transport-cba 0.1.2

A Python package for cost-benefit analysis of infrastructure projects

transport-cba

A Python module for cost-benefit analysis of infrastructure projects.

Provides a consistent way to evaluate economic efficiency of road projects with well-defined inputs and parameters.

Main benefits compared to traiditional Excel-based approach:

• several orders of magnitude faster and cheaper
• wider options for analysis of alternative scenarios
• significantly lower margin for error

Installation

From pip:

pip install transport-cba

Or directly from git:

pip install git+https://github.com/transport-cba/transport-cba.git

Inputs

Load project inputs as an Excel file with following sheet names: road_params, capex, intensities_0, intensities_1, velocities_0, velocities_1

Meaning of required inputs:

• capital expenditures (CAPEX) with pre-defined items
• parameters of road sections (length, width, number of lanes etc)
• vehicle intensities in variant 0 and 1 (without and with the project) by road segment
• vehicle velocities in variant 0 and 1 by segment

For illustration, please download the sample input (see below).

Outputs

• Dataframe of costs and benefits
• Economic indicators:
  • economic net present value (ENPV)
  • economic internal rate of return (ERR)
  • benefit to cost ratio (BCR)
  • dataframes with breakdown of relevant benefits by years

Example

NB: Values might differ slightly.

>>> from transport_cba import RoadCBA
>>> from transport_cba.sample_projects import load_sample_bypass

>>> bypass = load_sample_bypass()

>>> cba = RoadCBA(2020, "svk")
>>> cba.read_project_inputs(
...     bypass["road_params"],
...     bypass["capex"],
...     bypass["intensities_0"],
...     bypass["intensities_1"],
...     bypass["velocities_0"],
...     bypass["velocities_1"]
... )
>>> cba.economic_analysis()
>>> cba.economic_indicators

	Quantity	Unit	Value
0	ENPV	M EUR	3.336
1	ERR	%	5.62
2	BCR		1.076