Advertisement

A Route Evaluation Method Considering the Subjective Evaluation on Walkability, Safety, and Pleasantness by Elderly Pedestrians

  • Hiroshi FurukawaEmail author
  • Zhiping Wang
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

To improve the quality of life (QOL) of elderly people, we propose a route planning method considering the subjective evaluation on walkability, safety, and pleasantness of the users. By using this method, it is possible to plan a route with lower physical load, higher safety, and more enjoyable for each elderly user. To quantify their preferences, the acceptable time delay is used for the cost functions. In this study, we confirmed that the factors can take into consideration the mental and physical situation of the user and acquired the quantitative cost functions for these factors. The cost functions were constructed based on the subjective evaluation data. The basic validity of the method was confirmed by a subjective evaluation experiment.

Keywords

Pedestrian navigation system Elderly users Preferences Cognitive model Quality of life 

Notes

Acknowledgments

This work was supported in part by Grants-Aid for Science Research 17K00436 of the Japanese Ministry of Education, Science, Sports and Culture.

References

  1. 1.
    Ministry of Internal Affairs and Communication, Statistics Bureau: Japan Statistical Yearbook, Chapter 2: Population and Households. http://www.stat.go.jp/english/data/nenkan/1431-02.html
  2. 2.
    Muramatsu N, Akiyama H (2011) Japan: super-aging society preparing for the future. Gerontol 51(4):425–432CrossRefGoogle Scholar
  3. 3.
    Mizuno E (2011) Research on anxiety and intention of elderly people to go out. Research notes of The Dai-ichi Life Research Institute. http://group.dai-ichi-life.co.jp/dlri/ldi/note/notes1107a.pdf
  4. 4.
    Sun Y, Lee L (2004) Agent-based personalized tourist route advice system. In: ISPRS congress Istanbul 2004, pp 319–324Google Scholar
  5. 5.
    Novack T, Wang Z, Zipf A (2018) A system for generating customized pleasant pedestrian routes based on OpenStreetMap data. Sensors 18:3794CrossRefGoogle Scholar
  6. 6.
    Torres M, Pelta DA, Verdegay JL (2018) PRoA: an intelligent multi-criteria Personalized Route Assistant. Eng Appl Artif Intell 72:162–169CrossRefGoogle Scholar
  7. 7.
    Matsuda M, Sugiyama H, Doi M (2004) A personalized route guidance system for pedestrians. IEICE transactions on fundamentals of electronics, communications and computer sciences, vol 87, pp 132–139Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Risk EngineeringUniversity of TsukubaTsukubaJapan

Personalised recommendations