A decision-making approach for determining strategic priority of sustainable smart city services from citizens’ perspective: A case study of Hong Kong

Yuyao Liu, Tingting Ji, Hung Chak Ho, Chunlan Guo, Hsi Hsien Wei

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The development of sustainable smart city (SC) services is often carried out with limited resources, but there is little discussion about the strategic priority of promoting SC development from the citizens’ perspective. This study developed a decision-making approach to determine the supply and demand priority of SC services using utility and need theories, with Hong Kong as a case study. The results show that smart environment services should be prioritized for all population groups, while the differences in priority among older adults, people with lower digital literacy, and people with lower income were relatively small. On the one hand, the supply of SC services should be prioritized for those that are closely linked to citizens’ daily lives, have a long-term impact on communities, and are targeted to large user groups. On the other hand, priority should be given to those services that meet citizens’ demands for physiological, safety, and self-actualization needs. This study enriches the theoretical framework of people-centric SC research through the innovative integration of Bradley-Terry and rank-ordered logit models for determining the development priority for SC services, which can serve as a practical decision-making tool for policy makers to effectively allocate resources for sustainable SC development.

Original languageEnglish
Article number105147
JournalSustainable Cities and Society
Volume101
DOIs
Publication statusPublished - Feb 2024

Keywords

  • Digital literacy
  • Heterogeneity
  • People-centric strategy
  • Priority order
  • Smart city development

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Transportation

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