Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach
Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach
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DOI：
10.1016/j.apgeog.2013.05.010
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发表时间：
2013-09-01
影响因子：
4.9
通讯作者：
Salonen, Maria
中科院分区：
文献类型：
--
作者：
Jappinen, Sakari;Toivonen, Tuuli;Salonen, Maria
在许多欧洲城市，支持公共交通和在日常出行中骑自行车被认为是减少空气污染、交通拥堵和碳排放的有效手段。事实证明，在许多城市地区，共享单车系统有效地增加了骑行，尤其是与公共交通结合使用时。在本研究中，我们试图建立一个假设的共享单车系统模型，并量化其对公共交通出行时间的空间影响。研究区域是欧洲发展最快的城市群之一，芬兰的大赫尔辛基地区。我们通过公共交通和共享自行车扩展的公共交通，模拟了人口与赫尔辛基市中心16个重要目的地之间的旅行时间。我们使用内部开发的开放路线和时刻表数据库和工具，通过应用程序编程接口（api）进行广泛的数据挖掘。结果表明：(1)开放的交通信息接口可以为评价城市地区的多模式可达性模式提供一种新的有效手段；(2)自行车共享系统的推出可以使研究区域的公共交通出行时间平均减少10%以上，即每次出行约6分钟。我们的结论是，自行车共享系统与传统公共交通系统相辅相成，可以潜在地提高可持续城市交通模式的竞争力和吸引力，从而帮助城市促进可持续的日常交通。最后，我们强调城市交通信息的开放数据源的可用性，如我们案例中的公共交通数据，对于分析多式联运城市交通模式至关重要。(C) 2013年作者。Elsevier Ltd.出版。版权所有。
In many European cities, support for public transport and cycling in daily mobility is considered an efficient means to reduce air pollution, traffic jams, and carbon emissions. Shared bicycle systems have turned out effective in increasing cycling in many urban areas, particularly when combined with public transportation. In this study, we make an effort to model a hypothetical shared bike system and quantify its spatial effect on public transport travel times. The study area is one of the fastest growing urban agglomerations in Europe, the Greater Helsinki area in Finland. We model the travel times between the population and 16 important destinations in the city centre of Helsinki by public transportation and by public transportation extended with shared bikes. We use open route and timetable databases and tools developed in-house to perform extensive data mining through application programming interfaces (APIs). We show 1) that open transport information interfaces can provide a new effective means to evaluate multimodal accessibility patterns in urban areas and 2) that the launch of a bicycle sharing system could reduce public transportation travel times in the study area on average by more than 10%, meaning some 6 min per each individual trip. We conclude that bicycle sharing systems complementing the traditional public transport system could potentially increase the competitiveness and attractiveness of sustainable modes of urban transport and thus help cities to promote sustainable daily mobility. Finally, we emphasize that the availability of open data sources on urban transport information such as the public transport data in our case - is vital for analysis of multimodal urban mobility patterns. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved.