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Table 1 Comparison of network- and raster-based methods with open data

From: Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019

 

Network-based

Raster-based

Critical datasets

OSM network

Friction layer

Dataset update frequency

Daily

The scope of a daily dataset update is not known as it is based on VGI

No info available

Last update: 2020

Data incompleteness exposure

Very high

The calculation is only based on the road network, thus the analysis is limited by the completeness of the mapped network

Medium

Friction layer construction mitigates the lack of road network completeness

Spatial resolution

100 m

Area extent is a vector geometry and thus does not have resolution limitations. Population datasets were available at a 100 m resolution

1 km

Friction layer was available at a 1 km resolution

Time resolution

Time intervals

The loss calculation cannot retrieve loss of access time within the same time range. Time intervals may be reduced to increase the number of time ranges but this would increase the computation time

Limited by cell size

According to Nelson [71], travel speed on tracks for motorized vehicles is 10 km/h and walking speed on bare ground is 2.5 km/h. Considering the granularity of the cell the time resolution would be 6 min for motorized vehicles and 24 min for walking

Computation time

Calculated for the specific analysis of Cyclone Idai case study with the computational environment described in Additional file 3

 ~ 3.5 h

The main time consuming step was the isochrones processing

 ~ 1 h

The main time consuming step was downloading the friction layer