Profiling tourists' use of public transport through smart travel card data

Gutiérrez, Aaron; Domènech, Antoni; Zaragozí, Benito; Miravet, Daniel

doi:10.1016/j.jtrangeo.2020.102820

Cited by 32 publications

(25 citation statements)

References 33 publications

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“…Each of the four key points previously mentioned could be revisited by incorporating the potentialities that this source of data offers for particular research areas, for example, in tourism studies [14]. First, traditional surveys tend to be focused on the daily mobility of the resident population, and the mobilities of visitors during their stay are usually underrepresented or ignored.…”

Section: Key Concepts and Principlesmentioning

confidence: 99%

“…However, as a secondary objective of this case study, a data mining analysis and some data reports were produced. This case study develops the methodology applied in a recent study [14], so that only a brief geographical context and brief problem description are presented below.…”

Section: Case Study: the Territorial Mobility Authority Of Camp De Tarragonamentioning

confidence: 99%

“…They are not using a smart travel card, and it is not possible to develop any longitudinal analysis of their mobility patterns. These decisions have been explained in depth in [14].…”

Section: Case Study: the Territorial Mobility Authority Of Camp De Tarragonamentioning

confidence: 99%

“…After a SQL filtering process, the data to be analysed included 37,054 different smart travel cards which made 685,294 transactions. These data can be considered a reliable representation of the set of tourists and visitors that mostly contribute to the aforementioned supply-demand decompensation (between the winter and summer seasons) [14]. Figure 6 shows the spatial distribution of these transactions.…”

Section: Mining Public Transport Users Activity Patternsmentioning

confidence: 99%

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Development of a Common Framework for Analysing Public Transport Smart Card Data

et al. 2021

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The data generated in public transport systems have proven to be of great importance in improving knowledge of public transport systems, being very valuable in promoting the sustainability of public transport through rational management. However, the analysis of this data involves numerous tasks, so that when the value of analysing the data is finally verified, the effort has already been very great. The management and analysis of the collected data face some difficulties. This is the case of the data collected by the current automated fare collection systems. These systems do not follow any open standards and are not usually designed with a multipurpose nature, so they do not facilitate the data analysis workflow (i.e. acquisition, storage, quality control, integration and quantitative analysis). Intending to reduce this workload, we propose a conceptual framework for analysing data from automated fare collection systems in mobility studies. The main components of this framework are (1) a simple data model, (2) scripts for creating and querying the database and (3) a system for reusing the most useful queries. This framework has been tested in a real public transport consortium in a Spanish region shaped by tourism. The outcomes of this research work could be reused and applied, with a lower initial effort, in other areas that have data recorded by an automated fare collection system but are not sure if it is worth investing in exploiting the data. After this experience, we consider that, even with the legal limitations applicable to the analysis of this type of data, the use of open standards by automated fare collection systems would facilitate the use of this type of data to its full potential. Meanwhile, the use of a common framework may be enough to start analysing the data.

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Section: Key Concepts and Principlesmentioning

confidence: 99%

Section: Case Study: the Territorial Mobility Authority Of Camp De Tarragonamentioning

confidence: 99%

“…They are not using a smart travel card, and it is not possible to develop any longitudinal analysis of their mobility patterns. These decisions have been explained in depth in [14].…”

Section: Case Study: the Territorial Mobility Authority Of Camp De Tarragonamentioning

confidence: 99%

Section: Mining Public Transport Users Activity Patternsmentioning

confidence: 99%

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Development of a Common Framework for Analysing Public Transport Smart Card Data

et al. 2021

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“…The adoption of the contactless travel smart card has become increasingly common application, covering almost all modes of transportation and creating an integrated public transportation system in many countries; smart cards are known as city cards. Nowadays, it is common to come across a specific type of city cards in which subscriptions to cultural and social activities are also covered in addition to the transportation services [4]. Thus, passenger profiles recorded into databases are being used as a valuable sources of information for different types of studies such as behavioral analysis, geodemographic analysis, advertisement customizations, and schedule optimization studies [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Integrated SWARA-WASPAS Group Decision Making Framework to Evaluate Smart Card Systems for Public Transportation

Baç

2020

Mathematics

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Recent technological developments affect daily life as much as they affect the industries. As part of these developments, automation and smart systems are important part of everyday life. Smart card systems are one of the well-known types of smart automation technology being used by the majority of the population in public transportation in most developed countries. Even though automated fare payment systems have been widely integrated into public transportation in developed countries, integration of smart card systems is still under consideration in most developing countries. The aim of this study is to propose a framework to evaluate different smart card systems to determine the best one and additionally validate their benefits when compared with the traditional fare payment system. For this purpose, an integrated multi-criteria decision making (MCDM) framework is used that combines two recent and popular methodologies together. The proposed methodology employs Stepwise Weight Assessment Ratio Analysis (SWARA) method for determination of criteria weights in the decision model and the Weighted Additive Sum Product Assessment (WASPAS) method for comparison of alternatives. Research results revealed that all smart card systems show improvements under performance, reliability, and user satisfaction related criteria. However, traditional fare payment systems are found to be safer under consideration of personal data protection. Findings of this study can be used to select the best smart card system and as a guide for deciding on areas of improvement during the implementation phase to ensure higher user satisfaction.

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Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries

Zaragozí

Gutiérrez

Trilles

2021

Communications in Computer and Information Science

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Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies.

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Profiling tourists' use of public transport through smart travel card data

Cited by 32 publications

References 33 publications

Development of a Common Framework for Analysing Public Transport Smart Card Data

Development of a Common Framework for Analysing Public Transport Smart Card Data

An Integrated SWARA-WASPAS Group Decision Making Framework to Evaluate Smart Card Systems for Public Transportation

Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries

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