An Information Model for Pedestrian Routing and Navigation Databases Supporting Universal Accessibility
Bibliographic Data
| ID | 14701883 |
|---|---|
| Authors | Mari Laakso (0000-0002-2628-9418, Finnish Geodetic Institute / Masala / Finland, corresponding author), Tapani Sarjakoski (Finnish Geodetic Institute / Masala / Finland), Lassi Lehto (Finnish Geodetic Institute / Masala / Finland), L Tiina Sarjakoski (Finnish Geodetic Institute / Masala / Finland) |
| Year | 2013 |
| Volume | 48 |
| Issue | 2 |
| Pages | 89-99 |
| Publication date | 2013-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/carto.48.2.1837 |
| OpenAlex | W2071248930 |
| Language | EN |
| Citations received | 5 |
| References cited | 7 |
This study focuses on the information content of the geospatial databases used to guide pedestrians as well as those with disabilities. In this paper we introduce an information model for describing this content. The model covers the physical environment faced by a person moving on foot. We have used the Unified Modeling Language class diagrams to formalize the information model on a conceptual level. The features are divided into two abstract top-level classes: one allowing pedestrian access and the other hindering it. A consistent and comprehensive pedestrian network is at the core of the model. The model also covers other geographical information to increase accessibility. The aim of the created information model is to help data providers to collect and store appropriate data using the appropriate methods
Class (philosophy · Conceptual model · Data mining · Data model (GIS · Database · Geography · Geospatial analysis · Information model · Information retrieval · Pedestrian · Routing (electronic design automation · Transport engineering · Computer Science · Data Management and Algorithms · Engineering · Geographic Information Systems Studies · Semantic Web and Ontologies · Artificial Intelligence
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,45 |
| Citation span | 2015 - 2026 (12) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |