司机寻找免费停车位所需时间减少的百分比。然后,这个百分比被用来评估米兰市(意大利)智能停车应用程序的经济和社会效益,在这个应用程序中,“付费和显示”停车位配备了传感器,能够沟通空间是否空闲。分析考虑了两个角度:一方面是停车运营商公司,由于不停车付费的人减少,可以增加其收入。另一方面,城市用户(即市民,游客,校外学生等)可以减少寻找免费停车位的时间,从而减少燃料消耗和二氧化碳排放。结果表明,这些技术将帮助每位驾驶员每年平均节省77.2小时,节省86.5欧元的燃料成本,整个米兰市每年可减少二氧化碳排放量44,470吨(米兰地区每年道路交通产生的二氧化碳总量为4,14.4万吨)。此外,这些技术还帮助这家停车运营商公司每年增加约900万欧元的总收入。如果考虑到实施智能停车解决方案所需的成本,停车运营商的贴现投资回收期低于2年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart parking management in a smart city: Costs and benefits
Today cities are responsible for more than 75% of waste production, 80% of emissions, and 75% of energy utilization. With regard to Europe, road transportation produces about 20% of the total CO2 emissions, out of which 40% is generated by urban mobility. It is estimated that vehicles cruising for free parking spaces cause 30% of the daily traffic congestion in an urban downtown area. In this article we attempt to show, through a simulation and an assessment model, how ITS may impact on urban parking management considering both people and freight transportation, and quantified the economic and social benefits which can be obtained. Although some benefits have been already examined by previous authors (e.g. in terms of reduction of time spent in searching a free parking spot), there is still a general lack of quantitative models able to assess the impacts of ITS technologies for urban parking. In this regard, one distinctive contribution of this article is that it combines people and freight transportation modes in a single model. First, we developed a model in order to simulate the urban parking system before and after the adoption of the Smart Parking solution. The output of the simulation model consists in the percentage reduction of the time spent by drivers of cars and vans in searching a free parking spot. Then, this percentage has been used to assess the economic and social benefits of a Smart Parking application in the City of Milan (Italy), in which the “pay and display” parking spots are provided with sensors able to communicate if the space is free or not. The analysis considers two perspectives: on the one hand the parking operator company, which can increase its revenue due to the reduction of people that do not pay for parking. On the other hand, the city-users (i.e. citizens, tourists, off-site students, etc.), who can reduce the time spent for searching a free parking spot, thus reducing fuel consumption and CO2 emissions. The results obtained showed that these technologies would help each driver to save an average of 77.2 hours every year, 86.5 euros in fuel costs, and the entire city of Milan could reduce CO2 emissions by 44,470 tons per year (out of a total of 4,144,000 tons annually produced by road traffic in the area of Milan). In addition, these technologies help the parking operator company in improving the total revenue of around 9 million euros per year. If considering the required costs to implement the Smart Parking solution, the Discounted Payback Period for the parking operator is lower than 2 years.
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