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  5. Smart routing systems: developing an efficient and inclusive digital solution for local community and tourists in urban scenarios

Smart routing systems: developing an efficient and inclusive digital solution for local community and tourists in urban scenarios

Author(s)
Ruko, Sediola
Date Issued
November 27, 2025
Type
Doctoral Thesis
Abstract
Digital mapping technologies have increasingly demonstrated the potential to support individuals with disabilities and tourists navigate urban environments in a more accessible and informed manner. Over the years, digital mapping has become a powerful tool for assisting people with disabilities by improving mobility, independence, and access to information. Modern mapping platforms like Google Maps now offer wheelchair-accessible route planning, highlight elevators in public spaces, and provide real-time updates about obstructions or construction that might affect accessibility. However, despite these advancements, challenges remain, including incomplete accessibility data, the need for real-time updates, and the lack of standardized information across platforms showing that the landscape of digital mapping applications remains fragmented, with varying levels of inclusivity and user adaptation. This dissertation aims to close multiple gaps that are prevalent in current digital mapping based solutions. More specifically, this dissertation investigates the design, development and evaluation of solutions relying on digital mapping technologies with the purpose of improving urban accessibility and navigation for multiple categories of people. The work presented here addresses three distinct yet interrelated challenges: 1) a comprehensive analysis of existing digital mapping applications for users with disabilities, 2) the design and evaluation of a novel accessibility-focused navigation and rating application, and 3) the development of an optimized tourist routing approach that is able to account for both user interests and their impairment restrictions. Regarding the first challenge, this dissertation provides an extensive literature review assessing current digital mapping tools’ functionalities, strengths, and limitations aimed at users with different disabilities. The analysis identifies critical gaps in addressing diverse accessibility needs, motivating subsequent contributions. For the second challenge, building upon the knowledge obtained during the abovementioned study, this work introduces a user-centered application that facilitates both navigation and the rating of public spaces based on accessibility features. Empirical evaluation, through field testing with a pool of testers, including individuals with various impairments, demonstrates the system’s efficiency and usability, achieving a reputable overall satisfaction. Regarding the third challenge, this dissertation proposes a routing strategy that enables tourists to maximize the number of attractions visited by navigating scenic and pedestrian-friendly streets thus offering a personalized and simultaneously optimized sightseeing experience. This approach is further extended to integrate the knowledge and insights previously gathered in assisted-navigation of impaired persons to render this approach as inclusive as possible, while aiming to also maximize user satisfaction. The research work presented in this dissertation highlights the necessity and importance of integrating accessibility requirements into navigation systems, the value of participatory feedback in improving urban environments, and the potential of optimized routing strategies to enrich user experiences. This work demonstrates that advancing digital mapping through inclusive and intelligent design principles is essential to foster equitable urban exploration for all user categories. The chapters in this thesis offer insights and methodologies to guide further research and development in accessible digital mapping.
Additional information
Dottorato di ricerca in Engineering for Energy and Environment
Subjects

Digital mapping

Routing algorithms

Recommendation system...

Accessibility

AI

Mappatura digitale

Algoritmi di instrada...

Accessibilità

IINF-05/A

Handle
https://dspace.unitus.it/handle/2067/72250
File(s)
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sruko_tesid.pdf

Size

4.3 MB

Format

Adobe PDF

Checksum (MD5)

dbb2c027dc28e57ac3c3a87e8843bb5c

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