Measuring tourism with big data? Empirical insights from comparing passive GPS data and passive mobile data

Schmücker, Dirk; Reif, Julian

doi:10.1016/j.annale.2022.100061

Cited by 9 publications

(6 citation statements)

References 42 publications

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“…As was demonstrated, official statistics on tourism have many shortcomings and ambiguities that can be eliminated by new research technologies, such as mobile positioning data. Knowledge of the real-time activities of tourists at a certain location and their spatio-temporal behavior can provide much added value for sustainable tourism policy and destination management [73]. As was highlighted in the introduction of this paper, despite the growing importance of Big Data sources in tourism research, a comprehensive overview of the processing and filtering of mobile positioning data to capture various unobserved forms of tourist movements is by and large missing from the literature.…”

Section: Discussionmentioning

confidence: 99%

Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research

et al. 2022

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Even though tourism (both domestic and international) is one of the main triggering factors of human mobility worldwide, some of its forms are unexplored. This can be partly linked with the lack of reliable data and obstacles related to data processing and interpretation. Mobile Positioning Data (MPD) allows us to identify various forms of tourism that are undetectable through traditional data sources such as accommodation statistics. Using MPD, not only same-day tourists but also the real time mobility patterns of tourists among various destinations can be revealed, and even hidden (i.e., unobserved) forms of tourism can be detected. However, despite the obvious benefits of such data, very few comprehensive studies exist to date on the processing, and interpretation of MPD in tourism research. In this paper, a case study is presented on the challenges and opportunities of processing MPD from raw to good quality researchable data offering a baseline tool for MPD-based research in the field of tourism. With the methodology introduced in this paper, it is possible to provide a more accurate picture of tourist flows regarding unobserved tourists, including same-day visitors.

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Section: Discussionmentioning

confidence: 99%

Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research

et al. 2022

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“…into a digital database in GIS format. The base data is based on Topographic Map scale 1:50000 from the Royal Thai Survey Department, and data from field surveys from measuring and recording the coordinates of cultural attractions with the Global Positioning System (GPS) (Mou et al, 2022;Schmücker and Reif, 2022). Information collected in the field study: community locations, commercial districts, restaurants, religious landmarks, palaces and museums, and government offices.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, it is necessary to apply global positioning systems (GPS) data to collect data today. Schmücker and Reif (2022) collected data for three holiday destinations in Germany, passive mobile data and passive global positioning systems (GPS) data are compared with reference data from the destinations for twelve weeks in the summer of 2019. Liu et al (2022) conducted research on destination planning, marketing, and resource management.…”

Section: Introductionmentioning

confidence: 99%

Cartography for Sustainable Tourism of Cultural Tourism Attractions Around Sawaswareesrimaram Temple, Dusit District, Bangkok

WAIYASUSRI,

KULPANICH,

WORACHAIRUNGREUNG

et al. 2023

GTG

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This research was conducted to develop tourist attractions, especially cultural tourism attractions in the community area around Sawaswareesrimaram Temple, Dusit district, Bangkok. The objective is to develop spatial potential by applying geographic information systems for mapping local communities in location determination, planning, and spatial development. The methodology was obtained from field surveys by recording the coordinates of cultural tourist attractions with Global Positioning System (GPS) and using geographic information systems for mapping. It also adopts the principle of analyzing the density of attractions with Kernel Density. The results reveal that there were 4 types of cultural attractions in Dusit District: Institution, Palace and Museum, Religious places, and Restaurant – Street food. The distribution pattern of most cultural attractions was in the south-western area of the study area, with the density of cultural attractions greater than 1 km2. Cultural attractions in the form of Restaurant and Street food were found to have a very high density in the Sri Yan area, showing a level greater than 1 km2 along Sam Sen road and Nakhon Chai Si road. As for Thewet district, there was a density level of 0.2-0.6 km2, which were all distributions of street food, dense at the intersection of roads. In summary, the mapping can provide local people with a tool for planning cultural sites, to enhance their livelihoods, love and cherish their homeland, and increase their income, leading to future tourism developments.

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“…These include managing visitors through monitoring, tracking, movement data and big visitor data. Examples include GPS tracking, geotagging, scraped platform data, crowd dispersal systems and artificial intelligence (Garcı ´a, Osborne, Kemp, & Woodfine, 2017;Hardy et al, 2017;Schmu ¨cker & Reif, 2022). When managing attractions and periphery, this can include creating alternative routes, promoting places outside the centre and de-seasonalisation.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring visitor flows using mobile positioning data in three Hungarian second-tier cities

Kovács

Smith

Teleubay

et al. 2023

IJTC

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Purpose The research analyses the spatial-temporal behaviour of international visitors using mobile positioning data (MPD) in three second-tier cities in Hungary: Szeged, Debrecen and Pécs. The purpose of this study is to identify the origins of visitors, length of stay, seasonal concentrations and mobility between cities. Design/methodology/approach A large volume of data generated by foreign mobile phone users was processed and analysed for six consecutive months in 2018. The movements of around 3.5 million foreigners visiting Hungary were captured. Findings The data showed significant differences in tourist turnover, mobility patterns and flows indicating different levels of tourism activity and potential in the three cities. This included day trips, cross-border tourism, seasonal fluctuations and activity-driven demand (e.g. special events and cultural tourism). Research limitations/implications MPD cannot fully explain or predict drivers of visitor behaviour, such as purpose of visit, the precise activities that they undertake there and the experiences that they gain. It can, however, provide information on spatial and temporal flows, patterns and concentrations of visitors. Practical implications The investigated cities should follow distinct tourism development policies to attract more tourists and strengthen the links with their neighbouring destinations at the same time as differentiating themselves through marketing as competitive alternative destinations. Social implications Augmenting tourism has socio-economic implications for residents and communities. The development of cultural tourism and local event-based tourism must incorporate community needs. Originality/value The paper analyses the extent to which MPD can provide insights into visitors’ spatio-temporal mobility and flows in relatively under-visited second-tier cities and it highlights opportunities and gaps for big data research in an urban context.

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Measuring tourism with big data? Empirical insights from comparing passive GPS data and passive mobile data

Cited by 9 publications

References 42 publications

Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research

Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research

Cartography for Sustainable Tourism of Cultural Tourism Attractions Around Sawaswareesrimaram Temple, Dusit District, Bangkok

Measuring visitor flows using mobile positioning data in three Hungarian second-tier cities

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