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城市空中交通补充公共交通的长期应用潜力:以上巴伐利亚州为例。

Long-term application potential of urban air mobility complementing public transport: an upper Bavaria example.

作者信息

Ploetner K O, Al Haddad C, Antoniou C, Frank F, Fu M, Kabel S, Llorca C, Moeckel R, Moreno A T, Pukhova A, Rothfeld R, Shamiyeh M, Straubinger A, Wagner H, Zhang Q

机构信息

Bauhaus Luftfahrt, Taufkirchen, Germany.

Technical University of Munich, Munich, Germany.

出版信息

CEAS Aeronaut J. 2020;11(4):991-1007. doi: 10.1007/s13272-020-00468-5. Epub 2020 Aug 30.

DOI:10.1007/s13272-020-00468-5
PMID:33403052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7456445/
Abstract

In this paper, the required models and methods to analyze and quantify the potential demand for urban air mobility (UAM) complementing public transport and possible impacts were defined and applied to the Munich Metropolitan region. An existing agent-based transport model of the study area were used and extended to cover socio-demographic changes up to the year 2030 and intermodal UAM services. An incremental logit model for UAM was derived to simulate demand for this new mode. An airport access model was developed as well. Three different UAM networks with different numbers of vertiports were defined. Sensitivity studies of ticket fare and structure, flying vehicle cruise speed, passenger process times at vertiports and different Urban Air Mobility networks sizes were performed. For the reference case, UAM accounts for a modal share of 0.5%. The absolute UAM demand is concentrated on very short routes; hence, UAM vehicle flight speed variation shows low UAM demand impacts. Kilometer-based fare, number of UAM vehicles per vertiport and passenger process times at vertiports show a significant impact on UAM demand.

摘要

本文定义了分析和量化城市空中交通(UAM)补充公共交通的潜在需求及可能影响所需的模型和方法,并将其应用于慕尼黑大都市区。使用了研究区域现有的基于主体的交通模型,并对其进行扩展,以涵盖到2030年的社会人口变化和多式联运UAM服务。推导了一个用于UAM的增量逻辑模型,以模拟对这种新模式的需求。还开发了一个机场接入模型。定义了三种不同数量直升机机场的不同UAM网络。进行了机票价格和结构、飞行器巡航速度、直升机机场的乘客处理时间以及不同城市空中交通网络规模的敏感性研究。对于参考案例,UAM的模式份额为0.5%。UAM的绝对需求集中在非常短的路线上;因此,UAM车辆飞行速度变化对UAM需求的影响较小。基于公里的票价、每个直升机机场的UAM车辆数量以及直升机机场的乘客处理时间对UAM需求有显著影响。