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Exploring shared mobility services beyond the common-sense understanding: a combination of diachronic and spatial analysis based on case studies of Paris and London

机译:探索超越常识的共享出行服务:基于巴黎和伦敦案例研究的历时性和空间分析相结合

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The objective of this paper is to provide a comparative analysis of shared mobility services, with a view to building a bottom-up, yet systematic typology of such services. The underlying research develops an objective, systematic methodology of analysis, based on the one hand on an original set of indicators describing service operations at the city scale and on the other hand on a diachronic analysis of services and public policies in the cities considered. Geospatial data was collected through web scraping method, then geocoded using GIS (Geographic Information System). Our grid of indicators includes characteristics of the territory, general information on the service, as well as physical, geospatial and economic features of the service. For the context analysis, information was collected from a wide range of sources, including academic, governmental (official documentation, websites, open data, and regulations) and professional (both operators and specialised media sources) over a 20-year period for all types of services. This comparative method is applied to two selected cities, namely: Paris (France) and London (United Kingdom). The two territories have been selected because they display similar features when looking at basic indicators such as population, densities, motorisation rates, quality of life and transportation infrastructures (IAU, 2014).
机译:本文的目的是对共享出行服务进行比较分析,以期建立此类服务的自下而上但系统的类型。基础研究开发了一种客观,系统的分析方法,一方面基于描述城市规模服务运营的原始指标集,另一方面基于对所考虑城市的服务和公共政策的历时分析。通过网络抓取方法收集地理空间数据,然后使用GIS(地理信息系统)进行地理编码。我们的指标网格包括地区特征,服务的一般信息以及服务的物理,地理空间和经济特征。为了进行上下文分析,在20年的时间内从各种来源收集了信息,包括各种类型的学术,政府(官方文档,网站,开放数据和法规)和专业人士(运营商和专业媒体来源)服务。此比较方法适用于两个选定的城市,即:巴黎(法国)和伦敦(英国)。之所以选择这两个地区,是因为它们在查看人口,密度,机动化率,生活质量和交通基础设施等基本指标时显示出相似的特征(IAU,2014)。

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