您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。 [国际公共交通协会]:全球城市出行指标:2023年全球53个城市的公共交通指标 - 发现报告

全球城市出行指标:2023年全球53个城市的公共交通指标

报告封面

PUBLIC TRANSPORT METRICSFROM 53 CITIES WORLDWIDE IN 2023 TABLE OF CONTENTS 72DEFINITIONS 3INTRODUCTION 18 CITY FACTSHEETS BENCHMARKING PUBLIC TRANSPORT NETWORK LENGTH7METRO NETWORK LENGTH8LRT NETWORK LENGTH9BRT AND TROLLEYBUS NETWORK LENGTH10PUBLIC TRANSPORT FARE11PUBLIC TRANSPORT RIDERSHIP12METRO RIDERSHIP13LRT RIDERSHIP14METRO AND LRT FLEET15BUS FLEET16BRT AND TROLLEYBUS FLEET17 INTRODUCTION The Global Urban Mobility Indicators project (GUMI)by UITP compiles annual data to present a snapshotof urban mobility in major cities around the globe andallows for a comparative analysis of available servicesand global trends. This report is updated annually usingthe most recent statistics from mobility providersand public sources. The annual reference for all datain this second edition is 2023 (exceptions are clearlymarked). The report consists of two main sections: 1. The Benchmarking sectionincludes 11 visualcharts comparing the cities across the publictransport supply and demand; 2. The City Factsheetsshowcase the full list ofindicators for each city, tailored to the availablemobility services. Compared to the first edition, GUMI 2023 retainsthe same overall structure while introducing severalenhancements. GUMI includes 33 indicators, both quantitative andqualitative.They cover essential operational andinfrastructural metrics for traditional public transportmodes, as well as indicators depicting the sustainableurban mobility landscape. Selected indicators arecollected for 53 cities worldwide. Sevennew cities were added to expand thegeographiccoverage of the project and ensurebroader representation of UITP regions. The set ofindicators has also been refined with more availablemetrics for bus, metro and LRT systems. Demand-Responsive Transit and cableways solutions are nowcaptured for each city. METHODOLOGY The GUMI report is based on desk research, withfigures collected from public sources such as annualreports or official statistical websites. Only when dataare unavailable or not sufficiently clear, additionalinformation are requested to the relevant operatorsand authorities. The list of 33 indicators is based on the experienceof the periodic UITP statistics exercises, where keymetrics are collected to allow comparison acrosscities worldwide in terms of operational aspects,available infrastructure, fleets, and ridership. The quantitative indicators cover seven transportmodes (metro, light-rail and tram, bus, trolleybus,bus rapid transit, paratransit and taxi), although thenumber of indicators assessed per mode differs.In addition, qualitative indicators aim to give anoverview of the urban mobility landscape, looking atthe availability of waterborne services, on-demandand shared mobility services, cableways and digitaltransit services. The 53 cities covered by this report were selectedconsidering •The presence of public transport and urban mobilitysystems;•The availability of online sources and primarycontacts;•The geographical coverage. The list of cities included in the GUMI project doesnot claim to be exhaustive of the global urban mobilitylandscape but aims to represent a selection of majorpublic transport networks worldwide. The intention isto increase the global reach of the report gradually,adding new cities as time goes on. To ensure the comparability of the metrics acrosscities, the absolute values have been normalisedbased on population size or public transport networklength. The “Definitions” section (pg. 72)provides the fulllist of indicators and transportation modes coveredby the report, together with their description. Regarding the definition of a ‘city’, GUMI adopts thedefinition of ‘urban agglomeration’ provided by theUnited Nations, and the related population dataset. AnUrban Agglomeration is considered as“a type of urbansettlement defined by the de facto population containedwithin the contours of a contiguous territory inhabitedat urban density levels without regard to administrativeboundaries. It usually incorporates the population in a cityor town plus that in the suburban areas lying outside of butbeing adjacent to the city boundaries1.” errors in the data may still be present despite best effortsto ensure accuracy. In particular, for road transportation modes, i.e. bus,BRT, and trolleybus multiple organisations often operatedifferent services, sometimes extending beyond the urbanagglomeration. In these cases, the best available sourcewas considered, focusing only on operators runningservices within the urban agglomeration area. SuburbanrailwaysystemsarenotinthescopeoftheGUMIReport. The heterogeneity of suburban rail solutions acrossworldwide regions, in terms of service characteristics,urban coverage, and operational frameworks, requiresa different methodological approach from the presentproject to avoid misleading conclusions. While this solution offers advantages, such as consideringthe number of inhabitants living adjacent to the main cityand using its public