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URBAN VISUAL INDEX (UVI) BASED ON PUBLIC PREFERENCES FOR EVALUATING THE VISUAL-SPATIAL COMFORT OF KAYUTANGAN, INDONESIA

Research output: Contribution to journal › Article › peer-review

Abstract

Kayutangan is a strategic area that will undergo long-term development to increase its attractiveness as a cultural tourism area. Therefore, the government revitalizes the area by redesigning the pedestrian area to improve the quality of public space. However, after the renovation was finished, problems emerged that affected the Kayutangan road corridor’s (KRC) visual and spatial comfort, affecting the visitor’s impression of the historic area. Therefore, we investigate the Urban Visual Index (UVI) based on public preferences to evaluate the visual-spatial comfort of Kayutangan as a historic urban area. This study used a quantitative descriptive method with multiple linear regression analysis techniques using SPSS. The data are gathered using an online questionnaire. The results show that each zone has different index scores. Each zone has different building and pedestrian street elements that influence the historical impression of the area, depending on the zone's characteristics. However, some spots in each zone lack historical impression due to the failure of the area’s authentic image preservation and poor street furniture layout design. As a result, the design and layout of street furniture and preserving the authenticity of the Dutch colonial building design are crucial considerations when designing pedestrian spaces in a historic area to maintain its visual-spatial comfort.

Original languageEnglish
Pages (from-to)199-214
Number of pages16
JournalPlanning Malaysia
Volume23
Issue number4
DOIs
Publication statusPublished - Jan 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Historical impression
  • Public preference
  • Regression analysis
  • Streetscape
  • Visual-spatial comfort

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