No abstract

The protection and utilization of ecological environment are very important for urban and rural development. At present, a large number of relevant theoretical and practical explorations have been carried out, which confirms the important conclusion that lucid waters and lush mountains are invaluable assets. The sustainable development of ecological environments is based on coordination with human production and life. In this paper, by constructing an accounting system for the gross ecosystem product (GEP) applicable to Hanwang town, using the market value method, the alternative cost method, the travel cost method, the willingness to pay method and other technical methods, the GEP of Hanwang town is calculated from three aspects: product supply, regulation service and cultural tourism. Finally, the spatial distribution characteristics of value are used to guide the development and layout of ecological industry in Hanwang town. The results showed that the total ecosystem product value of Hanwang town in Xuzhou was relatively high, reaching 1.165 billion CNY, with per capita reaching 30 million CNY, which was 49.16% of the town’s GDP in 2020. The value of cultural tourism is 820 million CNY, the value of regulatory services is 239 million CNY, and the value of product provision is 106 million CNY. The ecological value of Hanwang town varies greatly in spatial distribution. On the whole, the price is low in the southwest, but high in the northeast. The high-value areas are mainly concentrated in three areas: Yudai River Riverside, Xuzhou Paradise in the north, Hanwang Scenic Spot in the middle and the Panaxi Valley tourist spot in the south. Based on the principle of ecological value transformation, combining with the spatial distribution characteristics of ecological value in Hanwang town, four modes of promoting ecological value transformation were proposed: ecological industrialization management, ecological governance and value promotion, ecological resource index trading and ecotourism. This paper preliminarily explores a method to calculate and transform the value of ecological space, which provides feasible concrete strategies for the protection of ecological space and the development of ecological industry in towns.

Considering that the demand of tourism destination is variable on the scale of urban agglomeration, the selection process of travel destination is divided into two stages. The traditional transportation combination model based on the multinomial Logit cannot reflect this characteristic. And it is the lack of consideration of the influence of travel distribution and the dynamic transfer of passenger flow between various transport routes. Therefore, this thesis established a combination model of travel demand distribution and transportation assignment with two-stage terminal selection characteristics based on the nested Logit. Based on the analysis of tourists' trip process on the scale of urban agglomeration, a tourist flow transport network with travel destination nest structure is constructed. The generalized cost impedance function of transportation route is constructed based on the direct cost of transportation mode and the indirect cost of travel time. Based on the characteristics of two-stage destination selection of tourists, the form of travel distribution function of tourist flow is given. Through the first-order optimization conditions, it proved that the volume of travel distribution and tourism passenger transport assignment can meet the two-stage equilibrium conditions in the equilibrium state. Based on the idea of MSA algorithm, it designed the solution algorithm of the model and verified the feasibility of the model and algorithm in a simplified example. The calculation results show that the two-stage equilibrium assignment model proposed in this paper can obtain the volume of travel distribution and transportation assignment at the same time, meanwhile compared with the multinomial logit model, the nested Logit structure fully considers the attraction measure of the city destination and the scenic spot destination, which is more in line with the choice behavior of the tourists when choosing the transportation route. Thus, it provides a new comparable method for the optimal allocation of tourism passenger flow transport network resources on the scale of urban agglomeration, and can provide data support for the transportation organization plans of government decision-making departments and tourism transport enterprises.