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<p>Historic districts in developing countries undergo regeneration to preserve heritage and revitalize economies. Renovated building exteriors, as highly visible spatial elements, enhance vitality and sustain historical identity. Given that few studies have quantitatively examined exteriors’ impacts on regional vitality distribution, this study, reflected on Space Syntax, proposes a framework to assess exterior-renovation strategies at both local street and global network scales, involving: 1) identifying visitor-preferred exteriors and quantifying them as entropy to measure streets’ local attractiveness; 2) weighting streets by entropy to compute graph centralities for evaluating local attractions’ global impacts; and 3) employing the local, global, and Space Syntax metrics for regression analysis to reveal key contributors of visitor vitality. Taking the Chaozong historic district as a case, results reveal that current exterior strategies may constrain vitality to limited spaces, obscure visitor-perceived historical identity, and underscore the need to assess local attractions’ global impacts in relevant studies.</p>

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Investigating impacts of renovated exteriors in historic districts on visitor vitality through space syntax reflection

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月10日

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  • Wei Liao,
  • Peng’ao Liu,
  • Zihan Chen,
  • Su Liu

摘要

Historic districts in developing countries undergo regeneration to preserve heritage and revitalize economies. Renovated building exteriors, as highly visible spatial elements, enhance vitality and sustain historical identity. Given that few studies have quantitatively examined exteriors’ impacts on regional vitality distribution, this study, reflected on Space Syntax, proposes a framework to assess exterior-renovation strategies at both local street and global network scales, involving: 1) identifying visitor-preferred exteriors and quantifying them as entropy to measure streets’ local attractiveness; 2) weighting streets by entropy to compute graph centralities for evaluating local attractions’ global impacts; and 3) employing the local, global, and Space Syntax metrics for regression analysis to reveal key contributors of visitor vitality. Taking the Chaozong historic district as a case, results reveal that current exterior strategies may constrain vitality to limited spaces, obscure visitor-perceived historical identity, and underscore the need to assess local attractions’ global impacts in relevant studies.