Abstract

The increasing complexity of modern buildings has challenged the mobility of people with disabilities (PWD) in the indoor environment. To help overcome this problem, this paper proposes a data model that can be easily applied to indoor spatial information services for people with disabilities. In the proposed model, features are defined based on relevant regulations that stipulate significant mobility factors for people with disabilities. To validate the model’s capability to describe the indoor spaces in terms that are relevant to people with mobility disabilities, the model was used to generate data in a path planning application, considering two different cases in a shopping mall. The application confirmed that routes for people with mobility disabilities are significantly different from those of ordinary pedestrians, in a way that reflects features and attributes defined in the proposed data model. The latter can be inserted as an IndoorGML extension, and is thus expected to facilitate relevant data generation for the design of various services for people with disabilities.

Highlights

  • As indoor activities become increasingly diversified, newly constructed buildings have become larger and more complex

  • Sufficient information regarding indoor spaces is essential for many purposes [1,2], and changes in the indoor environment are causing an increase in demand for services such as indoor navigation

  • With the increasing complexity of indoor spaces, the associated challenge to people with disabilities (PWD) mobility has become an important social issue, and services such as personalized indoor navigation require indoor models that include sufficient obstacle information, preferably with a standardized data model that can be used for a variety of services

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Summary

Introduction

As indoor activities become increasingly diversified, newly constructed buildings have become larger and more complex. This structural complexity challenges efficient management of the various indoor facilities and hinders effective disaster responses. For PWD, indoor spaces are obstructed by objects such as walls, doors, and stairs, unlike outdoor spaces, where the limitations are based on geographical distances [1]. Such characteristics of indoor spaces can cause great difficulty for the free movement of PWD indoors. Effective PWD-related services require the construction of an indoor model that includes sufficient information on PWD mobility

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