Description

The indicator could be defined as the number of visitors over a year.

The number of visitors can be defined as the amount of people visiting the study area.

In the Baseline Scenario, the indicator will be calculated consulting data on tourism, counting the number of visitors in the study area.

In the Design Scenario, the indicator will be assessed adopting a five-point Likert item with categories “Very Poor”, "Poor", "Average", "Good", and "Very Good" to evaluate the likelihood of occurring the increasing of touristic activeness.

In the Long Term Scenario, the indicator will be calculated, as in the Baseline Scenario, considering the data made available some years after NBS/Grey/Hybrid solutions have been implemented.

Scale as linked to D2.2 framework

• City
• Neighborhood 
• Street

Data source [ link to data framework]

• Public agencies (National institute of statistics, Regional tourism agency, Municipalities, etc.)

Data needs

• Number of visitors in the study area

Expected Outputs

• No./year
• five-point Likert item with categories “Very Poor”, "Poor", "Average", "Good", and "Very Good"

Calculation methods

• The number of visitors can be monitored through a direct survey or assessed using models. Both these approaches entail an ex-post indicator evaluation. Ad hoc direct survey can be carried out in different periods over the year, for instance one week for each season, and the number of visitors detected can be multiplied for the number of weeks in a year.
• When there is no time and/or economic resources for an ad hoc direct survey the number of visitors can be estimated through models that needs official data concerning tourists (National institute of statistics, Regional tourism agency, etc.) and/or other proxy data (amount of solid urban waste produced; electricity consumption in private houses; number of houses available for vacation).

Links and references