Digital solutions for sustainable planning and management of shared micromobility using Big Data

Purpose and goal:

This project aims to promote sustainable development and regulation of shared micro-mobility by providing quantitative insights based on big data regarding the performance (i.e., sustainability and efficiency from both user and system perspectives) of different types of shared micro-mobility, and digital solutions for advanced management of shared micro-mobility. Special emphasis is placed on leveraging emerging techniques, including big data, deep learning, and digitalization, to develop and implement a set of new analysis approaches.

Expected results and effects:

This project aims to develop a robust framework and digital tools based on big data to effectively plan and manage shared micro-mobility services. Through collaboration between academic experts from Chalmers University of Technology, systems analysis practitioners from WSP and CERO, and Stockholm City stakeholders, this proposal will demonstrate innovative collaboration.

The goal is to create scalable digital solutions that can be easily adapted and used in other cities across Europe and globally. Approach and implementation:

The main objectives will be achieved through three work packages (WPs). WP 1 focuses on developing methodologies to quantify the user and system impacts of various shared micro-mobility systems (SMS), along with demonstrative case studies based on data from Swedish cities (Stockholm and Gothenburg). Building on WP 1, WP 2 aims to develop technical innovations (models and digital dashboards) to assess how SMS performance changes with various management measures. WP 3 will investigate effective measures to enhance the sustainability and efficiency of SMS.