Dear Colleagues,

Timber is a major building material that has been used in the construction of buildings for thousands of years due to its durability, sustainability, maintainability, and comfort. Indeed, timber is key for the development of cities and towns. However, wood buildings require a large amount of forest resources, which causes significant issues for the environment and for the climate. Solutions to this problem require a deep understanding of timber materials, building structures, the environment, and weather conditions. That is, we need to turn guesswork around how to maintain our buildings earlier into more precise measurement and calculation of the evolution of buildings. Thanks to great advancements in sensor technologies, information technologies, and data analysis technologies, such as machine learning, over the past few decades, an enormous number of sensors have been installed in various buildings and related constructions in cities, which enable researchers and builders to analyze and scrutinize various parts and components of buildings and develop a great collection of methods to maintain buildings. For the last decade, fast-growing research activities have taken place, applying advanced data analysis methods to the use of timber in cities.

The aim of this Special Issue is to publish the current advances in the field of monitoring, controlling, measuring, and modeling timber materials and their use in cities with modern data analysis technologies, also including building materials such as bamboos and rattans. This Special Issue provides a unique opportunity to present the latest knowledge in this field of research, development, and application.

We are pleased to invite you to present your research and development outcomes in the form of research articles or reviews in the following areas:

1. Data models for timber constructions;
2. Data analysis approaches to buildings in cities;
3. Moisture transfer patterns for wood constructions;
4. Weather impact patterns for timber buildings;
5. Relation models of climates and constructions;
6. Machine learning methods in timber structures in cities;
7. Digital manufacturing of building materials of timber–bamboo.

Prof. Dr. William Wei Song
Dr. Xiaohuan Wang
Dr. Meiling Chen
Guest Editors

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• timber in cities
• moisture transfer patterns
• data modeling for buildings
• data analysis methods for building durability
• climate and constructions
• machine learning for buildings
• timber–bamboo materials