Roberto Murcio
Biographic Data
| ID | 8323695 |
|---|---|
| NAME | Roberto Murcio |
| GIVEN NAMES | Roberto |
| FAMILY NAME | Murcio |
| SIGNATURE | MURCIO R |
| AFFILIATIONS | University College London |
| ORCID | 0000-0002-0674-0363 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The influence of passenger rail interventions in London on relative deprivation in affected station catchment areas
This paper investigates the relationship between passenger rail interventions in Greater London and deprivation indices in affected station catchment areas. Interventions were selected for study only if they were associated with a significant change in jobs accessibility. It makes use of the difference-in-difference (DiD) research technique to test if these interventions have been associated with improvements in the Index of Multiple Deprivation …
Graph Representation Learning on Street Networks
Street networks provide an invaluable source of information about the different temporal and spatial patterns emerging in our cities. These streets are often represented as graphs where intersections are modeled as nodes and streets as edges between them. Previous work has shown that raster representations of the original data can be created through a learning algorithm on low-dimensional representations of the street networks. In contrast, model…
Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas
The UK retail landscape has undergone significant changes over the past decade, driven by factors such as the rise of online shopping, economic downturns, and, more recently, the COVID-19 pandemic. Accurately measuring pedestrian flows in retail areas with high spatial and temporal resolution is essential for selecting the most appropriate forecasting model for different retail locations. However, several studies have adopted a one-size-fits-all …
No prominent works on this page.
Graph Representation Learning on Street Networks
Street networks provide an invaluable source of information about the different temporal and spatial patterns emerging in our cities. These streets are often represented as graphs where intersections are modeled as nodes and streets as edges between them. Previous work has shown that raster representations of the original data can be created through a learning algorithm on low-dimensional representations of the street networks. In contrast, model…
Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas
The UK retail landscape has undergone significant changes over the past decade, driven by factors such as the rise of online shopping, economic downturns, and, more recently, the COVID-19 pandemic. Accurately measuring pedestrian flows in retail areas with high spatial and temporal resolution is essential for selecting the most appropriate forecasting model for different retail locations. However, several studies have adopted a one-size-fits-all …
The influence of passenger rail interventions in London on relative deprivation in affected station catchment areas
This paper investigates the relationship between passenger rail interventions in Greater London and deprivation indices in affected station catchment areas. Interventions were selected for study only if they were associated with a significant change in jobs accessibility. It makes use of the difference-in-difference (DiD) research technique to test if these interventions have been associated with improvements in the Index of Multiple Deprivation …
Computer Science (2 works) · Advanced Graph Neural Networks (1 work) · Catchment area (1 work) · Complex Network Analysis Techniques (1 work) · Data Quality and Management (1 work) · Drainage basin (1 work) · Econometrics (1 work) · Economics (1 work) · Engineering (1 work) · Evacuation and Crowd Dynamics (1 work)