Fig 1.
Multimodal synthetic example: Locations of employment centers (in orange), population centers (in blue), number of jobs and population, and travel times for two modes (slower mode x and faster mode z).
Table 1.
Accessibility values (S, a, V) at each origin (i) for the synthetic example.
Displayed per mode (m) (columns three to five) and aggregated per i (columns six and seven).
Fig 2.
Distribution of jobs taken by people living and working in Madrid as reported in the 2018 travel survey.
Grey TAZs have no jobs. Ranges of values in the legend are quintiles. The TAZ shapefile is available from the Community of Madrid open data portal.
Fig 3.
Population living and working in Madrid by mode of transportation as reported in the 2018 travel survey and represented at the level of TAZ.
Grey TAZ have no population. Ranges of values in the legend are quintiles. The TAZ shapefile is available from the Community of Madrid open data portal.
Fig 4.
Fitted impedance function against empirical TLD (bars) corresponding to the home to full-time work origin destination flows for the city of Madrid from the 2018 travel survey.
Fig 5.
Spatial availability of jobs per origin and mode in Madrid at the level of TAZ.
Grey TAZ have no population. Ranges of values in the legend are quintiles. The TAZ shapefile is available from the Community of Madrid open data portal.
Fig 6.
Proportion of population by mode and spatial availability of jobs by mode aggregated for three areas.
From left to right, the city of Madrid (All), the area within the M-30 highway (M-30), the area within the Centro region (Centro).
Fig 7.
Distribution of spatially available jobs per capita by mode of transportatin () represented at the level of TAZ.
Grey TAZ have no population that use the mode. Ranges of values in the legend are quintiles. The TAZ shapefile is available from the Community of Madrid open data portal.