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Update docs: multi-modal networks and flow allocation
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thomas-fred committed Sep 16, 2024
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28 changes: 16 additions & 12 deletions config/config.yaml
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##################################
### TRANSPORT DAMAGES WORKFLOW ###
##################################
#########################
### TRANSPORT DAMAGES ###
#########################

# OSM datasets in PBF format, principally from: https://download.geofabrik.de/ #
infrastructure_datasets:
Expand Down Expand Up @@ -66,9 +66,9 @@ keep_tags:
# Number of slices to cut dataset into -- must be a square number
slice_count: 64

#####################################
### TRANSPORT DISRUPTION WORKFLOW ###
#####################################
####################################
### MULTI-MODAL NETWORK CREATION ###
####################################

# country for which trade OD has been prepared, and we are to route land trade flows
study_country_iso_a3: "THA"
Expand All @@ -90,6 +90,10 @@ intermodal_cost_USD_t:
maritime_road: 4
maritime_rail: 5

############################
### TRANSPORT DISRUPTION ###
############################

# drop trade flows with less volume than this (accelerate flow allocation)
# N.B. 50t threshold preserves 91% of total volume and 88% of total value
# for combined agriculture & manufacturing flows between Thailand road nodes -> partner countries
Expand All @@ -98,9 +102,9 @@ minimum_flow_volume_t: 50
# if disrupting a network, remove edges experiencing hazard values in excess of this
edge_failure_threshold: 0.5

#########################
### FLOODING WORKFLOW ###
#########################
##########################
### TRANSPORT FLOODING ###
##########################

hazard_datasets:
# hazard rasters to retrieve
Expand Down Expand Up @@ -131,9 +135,9 @@ direct_damages:
]


###############################
### STORM / ENERGY WORKFLOW ###
###############################
##################################
### CYCLONE / ELECTRICITY GRID ###
##################################

# sets of storm ids to process for potentially many country networks
storm_sets:
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63 changes: 63 additions & 0 deletions docs/src/user-guide/usage/network-creation/composite-networks.md
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# Composite network generation

Create road or rail networks with varying asset filters (to primary routes in
one region, tertiary in others, etc.).

## Description

For each `infrastructure_dataset` and `network_filter`:
1. Download or copy `.osm.pbf` file to input data directory.
1. Filter OSM file with `osmium tags-filter` for elements matching the filter file (see configuration, below).
1. Define a bounding box for the OSM file, write to disk as JSON.
1. Define a grid partitioning the bounding box into a square number of 'slices' as a series of JSON files, one for each slice.
1. Cut the OSM file into these slices.
1. Convert the sliced OSM files into geoparquet, retaining the `keep_tags` as configured.
1. Clean and annotate features in the geoparquet files (joining additional data such as country, rehabiliation costs, etc.).
1. Join sliced network components together.
1. Join all datasets together.

## Configuration

- Review and amend `config/composite_networks/*.csv`
- Filter files should include two columns, infrastructure_dataset and
network_filter.
For example:
```bash
infrastructure_dataset,network_filter
thailand-latest,road-secondary
laos-latest,road-primary
cambodia-latest,road-primary
myanmar-latest,road-primary
```
These then map to the infrastructure datasets and network filters
specified in the `config/config.yaml` file.
- Review and amend `config/config.yaml`:
- The `composite_network` mapping is from an identifier key to a filter file
path.
- The `infrastructure_datasets` map should contain a key pointing to an `.osm.pbf`
file URL for the desired areas.
There are currently entries for the planet, for (some definition of)
continents and several countries. We use the
[geofabrik](http://download.geofabrik.de/) service for continent and
country-level OSM extracts.
- Check the OSM filter file pointed to by `network_filters.road`.
This file specifies which [elements](https://wiki.openstreetmap.org/wiki/Elements)
(nodes, ways or relations) to keep (or reject) from the multitude of data
in an OSM file. See the filter expressions section
[here](https://docs.osmcode.org/osmium/latest/osmium-tags-filter.html)
for more information on the syntax of these files.
- Check and amend `keep_tags.road` and/or `keep_tags.rail`. This list of
strings specifies which `tags` (attributes) to retain on the filtered
elements we extract from the `.osm.pbf` file.
- Review `slice_count`. This controls the degree of parallelism possible.
With it set to 1, there is no spatial slicing (we create the network in
a single chunk). To speed network creation for large domains, it can be
set to a larger square number. The first square number greater than your
number of available CPUs is a good heuristic.

## Creation

Here's an example creation command:
```bash
snakemake --cores all results/composite_network/south-east-asia-road/edges.gpq
```
86 changes: 86 additions & 0 deletions docs/src/user-guide/usage/network-creation/multi-modal.md
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# Multi-modal network integration

Combine different transport network modes (road, rail, maritime) together into a
connected global network, centered on a single country.

## Description

1. We require input land networks to connect. These can be created with other workflows in open-gira or you may bring your own.

Using open-gira you can create a road network for Thailand with the following:
```bash
snakemake --cores all results/thailand-latest_filter-road-primary/edges.gpq
```
See more details in [road.md](./road.md) and [rail.md](./rail.md).

Or make a composite network from
```bash
snakemake --cores all results/composite_network/south-east-asia-road/edges.gpq
```
For more details, see [composite-networks.md](./composite-networks.md).

However they're created, input land networks should be placed in the following locations:
```python
road_network_nodes = "{OUTPUT_DIR}/input/networks/road/{PROJECT_SLUG}/nodes.gpq",
road_network_edges = "{OUTPUT_DIR}/input/networks/road/{PROJECT_SLUG}/edges.gpq",
rail_network_nodes = "{OUTPUT_DIR}/input/networks/rail/{PROJECT_SLUG}/nodes.gpq",
rail_network_edges = "{OUTPUT_DIR}/input/networks/rail/{PROJECT_SLUG}/edges.gpq",
```

1. We also require input maritime network data:

Network nodes, including ports for import, export and trans-shipment.
```python
nodes = "{OUTPUT_DIR}/input/networks/maritime/nodes.gpq",
```
Sample node data:
```
id infra name iso3 Continent_Code geometry
port3 port Aberdeen_United Kingdom GBR EU POINT (-2.07662 57.13993)
port84 port Avonmouth_United Kingdom GBR EU POINT (-2.70877 51.49812)
port121 port Barry_United Kingdom GBR EU POINT (-3.24712 51.40467)
```

Network edges with costs (used for routing over). The referenced port nodes are
appended with `in` or `out` as the network is bi-directional.
```python
edges_no_geom = "{OUTPUT_DIR}/input/networks/maritime/edges_by_cargo/maritime_base_network_general_cargo.pq",
```
Sample edge data:
```
from_id to_id from_infra to_infra mode from_iso3 to_iso3 distance_km cost_USD_t_km from_port to_port
port0_out port1099_in port port maritime AUS ZAF 14296.116346 0.002385 port0 port1099
port1001_out port1099_in port port maritime BRA ZAF 9016.208416 0.003095 port1001 port1099
port1005_out port1099_in port port maritime ITA ZAF 10973.998701 0.004198 port1005 port1099
```

Network edges without costs, but with a geometry that can be used for visualising flows over.
```python
edges_visualisation = "{OUTPUT_DIR}/input/networks/maritime/edges.gpq",
```
Sample visualisation edge data:
```
from_id to_id from_infra to_infra id geometry
maritime0 maritime1265 maritime maritime maritimeroute_0 LINESTRING (11.00000 -19.00002, 5.51647 -19.58...
maritime213 maritime1265 maritime maritime maritimeroute_1 LINESTRING (9.99999 -30.00001, 4.79550 -25.083...
maritime964 maritime1265 maritime maritime maritimeroute_2 LINESTRING (-10.00000 -10.00002, -7.58272 -12....
```

## Configuration

- Review and amend `config/config.yaml`:
- `study_country_iso_a3`: the ISO 3 letter code of the country in question
- `road_cost_USD_t_km`: cost in USD per tonne per km of road freight
- `road_cost_USD_t_h`: cost in USD per tonne per hour of road freight
- `road_default_speed_limit_km_h`: speed limit in km per hour if no other is available
- `rail_cost_USD_t_km`: cost in USD per tonne per km of rail freight
- `rail_cost_USD_t_h`: cost in USD per tonne per hour of rail freight
- `rail_average_freight_speed_km_h`: speed assumption for rail freight in km per hour
- `intermodal_cost_USD_t`: cost in USD per tonne of changing from one network mode to another (e.g. road to rail)

## Creation

Here's an example command to create a multi-modal network, bringing together land networks under `project-thailand` and joining them to a maritime network:
```bash
snakemake --cores all results/multi-modal_network/project-thailand/edges.gpq
```
2 changes: 0 additions & 2 deletions docs/src/user-guide/usage/network-creation/rail.md
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Expand Up @@ -43,8 +43,6 @@ To specify a desired network:
a single chunk). To speed network creation for large domains, it can be
set to a larger square number. The first square number greater than your
number of available CPUs is a good heuristic.
- Check and amend the values of `transport.rail`, which provide some
defaults for OSM data gap-filling.

## Creation

Expand Down
2 changes: 0 additions & 2 deletions docs/src/user-guide/usage/network-creation/road.md
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Expand Up @@ -42,8 +42,6 @@ To specify a desired network:
a single chunk). To speed network creation for large domains, it can be
set to a larger square number. The first square number greater than your
number of available CPUs is a good heuristic.
- Check and amend the values of `transport.road`, which provide some
defaults for OSM data gap-filling.

## Creation

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53 changes: 53 additions & 0 deletions docs/src/user-guide/usage/risk-analysis/flow-allocation.md
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# Flow allocation

This workflow can allocate transport flows from origin-destination matrices over
networks. These networks may be intact or degraded.

## Description

1. We require an input trade origin-destination matrix (OD).

This should have the following format:
```
id partner_GID_0 value_kusd volume_tons
thailand-latest_14_10 ABW 4.536817e-07 5.172909e-07
thailand-latest_14_10 AFG 3.524201e-06 8.233424e-07
thailand-latest_14_10 AGO 4.582354e-04 1.108041e-03
```

Where:
- `id` are node ids in the network to be routed over
- `partner_GID_0` is a partner country ISO 3-letter code
- `value_kusd` is the trade value in thousands of USD per year
- `volume_tons` is the trade mass (a.k.a. volume) in tonnes per year

This file should be located here:
```python
od = "{OUTPUT_DIR}/input/trade_matrix/{PROJECT_SLUG}/trade_nodes_total.parquet",
```

1. This workflow can route over intact or disrupted networks. If disrupting a
network, the raster used to represent the hazard must be available at:
```python
raster = "{OUTPUT_DIR}/hazard/{HAZARD_SLUG}.tif",
```

## Configuration

Review and amend `config/config.yaml`:
- `minimum_flow_volume_t`: discard flows in the OD with a `volume_tons` value less than this
- `edge_failure_threshold`: when failing a network subject to a hazard raster,
remove edges experiencing intensities greater than this


## Creation

Here's an example creation command where `PROJECT_SLUG` is `project-thailand`:
```bash
snakemake --cores all results/flow_allocation/project-thailand/routes_with_costs.pq",
```
And for the disrupted case, where `HAZARD_SLUG` is `hazard-thai-floods-2011`:
```bash
snakemake --cores all results/flow_allocation/project-thailand/hazard-thai-floods-2011/routes_with_costs.pq",
```

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