Sustainable mobility model for events and tourist destinations

by | Nov 10, 2020 | 0 comments

Application Track:

Ready Made

Code:

REACH-2020-READYMADE-PLAY&GO_1

Proposed by:

Play&Go

Entity Logo:

Summary of the entity:

Play&go experience creates customized APPS that improves the user experience, based on serious games, geolocation and augmented reality. With geolocated data we provide the user information of interest getting more interaction. Besides that, it is a channel of real-time communication for organizations, obtaining geolocated information (socio-demographic and psychographic), for hypersegmented marketing campaigns and public policy planning. 

Summary of the challenge:

The goal is the generation of a sustainable mobility model for cities, both for businesses that want to know where visitors move, and for the administration in the face of urban planning and mobility management.

Description:

Tourist cities have crowding problems in certain areas and times, usually associated with festivities and events of interest. Likewise, mobility and traffic problems occur in these situations, which directly affects pollution.

Through this challenge, it is proposed to identify and visualize in a simple and intuitive way where and when these agglomerations have occurred around Points of Interest and tourist resources in large events in different cities.

This information will help to promote a certain behaviour among visitors, causing them to move to less saturated areas and favouring the decentralization of tourists.

The challenge proposed is the generation of a sustainable mobility model for cities, both for businesses that want to know where visitors move, and for the administration in the face of urban planning and mobility management. The model must consider all these aspects, as well as other external data sources, so that this model can be extrapolated to other cities and other similar events.

Data:

The available Dataset is First Data Party, so they can be added to other types of open data (e.g. statistical and mobility data from the INE, etc.) or from companies (telephony and banks) to improve the model and obtain behaviour patterns in other scenarios spatial or temporal in any economic sector.

Expected outcomes:

  1. It is expected to obtain the mobility of tourists and the areas with the most mobility and the highest rated POIs.
  2. The result will be displayed in the form of a dashboard with maps and interactive graphics that allow the results to be viewed and their evolution predicted.

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