Abstract
Abundant natural resources are the basis of urbanisation and industrialisation. Citizens are the key factor in promoting a sustainable supply of natural resources and the high-quality development of urban areas. This study focuses on the co-production behaviours of citizens regarding urban natural resource assets in the age of big data, and uses the latent Dirichlet allocation algorithm and the stepwise regression analysis method to evaluate citizens’ experiences and feelings related to the urban capitalisation of natural resources. Results show that, firstly, the machine learning algorithm based on natural language processing can effectively identify and deal with the demands of urban natural resource assets. Secondly, in the experience of urban natural resources, citizens pay more attention to the combination of history, culture, infrastructure and natural landscape. Unique natural resource can enhance citizens’ sense of participation. Finally, the scenery, entertainment and quality and value of urban natural resources are the influencing factors of citizens’ satisfaction.
Highlights
We simulated and trained the big data of urban natural resource assets comments and obtained the perplexity degree diagram of urban natural asset evaluation simulated by LDA
This study finds that, in addition to the scenery of urban natural tourist sites, citizens’ co-production of urban natural resource assets is reflected in the entertainment and Quality & value (Q&V) of scenic sites
Factors Affecting the Evaluation of Urban Natural Resource Assets In the formula shown in Section 3.2, we find that the rating data serve as the most direct indicators reflecting citizens’ perceptions of urban natural resource assets
Summary
Capitalisation and Economic Value of Urban Natural Resources. Urban natural resources are an important factor in determining regional economic security and social development. Due to variations in natural and economic geographies in different regions, the factor endowment of urban natural resources tend to vary. Urban natural resources are nonexcludable, competitive and decaying. They are called common-pool resources (CPR) in urban development and include land, forest, pasture, water, wetland, mineral resources, and so on. One of the most difficult problems faced by the government or public sector managers is how to achieve the optimal allocation as well as the long-term and healthy development of limited CPR (Hardin, 2009; Grainger & Costello, 2014). Natural resources may involve various property rights of different stakeholders, whilst citizen behaviours driven by rationality may cause
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