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April 4, 2026Sustainable Cities and Society6 citationsOpen Access

When to Stop? A Visual Impact Assessment Framework for Incremental Urban and Community Expansion in Rural Heritage Landscapes

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YPYuyang PengSNSteffen NijhuisZWZhuoyue Wang

Key Points

  • This research aims to develop a Visual Impact Assessment (VIA) framework to determine acceptable change thresholds for urban expansion in heritage landscapes.
  • Developed a three-module VIA framework incorporating GIS and KOP methodologies.
  • Utilized time-series evidence to assess cumulative landscape changes.
  • Integrated public acceptability from questionnaires and expert interviews with behavioral evidence from VR tracking.
  • Established case-calibrated reference bands for decision support in urban planning.
  • Identified KOP-based construction intensity as a primary reference line for impact assessment.
  • Highlighted spatial character metrics and visibility diagnostics as essential screening tools.

Abstract

• VIA framework for impacts of incremental development in heritage landscapes • Combines expert views and public acceptability to set impact thresholds • Uses time-series evidence to capture cumulative landscape change • Integrates GIS visibility with eye-level KOP/SVI indicators • Provides case-calibrated reference bands to support review of further development Incremental urban and community expansion in rural heritage landscapes often produces cumulative visual impacts, yet planning rarely specifies a clear endpoint for acceptable change. This paper proposes an integrated Visual Impact Assessment (VIA) framework, aligned with SDG 11, to determine “when to stop” using stage-comparable evidence across past, present, and future conditions. The framework is organized in three modules. First, a point cloud-enhanced GIS module quantifies visibility and spatial change across development stages. Second, an enhanced Key Observation Point (KOP) module derives matched eye-level evidence from multi-temporal street-level panoramas and scenario visualizations, for example using Street View Imagery (SVI) time series and 3D Gaussian Splatting (3DGS) rendering. Third, a decision layer integrates structured public acceptability from a questionnaire covering different respondent groups with in-depth expert interviews and synthesis, with virtual reality (VR) eye- and head-tracking used as supportive behavioral evidence. Applied to the Middenbeemster expansion in the Beemster Polder, the Netherlands, the framework yields a case-calibrated reference package for decision support: KOP-based construction intensity serves as the primary reference line for review, perception indicators serve as supporting guardrails, spatial character metrics act as case-specific reference checks to protect the polder framework, and visibility diagnostics remain a necessary screening layer. More broadly, the framework provides a transparent and replicable procedure that can be transferred and locally recalibrated for heritage-sensitive rural-urban fringes where change is incremental and cumulative, supporting a stage-comparable VIA approach.

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Cite This Study

Peng et al. (2026) studied this question.

synapsesocial.com/papers/69d0aefd659487ece0fa4d11https://doi.org/10.1016/j.scs.2026.107364
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