Ffion Carney
Biographic Data
| ID | 6580275 |
|---|---|
| NAME | Ffion Carney |
| GIVEN NAMES | Ffion |
| FAMILY NAME | Carney |
| SIGNATURE | CARNEY F |
| AFFILIATIONS | University College London |
| ORCID | 0009-0006-5170-8756 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Who is returning to public transport for non-work trips after Covid-19? Evidence from older citizens' smart cards in the UK's second largest city region
Harnessing a unique data source - longitudinal travel smartcard data linked to passenger demographics from 2019 to 2022 - we use methods of survival analysis to model the recovery of public transport patronage among 183,891 senior citizens resident in the West Midlands metropolitan region in the United Kingdom. Comparing pre and peri-pandemic patronage, we identify pronounced social and spatial inequalities in the speed of return to public transp…
Who is returning to public transport for non-work trips after Covid-19? Evidence from older citizens' smart cards in the UK's second largest city region
Harnessing a unique data source - longitudinal travel smartcard data linked to passenger demographics from 2019 to 2022 - we use methods of survival analysis to model the recovery of public transport patronage among 183,891 senior citizens resident in the West Midlands metropolitan region in the United Kingdom. Comparing pre and peri-pandemic patronage, we identify pronounced social and spatial inequalities in the speed of return to public transp…
Who is returning to public transport for non-work trips after Covid-19? Evidence from older citizens' smart cards in the UK's second largest city region
Harnessing a unique data source - longitudinal travel smartcard data linked to passenger demographics from 2019 to 2022 - we use methods of survival analysis to model the recovery of public transport patronage among 183,891 senior citizens resident in the West Midlands metropolitan region in the United Kingdom. Comparing pre and peri-pandemic patronage, we identify pronounced social and spatial inequalities in the speed of return to public transp…
Business (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Demographic economics (1 work) · Demographics (1 work) · Demography (1 work) · Demography (1 work) · Economic growth (1 work) · Economics (1 work) · Engineering (1 work) · Ethnic group (1 work)