Transport Accessibility of Warsaw: A Case Study

Mościcka, Albina; Pokonieczny, Krzysztof; Wilbik, Anna; Wabínski, Jakub

doi:10.3390/su11195536

Cited by 16 publications

(11 citation statements)

References 34 publications

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“…This study contributed significantly to assessing the suitability of GHS-POP data for use, demonstrating their high compliance with census data, and thus high suitability for many applications at local and regional levels [65]. This study could serve as a quality reference for potential users and producers of population density datasets.…”

Section: Discussionmentioning

confidence: 86%

GHS-POP Accuracy Assessment: Poland and Portugal Case Study

Całka¹,

Bielecka²

2020

Remote Sensing

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The Global Human Settlement Population Grid (GHS-POP) the latest released global gridded population dataset based on remotely sensed data and developed by the EU Joint Research Centre, depicts the distribution and density of the total population as the number of people per grid cell. This study aims to assess the GHS-POP data accuracy based on root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) and the correlation coefficient. The study was conducted for Poland and Portugal, countries characterized by different population distribution as well as two spatial resolutions of 250 m and 1 km on the GHS-POP. The main findings show that as the size of administrative zones decreases (from NUTS (Nomenclature of Territorial Units for Statistics) to LAU (local administrative unit)) and the size of the GHS-POP increases, the difference between the population counts reported by the European Statistical Office and estimated by the GHS-POP algorithm becomes larger. At the national level, MAPE ranges from 1.8% to 4.5% for the 250 m and 1 km resolutions of GHS-POP data in Portugal and 1.5% to 1.6%, respectively in Poland. At the local level, however, the error rates range from 4.5% to 5.8% in Poland, for 250 m and 1 km, and 5.7% to 11.6% in Portugal, respectively. Moreover, the results show that for densely populated regions the GHS-POP underestimates the population number, while for thinly populated regions it overestimates. The conclusions of this study are expected to serve as a quality reference for potential users and producers of population density datasets.

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Section: Discussionmentioning

confidence: 86%

GHS-POP Accuracy Assessment: Poland and Portugal Case Study

Całka¹,

Bielecka²

2020

Remote Sensing

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“…In the case of our research, we processed a synthesis for four attributes of transport accessibility (lines, directions, connections and walking time). Many authors, among others (Zhu, et al, 2006), (Ušpalytė, et al, 2020), (Mościcka, et al, 2019) or (Mavoa, et al, 2012) approach the issue of accessibility of urban transport from a broad point of view of many socio-economic sectors and thus attempt to make the use of multi-criteria analysis as complex as possible. In comparison with the above studies, our work focused more closely on the geographical concept of accessibility with particular emphasis on the possibility of logical connection of essential attributes of the transport network with time accessibility.…”

Section: Discussionmentioning

confidence: 99%

Multicriterial analysis of the accessibility of public transport stops in Cracow

Bárta¹,

Masopust²

2020

PKG

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This study deals with the synthesis of selected attributes of public transport accessibility. The aim is to present a new method of multi-criteria analysis. As the research area, the city of Cracow has been chosen. The GTFS (General Transit Feed Specification) system has been used to obtain traffic data for buses and trams within the city‘s transport company (MPK Krakow). The analysis itself consists of 4 main accessibility indicators (walking time to each stop, number of lines, directions, and connections from each stop). The problem of exceeding the stops accessibility beyond the administrative border of Cracow has been solved by using a 500 m wide buffer zone around the city. To connect the individual layers of indicators into a multicriteria analysis, the Voronoi diagram function has been applied. The results of the method are presented in the form of synthetic maps of transport accessibility for each bus and tram stop in Cracow. Together with the synthetic accessibility maps, an index of a stop importance has been created as well, which consists of the sum of the mean percentages from 3 indicators (number of lines, directions, connections). The synthetic method used and acquired detailed values not only for the city of Cracow as a whole, but also its individual parts make it possible to provide a comprehensive picture of accessibility by public transport. This multicriteria analysis can also be extended for a comparative study of selected cities.

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“…GIS are fundamental to visualize the impact of transport solutions in terms of accessibility, and there is a growing literature on transport studies related to this topic [7,8,[35][36][37][38]. Recent studies propose an evaluation of accessibility with the use of real-time data (e.g., travel time, speed) and large-scale GPS data [39,40], showing the potential to assess the relation between supply and users experience also during the trip. There are several types of accessibility indexes and studies developed by scholars [35,[41][42][43].…”

Section: Service Accessibilitymentioning

confidence: 99%

Linking Public Transport User Satisfaction with Service Accessibility for Sustainable Mobility Planning

Inturri

Giuffrida

Pira

et al. 2021

IJGI

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Increasing the Quality of Service (QoS) of Public Transport (PT), in order to attract more users, is one of the goals of transport companies and urban policy-makers. A continuous monitoring of data on users’ satisfaction is desirable, but most of the time such process is costly. Finding correlations between PT accessibility, user satisfaction and PT ridership might be the key to prioritize where and how service quality improvements have to be put in place. The aim of this paper is to investigate the correlation among PT use, user satisfaction and PT accessibility using a spatial and statistical approach to find useful and simple indicators for sustainable mobility planning. The case study is Catania, a medium-sized city located in southern Italy, with a focus on the mobility of University students. In this respect, students experienced fare-free PT from 2018 to 2020 as one of the main results of collaboration between the University and the two urban PT operators, providing free access to bus and metro transport services in the city. Student satisfaction and relevant data regarding their mobility behavior were constantly monitored via a web survey: the analysis conducted in this study is based on a database of about 4000 responses collected between 2018 and 2019. Spatial and statistical correlations between user satisfaction, transit ridership and accessibility will provide useful information for a correct planning and management of PT networks by transport companies, highlighting diverse insights for different PT options.

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Transport Accessibility of Warsaw: A Case Study

Cited by 16 publications

References 34 publications

GHS-POP Accuracy Assessment: Poland and Portugal Case Study

GHS-POP Accuracy Assessment: Poland and Portugal Case Study

Multicriterial analysis of the accessibility of public transport stops in Cracow

Linking Public Transport User Satisfaction with Service Accessibility for Sustainable Mobility Planning

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