Identification of Habitat Improvement Needs and Construction Strategies for Traditional Villages Based on the Kano Model—Taking 112 Villages in Northeastern Hubei Province, China, as an Example
To address the misalignment between conservation–development policies and villagers’ needs in traditional villages, this study identifies core demands through a questionnaire survey in 112 villages across three counties in Hubei Province, China. An evaluation system encompassing public facilities, infrastructure, exterior environment, interior environment, and village culture (23 indicators) was analyzed using the Kano model and Better–Worse coefficients (211 valid questionnaires). Results reveal the primary needs ranking: village culture > exterior environment > interior environment > infrastructure > public services. Key findings show villagers prioritize traditional building conservation, cultural identity, and roof improvement, while certain public service investments (e.g., water supply, signage, education) yield lower satisfaction. Notably, villagers are indifferent to lighting improvements. This indicates a deviation from past government priorities and underscores the necessity of integrating villager perspectives into “top-down” decision-making for sustainable village development. The findings provide practical guidance for habitat improvement and precise policy formulation in Northeastern Hubei.
Authors
- Lei Yuan (ORCID: https://orcid.org/0000-0002-1136-5668)
- Yan Xu (ORCID: https://orcid.org/0000-0002-2636-7594)
- Liquan Xu (ORCID: https://orcid.org/0000-0003-2150-6097)
Institutions
- English Heritage (GB)
- Wuhan Engineering Science & Technology Institute (CN)
- Huazhong University of Science and Technology (CN)
- Hubei University of Technology (CN)
Publication Details
- Journal
- Land
- Published
- 2025-09-05
- DOI
- https://doi.org/10.3390/land14091809
- Citations
- 1
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- Huazhong University of Science and Technology