Luning Li
Biographic Data
| ID | 3584408 |
|---|---|
| NAME | Luning Li |
| GIVEN NAMES | Luning |
| FAMILY NAME | Li |
| SIGNATURE | LI L |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0003-1626-1902 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Gambling: A Story of Remarkable Stability in Fast-Changing High Streets
High streets, the main commercial streets in towns and cities, have undergone significant transformations due to the evolving urban retail landscape. Despite these changes, this study demonstrates that the presence of gambling venues in Great Britain remained remarkably stable between 2014 and 2023. Using points of interest data, we constructed a panel data set of gambling shops on high streets. Employing simple autoregressive models estimated wi…
Identifying tourism attractiveness based on intra-destination tourist behaviour: Evidence from Wi-Fi data
Knowledge of tourism attractiveness is crucial for tourists to choose preferred destinations and helps tourism managers configure attractive resources to better meet tourist demands. However, small-scale (e.g. intra-destination) studies of tourism attractiveness are scarce, despite their unique significance in understanding tourist demand at the destination level. Based on time geography theory, this study proposes a new method called the stay-ti…
Space–time tourist flow patterns in community-based tourism: An application of the empirical orthogonal function to Wi-Fi data
Community-based tourism is a sustainable form of tourism development where tourists visit residential communities to interact with local lives and cultures for an enhanced travel experience. Identifying and tracking tourist activities in community-based tourism is particularly challenging, as tourists have shared activity spaces with residents. The paper proposes a new method to study the space–time patterns of the tourist flow using Wi-Fi data. …
Pedestrian Flow Prediction in Open Public Places Using Graph Convolutional Network
Open public places, such as pedestrian streets, parks, and squares, are vulnerable when the pedestrians thronged into the sidewalks. The crowd count changes dynamically over time with various external factors, such as surroundings, weekends, and peak hours, so it is essential to predict the accurate and timely crowd count. To address this issue, this study introduces graph convolutional network (GCN), a network-based model, to predict the crowd f…
Towards healthy China 2030: Modeling health care accessibility with patient referral
Pedestrian Flow Prediction in Open Public Places Using Graph Convolutional Network
Open public places, such as pedestrian streets, parks, and squares, are vulnerable when the pedestrians thronged into the sidewalks. The crowd count changes dynamically over time with various external factors, such as surroundings, weekends, and peak hours, so it is essential to predict the accurate and timely crowd count. To address this issue, this study introduces graph convolutional network (GCN), a network-based model, to predict the crowd f…
Towards healthy China 2030: Modeling health care accessibility with patient referral
Space–time tourist flow patterns in community-based tourism: An application of the empirical orthogonal function to Wi-Fi data
Community-based tourism is a sustainable form of tourism development where tourists visit residential communities to interact with local lives and cultures for an enhanced travel experience. Identifying and tracking tourist activities in community-based tourism is particularly challenging, as tourists have shared activity spaces with residents. The paper proposes a new method to study the space–time patterns of the tourist flow using Wi-Fi data. …
Identifying tourism attractiveness based on intra-destination tourist behaviour: Evidence from Wi-Fi data
Knowledge of tourism attractiveness is crucial for tourists to choose preferred destinations and helps tourism managers configure attractive resources to better meet tourist demands. However, small-scale (e.g. intra-destination) studies of tourism attractiveness are scarce, despite their unique significance in understanding tourist demand at the destination level. Based on time geography theory, this study proposes a new method called the stay-ti…
Gambling: A Story of Remarkable Stability in Fast-Changing High Streets
High streets, the main commercial streets in towns and cities, have undergone significant transformations due to the evolving urban retail landscape. Despite these changes, this study demonstrates that the presence of gambling venues in Great Britain remained remarkably stable between 2014 and 2023. Using points of interest data, we constructed a panel data set of gambling shops on high streets. Employing simple autoregressive models estimated wi…
Geography (4 works) · Computer Science (3 works) · Human Mobility and Location-Based Analysis (3 works) · Beijing (2 works) · Business (2 works) · China (2 works) · Diverse Aspects of Tourism Research (2 works) · Tourism (2 works) · Advertising (1 works) · Aesthetics (1 works)