Corneel Casier
Biographic Data
| ID | 6002483 |
|---|---|
| NAME | Corneel Casier |
| GIVEN NAMES | Corneel |
| FAMILY NAME | Casier |
| SIGNATURE | CASIER C |
| AFFILIATIONS | Department of Geography Ghent University Gent Belgium |
| ORCID | 0000-0002-7737-9237 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Using Social Media Data to Construct an Agent-Based Model in a Data-Scarce Environment
In the transport and mobility sectors, agent-based models (ABMs) are known for their effectiveness in simulating complex scenarios; in data-scarce environments like the Global South, mobility data are fragmented or inaccessible, making ABM difficult to implement. To overcome these challenges, this article suggests employing open data sources like OpenStreetMap (OSM) and social media platforms (Meta). It presents a methodology incorporating social…
Street Experiments and Covid ‐19
Cities have introduced street experiments, among others, in order to cope with the urgent health challenges caused by the COVID‐19 pandemic. They are primarily intended to allow people to move safely in urban spaces according to physical distancing requirements. It has been suggested that street experiments have the potential to not only respond to pressing needs, but to also trigger systemic change in mobility. This paper explores urban case stu…
Street Experiments and Covid ‐19
Cities have introduced street experiments, among others, in order to cope with the urgent health challenges caused by the COVID‐19 pandemic. They are primarily intended to allow people to move safely in urban spaces according to physical distancing requirements. It has been suggested that street experiments have the potential to not only respond to pressing needs, but to also trigger systemic change in mobility. This paper explores urban case stu…
Street Experiments and Covid ‐19
Cities have introduced street experiments, among others, in order to cope with the urgent health challenges caused by the COVID‐19 pandemic. They are primarily intended to allow people to move safely in urban spaces according to physical distancing requirements. It has been suggested that street experiments have the potential to not only respond to pressing needs, but to also trigger systemic change in mobility. This paper explores urban case stu…
Using Social Media Data to Construct an Agent-Based Model in a Data-Scarce Environment
In the transport and mobility sectors, agent-based models (ABMs) are known for their effectiveness in simulating complex scenarios; in data-scarce environments like the Global South, mobility data are fragmented or inaccessible, making ABM difficult to implement. To overcome these challenges, this article suggests employing open data sources like OpenStreetMap (OSM) and social media platforms (Meta). It presents a methodology incorporating social…
Big data (1 work) · Business (1 work) · Computational sociology (1 work) · Construct (python library (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 epidemiological studies (1 work) · Data collection (1 work) · Distancing (1 work) · Embeddedness (1 work) · Engineering (1 work)