Harnessing social media data to explore urban tourist patterns and the implications for retail location modelling

The tourism landscape in urban destinations has been spatially expanded in recent years due to the increasing prevalence of sharing economy accommodation and other tourism trends. Tourists now mix with locals to form increasingly intricate population geographies within urban neighbourhoods, bringing new demand into areas which are beyond the conventional tourist locations. How these dispersed tourist demands impact local communities has become an emerging issue in both urban and tourism studies. However, progress has been hampered by the lack of fine granular travel data which can be used for understanding urban tourist patterns at the small-area level. Paying special attention to tourist grocery demand in urban destinations, the thesis takes London as the example to present the various sources of LBSN datasets that can be used as valuable supplements to conventional surveys and statistics to produce novel tourist population estimates and new tourist grocery demand layers at the small area level. First, the work examines the potential of Weibo check-in data in London for offering greater insights into the spatial travel patterns of urban tourists from China. Then, AirDNA and Twitter datasets are used in conjunction with tourism surveys and statistics in London to model the small area tourist population maps of different tourist types and generate tourist demand estimates. Finally, Foursquare datasets are utilised to inform tourist grocery travel behaviour and help to calibrate the retail location model. The tourist travel patterns extracted from various LBSN data, at both individual and collective levels, offer tremendous value to assist the construction and calibration of spatial modelling techniques. In this case, the emphasis is on improving retail location spatial Interaction Models (SIMs) within grocery retailing. These models have seen much recent work to add non-residential demand, but demand from urban tourism has yet to be included. The additional tourist demand layer generated in this thesis is incorporated into a new custom-built SIM to assess the impacts of urban tourism on the local grocery sector and support current store operations and trading potential evaluations of future investments

Parsing Perceptions of Place: Locative and Textual Representations of Place Émilie-Gamelin on Twitter

We increasingly engage in geographies mediated by social media, which is changing how we experience and produce places. This raises questions about how ‘place’ is conceived and received in networked virtual spaces. Place has remained difficult to grasp in both geography and communications studies that utilize social media data. To attend to this, I first develop a conceptual framework that bridges the phenomenology of spatiality with the communication of place. I then present a case study of Place Émilie-Gamelin in Montreal: a plaza located atop the city’s busiest transit hub. Despite its geographic centrality, it is a liminal space appropriated by marginalized groups and contentious political movements. Since 2015, it has been subject to a city-led revitalization program with intentions of attracting party-goers and tourists. Using a communications geography framework, I collected a year’s worth of tweets, first, employing a filter to capture georeferenced tweets in and around the study site, and second, using the site’s toponyms to retrieve tweets through textual queries. To understand these representations, I coded them by relevance, theme and communicative function. Results showed a place evolving in scope, name and meaning, reflecting diverging flows and uses. I found that there were more textual connotations of the study site than there were geotweets, and that the former were more diverse in their representation of place. The thesis demonstrates how promotional content on Twitter should be more critically analyzed in concert with expressive and descriptive tweets and geotweets, and that this implies spatial ontologies and data collection methods that consider a place on social media as a discursive construction. This is especially so since Twitter has become increasingly ‘platial’ through internal changes and its entwinement with other social media platforms: changes which require consideration in all Twitter-based spatial and textual analyses. The study provides an updated perspective on Twitter’s use in the spatial humanities, GIScience and geography and contributes to those interested in applying more nuanced cartographies of places

Parsing Perceptions of Place: Locative and Textual Representations of Place Émilie-Gamelin on Twitter

We increasingly engage in geographies mediated by social media, which is changing how we experience and produce places. This raises questions about how ‘place’ is conceived and received in networked virtual spaces. Place has remained difficult to grasp in both geography and communications studies that utilize social media data. To attend to this, I first develop a conceptual framework that bridges the phenomenology of spatiality with the communication of place. I then present a case study of Place Émilie-Gamelin in Montreal: a plaza located atop the city’s busiest transit hub. Despite its geographic centrality, it is a liminal space appropriated by marginalized groups and contentious political movements. Since 2015, it has been subject to a city-led revitalization program with intentions of attracting party-goers and tourists. Using a communications geography framework, I collected a year’s worth of tweets, first, employing a filter to capture georeferenced tweets in and around the study site, and second, using the site’s toponyms to retrieve tweets through textual queries. To understand these representations, I coded them by relevance, theme and communicative function. Results showed a place evolving in scope, name and meaning, reflecting diverging flows and uses. I found that there were more textual connotations of the study site than there were geotweets, and that the former were more diverse in their representation of place. The thesis demonstrates how promotional content on Twitter should be more critically analyzed in concert with expressive and descriptive tweets and geotweets, and that this implies spatial ontologies and data collection methods that consider a place on social media as a discursive construction. This is especially so since Twitter has become increasingly ‘platial’ through internal changes and its entwinement with other social media platforms: changes which require consideration in all Twitter-based spatial and textual analyses. The study provides an updated perspective on Twitter’s use in the spatial humanities, GIScience and geography and contributes to those interested in applying more nuanced cartographies of places

LIPIcs, Volume 277, GIScience 2023, Complete Volume

LIPIcs, Volume 277, GIScience 2023, Complete Volum

Abstraction and cartographic generalization of geographic user-generated content: use-case motivated investigations for mobile users

On a daily basis, a conventional internet user queries different internet services (available on different platforms) to gather information and make decisions. In most cases, knowingly or not, this user consumes data that has been generated by other internet users about his/her topic of interest (e.g. an ideal holiday destination with a family traveling by a van for 10 days). Commercial service providers, such as search engines, travel booking websites, video-on-demand providers, food takeaway mobile apps and the like, have found it useful to rely on the data provided by other users who have commonalities with the querying user. Examples of commonalities are demography, location, interests, internet address, etc. This process has been in practice for more than a decade and helps the service providers to tailor their results based on the collective experience of the contributors. There has been also interest in the different research communities (including GIScience) to analyze and understand the data generated by internet users. The research focus of this thesis is on finding answers for real-world problems in which a user interacts with geographic information. The interactions can be in the form of exploration, querying, zooming and panning, to name but a few. We have aimed our research at investigating the potential of using geographic user-generated content to provide new ways of preparing and visualizing these data. Based on different scenarios that fulfill user needs, we have investigated the potential of finding new visual methods relevant to each scenario. The methods proposed are mainly based on pre-processing and analyzing data that has been offered by data providers (both commercial and non-profit organizations). But in all cases, the contribution of the data was done by ordinary internet users in an active way (compared to passive data collections done by sensors). The main contributions of this thesis are the proposals for new ways of abstracting geographic information based on user-generated content contributions. Addressing different use-case scenarios and based on different input parameters, data granularities and evidently geographic scales, we have provided proposals for contemporary users (with a focus on the users of location-based services, or LBS). The findings are based on different methods such as semantic analysis, density analysis and data enrichment. In the case of realization of the findings of this dissertation, LBS users will benefit from the findings by being able to explore large amounts of geographic information in more abstract and aggregated ways and get their results based on the contributions of other users. The research outcomes can be classified in the intersection between cartography, LBS and GIScience. Based on our first use case we have proposed the inclusion of an extended semantic measure directly in the classic map generalization process. In our second use case we have focused on simplifying geographic data depiction by reducing the amount of information using a density-triggered method. And finally, the third use case was focused on summarizing and visually representing relatively large amounts of information by depicting geographic objects matched to the salient topics emerged from the data

Privacy-preserving human mobility and activity modelling

The exponential proliferation of digital trends and worldwide responses to the COVID-19 pandemic thrust the world into digitalization and interconnectedness, pushing increasingly new technologies/devices/applications into the market. More and more intimate data of users are collected for positive analysis purposes of improving living well-being but shared with/without the user's consent, emphasizing the importance of making human mobility and activity models inclusive, private, and fair. In this thesis, I develop and implement advanced methods/algorithms to model human mobility and activity in terms of temporal-context dynamics, multi-occupancy impacts, privacy protection, and fair analysis. The following research questions have been thoroughly investigated: i) whether the temporal information integrated into the deep learning networks can improve the prediction accuracy in both predicting the next activity and its timing; ii) how is the trade-off between cost and performance when optimizing the sensor network for multiple-occupancy smart homes; iii) whether the malicious purposes such as user re-identification in human mobility modelling could be mitigated by adversarial learning; iv) whether the fairness implications of mobility models and whether privacy-preserving techniques perform equally for different groups of users. To answer these research questions, I develop different architectures to model human activity and mobility. I first clarify the temporal-context dynamics in human activity modelling and achieve better prediction accuracy by appropriately using the temporal information. I then design a framework MoSen to simulate the interaction dynamics among residents and intelligent environments and generate an effective sensor network strategy. To relieve users' privacy concerns, I design Mo-PAE and show that the privacy of mobility traces attains decent protection at the marginal utility cost. Last but not least, I investigate the relations between fairness and privacy and conclude that while the privacy-aware model guarantees group fairness, it violates the individual fairness criteria.Open Acces

Geoinformatics in Citizen Science

The book features contributions that report original research in the theoretical, technological, and social aspects of geoinformation methods, as applied to supporting citizen science. Specifically, the book focuses on the technological aspects of the field and their application toward the recruitment of volunteers and the collection, management, and analysis of geotagged information to support volunteer involvement in scientific projects. Internationally renowned research groups share research in three areas: First, the key methods of geoinformatics within citizen science initiatives to support scientists in discovering new knowledge in specific application domains or in performing relevant activities, such as reliable geodata filtering, management, analysis, synthesis, sharing, and visualization; second, the critical aspects of citizen science initiatives that call for emerging or novel approaches of geoinformatics to acquire and handle geoinformation; and third, novel geoinformatics research that could serve in support of citizen science

12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK

No abstract available

Business and non-profit organizations facing increased competition and growing customers' demands

Klasyfikacja tematyczna: Dynamika gospodarki \u15bwiatowej i narodowej. Rozw\uf3j gospodarczy; Teoria i psychologia organizacji; Metody zarz\u105dzani

Business and non-profit organizations facing increased competition and growing customers' demands

Klasyfikacja tematyczna: Dynamika gospodarki \u15bwiatowej i narodowej. Rozw\uf3j gospodarczy; Teoria i psychologia organizacji; Metody zarz\u105dzani