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aeromaps.models.air_transport.air_traffic.short_range_distribution

short_range_distribution

Module to compute short-range aircraft shares when using simple efficiency models.

Warning

Apparently, this module is not used in the current version of AeroMAPS.

ShortRangeDistribution 

ShortRangeDistribution(name='short_range_distribution', *args, **kwargs)

Bases: AeroMAPSModel

Class to compute the market shares of short-range aircraft architectures when using simple aircraft efficiency model.

Parameters:

Name Type Description Default
name str

Name of the model instance ('short_range_distribution' by default).

 'short_range_distribution'
Source code in aeromaps/models/air_transport/air_traffic/short_range_distribution.py 
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def __init__(self, name="short_range_distribution", *args, **kwargs):
    super().__init__(name=name, *args, **kwargs)

compute 

compute(short_range_basicturbofan_share_2019, short_range_basicturbofan_share_2030, short_range_basicturbofan_share_2040, short_range_basicturbofan_share_2050, short_range_regionalturboprop_share_2019, short_range_regionalturboprop_share_2030, short_range_regionalturboprop_share_2040, short_range_regionalturboprop_share_2050)

Short range distribution calculation.

Parameters:

Name Type Description Default
short_range_basicturbofan_share_2019 float

Share of narrow-body turbofan architectures in passenger short-range market in 2019 [%].

 required
short_range_basicturbofan_share_2030 float

Share of narrow-body turbofan architectures in passenger short-range market in 2030 [%].

 required
short_range_basicturbofan_share_2040 float

Share of narrow-body turbofan architectures in passenger short-range market in 2040 [%].

 required
short_range_basicturbofan_share_2050 float

Share of narrow-body turbofan architectures in passenger short-range market in 2050 [%].

 required
short_range_regionalturboprop_share_2019 float

Share of regional turboprop architectures in passenger short-range market in 2019 [%].

 required
short_range_regionalturboprop_share_2030 float

Share of regional turboprop architectures in passenger short-range market in 2030 [%].

 required
short_range_regionalturboprop_share_2040 float

Share of regional turboprop architectures in passenger short-range market in 2040 [%].

 required
short_range_regionalturboprop_share_2050 float

Share of regional turboprop architectures in passenger short-range market in 2050 [%].

 required

Returns:

Type Description
short_range_basicturbofan_share

Share of narrow-body turbofan architectures in passenger short-range market [%].
short_range_regionalturboprop_share

Share of regional turboprop architectures in passenger short-range market [%].
short_range_regionalturbofan_share

Share of regional turbofan architectures in passenger short-range market [%].
Source code in aeromaps/models/air_transport/air_traffic/short_range_distribution.py 
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def compute(
    self,
    short_range_basicturbofan_share_2019: float,
    short_range_basicturbofan_share_2030: float,
    short_range_basicturbofan_share_2040: float,
    short_range_basicturbofan_share_2050: float,
    short_range_regionalturboprop_share_2019: float,
    short_range_regionalturboprop_share_2030: float,
    short_range_regionalturboprop_share_2040: float,
    short_range_regionalturboprop_share_2050: float,
) -> Tuple[
    pd.Series,
    pd.Series,
    pd.Series,
]:
    """
    Short range distribution calculation.

    Parameters
    ----------
    short_range_basicturbofan_share_2019
        Share of narrow-body turbofan architectures in passenger short-range market in 2019 [%].
    short_range_basicturbofan_share_2030
        Share of narrow-body turbofan architectures in passenger short-range market in 2030 [%].
    short_range_basicturbofan_share_2040
        Share of narrow-body turbofan architectures in passenger short-range market in 2040 [%].
    short_range_basicturbofan_share_2050
        Share of narrow-body turbofan architectures in passenger short-range market in 2050 [%].
    short_range_regionalturboprop_share_2019
        Share of regional turboprop architectures in passenger short-range market in 2019 [%].
    short_range_regionalturboprop_share_2030
        Share of regional turboprop architectures in passenger short-range market in 2030 [%].
    short_range_regionalturboprop_share_2040
        Share of regional turboprop architectures in passenger short-range market in 2040 [%].
    short_range_regionalturboprop_share_2050
        Share of regional turboprop architectures in passenger short-range market in 2050 [%].

    Returns
    -------
    short_range_basicturbofan_share
        Share of narrow-body turbofan architectures in passenger short-range market [%].
    short_range_regionalturboprop_share
        Share of regional turboprop architectures in passenger short-range market [%].
    short_range_regionalturbofan_share
        Share of regional turbofan architectures in passenger short-range market [%].
    """

    reference_years = [2019, 2030, 2040, self.end_year]

    # Reference
    # "short_range_basicturbofan_share_2019": 88.4,
    # "short_range_regionalturboprop_share_2019": 2.5,
    # "short_range_regionalturbofan_share_2019": 9.1,

    # Basic Turbofan
    reference_values_basicturbofan = [
        short_range_basicturbofan_share_2019,
        short_range_basicturbofan_share_2030,
        short_range_basicturbofan_share_2040,
        short_range_basicturbofan_share_2050,
    ]
    short_range_basicturbofan_share_function = interp1d(
        reference_years, reference_values_basicturbofan, kind="linear"
    )
    for k in range(self.prospection_start_year - 1, self.end_year + 1):
        self.df.loc[k, "short_range_basicturbofan_share"] = (
            short_range_basicturbofan_share_function(k)
        )

    # Regional Turboprop
    reference_values_regionalturboprop = [
        short_range_regionalturboprop_share_2019,
        short_range_regionalturboprop_share_2030,
        short_range_regionalturboprop_share_2040,
        short_range_regionalturboprop_share_2050,
    ]
    short_range_regionalturboprop_share_function = interp1d(
        reference_years, reference_values_regionalturboprop, kind="linear"
    )
    for k in range(self.prospection_start_year - 1, self.end_year + 1):
        self.df.loc[k, "short_range_regionalturboprop_share"] = (
            short_range_regionalturboprop_share_function(k)
        )

    short_range_basicturbofan_share = self.df["short_range_basicturbofan_share"]
    short_range_regionalturboprop_share = self.df["short_range_regionalturboprop_share"]

    # Regional Turbofan
    short_range_regionalturbofan_share = (
        100 - short_range_basicturbofan_share - short_range_regionalturboprop_share
    )
    self.df.loc[:, "short_range_regionalturbofan_share"] = short_range_regionalturbofan_share

    return (
        short_range_basicturbofan_share,
        short_range_regionalturboprop_share,
        short_range_regionalturbofan_share,
    )

RPKShortRange 

RPKShortRange(name='rpk_short_range', *args, **kwargs)

Bases: AeroMAPSModel

Class to compute RPK distribution for short-range market by aircraft architecture.

Parameters:

Name Type Description Default
name str

Name of the model instance ('rpk_short_range' by default).

 'rpk_short_range'
Source code in aeromaps/models/air_transport/air_traffic/short_range_distribution.py 
143
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def __init__(self, name="rpk_short_range", *args, **kwargs):
    super().__init__(name=name, *args, **kwargs)

compute 

compute(rpk_short_range, short_range_basicturbofan_share, short_range_regionalturboprop_share, short_range_regionalturbofan_share)

RPK short range calculation.

Parameters:

Name Type Description Default
rpk_short_range Series

Number of Revenue Passenger Kilometer (RPK) for passenger short-range market [RPK].

 required
short_range_basicturbofan_share Series

Share of narrow-body turbofan architectures in passenger short-range market [%].

 required
short_range_regionalturboprop_share Series

Share of regional turboprop architectures in passenger short-range market [%].

 required
short_range_regionalturbofan_share Series

Share of regional turbofan architectures in passenger short-range market [%].

 required

Returns:

Type Description
rpk_short_range_basicturbofan

RPK for short-range market from basic turbofan aircraft [RPK].
rpk_short_range_regionalturboprop

RPK for short-range market from regional turboprop aircraft [RPK].
rpk_short_range_regionalturbofan

RPK for short-range market from regional turbofan aircraft [RPK].
cagr_rpk_short_range_basicturbofan

Air traffic CAGR over prospective_years for short-range basic turbofan market [%].
cagr_rpk_short_range_regionalturboprop

Air traffic CAGR over prospective_years for short-range regional turboprop market [%].
cagr_rpk_short_range_regionalturbofan

Air traffic CAGR over prospective_years for short-range regional turbofan market [%].
prospective_evolution_rpk_short_range_basicturbofan

Evolution in percentage of RPK for short-range basic turbofan market between prospection_start_year and end_year [%].
prospective_evolution_rpk_short_range_regionalturboprop

Evolution in percentage of RPK for short-range regional turboprop market between prospection_start_year and end_year [%].
prospective_evolution_rpk_short_range_regionalturbofan

Evolution in percentage of RPK for short-range regional turbofan market between prospection_start_year and end_year [%].
Source code in aeromaps/models/air_transport/air_traffic/short_range_distribution.py 
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def compute(
    self,
    rpk_short_range: pd.Series,
    short_range_basicturbofan_share: pd.Series,
    short_range_regionalturboprop_share: pd.Series,
    short_range_regionalturbofan_share: pd.Series,
) -> Tuple[
    pd.Series,
    pd.Series,
    pd.Series,
    float,
    float,
    float,
    float,
    float,
    float,
]:
    """
    RPK short range calculation.

    Parameters
    ----------
    rpk_short_range
        Number of Revenue Passenger Kilometer (RPK) for passenger short-range market [RPK].
    short_range_basicturbofan_share
        Share of narrow-body turbofan architectures in passenger short-range market [%].
    short_range_regionalturboprop_share
        Share of regional turboprop architectures in passenger short-range market [%].
    short_range_regionalturbofan_share
        Share of regional turbofan architectures in passenger short-range market [%].

    Returns
    -------
    rpk_short_range_basicturbofan
        RPK for short-range market from basic turbofan aircraft [RPK].
    rpk_short_range_regionalturboprop
        RPK for short-range market from regional turboprop aircraft [RPK].
    rpk_short_range_regionalturbofan
        RPK for short-range market from regional turbofan aircraft [RPK].
    cagr_rpk_short_range_basicturbofan
        Air traffic CAGR over prospective_years for short-range basic turbofan market [%].
    cagr_rpk_short_range_regionalturboprop
        Air traffic CAGR over prospective_years for short-range regional turboprop market [%].
    cagr_rpk_short_range_regionalturbofan
        Air traffic CAGR over prospective_years for short-range regional turbofan market [%].
    prospective_evolution_rpk_short_range_basicturbofan
        Evolution in percentage of RPK for short-range basic turbofan market between prospection_start_year and end_year [%].
    prospective_evolution_rpk_short_range_regionalturboprop
        Evolution in percentage of RPK for short-range regional turboprop market between prospection_start_year and end_year [%].
    prospective_evolution_rpk_short_range_regionalturbofan
        Evolution in percentage of RPK for short-range regional turbofan market between prospection_start_year and end_year [%].
    """

    rpk_short_range_basicturbofan = rpk_short_range * short_range_basicturbofan_share / 100
    rpk_short_range_regionalturboprop = (
        rpk_short_range * short_range_regionalturboprop_share / 100
    )
    rpk_short_range_regionalturbofan = (
        rpk_short_range * short_range_regionalturbofan_share / 100
    )

    self.df.loc[:, "rpk_short_range_basicturbofan"] = rpk_short_range_basicturbofan
    self.df.loc[:, "rpk_short_range_regionalturboprop"] = rpk_short_range_regionalturboprop
    self.df.loc[:, "rpk_short_range_regionalturbofan"] = rpk_short_range_regionalturbofan

    # Compound Annual Growth Rate (CAGR)
    cagr_rpk_short_range_basicturbofan = 100 * (
        (
            self.df.loc[self.end_year, "rpk_short_range_basicturbofan"]
            / self.df.loc[self.prospection_start_year - 1, "rpk_short_range_basicturbofan"]
        )
        ** (1 / (self.end_year - self.prospection_start_year))
        - 1
    )
    cagr_rpk_short_range_regionalturboprop = 100 * (
        (
            self.df.loc[self.end_year, "rpk_short_range_regionalturboprop"]
            / self.df.loc[self.prospection_start_year - 1, "rpk_short_range_regionalturboprop"]
        )
        ** (1 / (self.end_year - self.prospection_start_year))
        - 1
    )
    cagr_rpk_short_range_regionalturbofan = 100 * (
        (
            self.df.loc[self.end_year, "rpk_short_range_regionalturbofan"]
            / self.df.loc[self.prospection_start_year - 1, "rpk_short_range_regionalturbofan"]
        )
        ** (1 / (self.end_year - self.prospection_start_year))
        - 1
    )

    # Prospective evolution of RPK (between prospection_start_year-1 and end_year)
    prospective_evolution_rpk_short_range_basicturbofan = 100 * (
        self.df.loc[self.end_year, "rpk_short_range_basicturbofan"]
        / self.df.loc[self.prospection_start_year - 1, "rpk_short_range_basicturbofan"]
        - 1
    )
    prospective_evolution_rpk_short_range_regionalturboprop = 100 * (
        self.df.loc[self.end_year, "rpk_short_range_regionalturboprop"]
        / self.df.loc[self.prospection_start_year - 1, "rpk_short_range_regionalturboprop"]
        - 1
    )
    prospective_evolution_rpk_short_range_regionalturbofan = 100 * (
        self.df.loc[self.end_year, "rpk_short_range_regionalturbofan"]
        / self.df.loc[self.prospection_start_year - 1, "rpk_short_range_regionalturbofan"]
        - 1
    )

    self.float_outputs["cagr_rpk_short_range_basicturbofan"] = (
        cagr_rpk_short_range_basicturbofan
    )
    self.float_outputs["cagr_rpk_short_range_regionalturboprop"] = (
        cagr_rpk_short_range_regionalturboprop
    )
    self.float_outputs["cagr_rpk_short_range_regionalturbofan"] = (
        cagr_rpk_short_range_regionalturbofan
    )
    self.float_outputs["prospective_evolution_rpk_short_range_basicturbofan"] = (
        prospective_evolution_rpk_short_range_basicturbofan
    )
    self.float_outputs["prospective_evolution_rpk_short_range_regionalturboprop"] = (
        prospective_evolution_rpk_short_range_regionalturboprop
    )
    self.float_outputs["prospective_evolution_rpk_short_range_regionalturbofan"] = (
        prospective_evolution_rpk_short_range_regionalturbofan
    )

    return (
        rpk_short_range_basicturbofan,
        rpk_short_range_regionalturboprop,
        rpk_short_range_regionalturbofan,
        cagr_rpk_short_range_basicturbofan,
        cagr_rpk_short_range_regionalturboprop,
        cagr_rpk_short_range_regionalturbofan,
        prospective_evolution_rpk_short_range_basicturbofan,
        prospective_evolution_rpk_short_range_regionalturboprop,
        prospective_evolution_rpk_short_range_regionalturbofan,
    )