Tourism traffic network optimization method based on resource balance benefits

Abstract

The invention discloses a tourism traffic road network optimization method based on resource balance benefits, which comprises the following steps of determining a road network area and extracting thebasic information in the road network, including the basic parameters, such as road network composition, etc.; establishing a social and economic benefit function based on the BPR road resistance function of the American federated highway bureau; quantizing the tourism economic radiation effect by utilizing the importance degree of tourism nodes, and establishing a tourism resource balance benefit function; establishing a green ecological benefit function based on the road network carbon emission; establishing a tourism traffic network multi-objective optimization model by taking the maximization of social economy, tourism resources and ecological environment benefits as objectives; and calling a gamultiobj function in MATLAB to solve by adopting a genetic algorithm. According to the invention, a system convenient decision-making method is provided for the tourism traffic network optimization, on one hand, a special tourism traffic network optimization method is perfected, on the other hand, the influence of the scenic spot (group) radiation effect on the balance of tourism traffic resources is considered, and the model form and the calculation process are simplified.

Description

technical field [0001] The invention relates to a road network optimization method based on resource balance benefits, which is used for tourism traffic network planning and belongs to the field of traffic transportation planning and management. Background technique [0002] At present, a series of achievements have been made in the research on the optimization and evaluation system of ordinary road network at home and abroad. For example, in terms of road network layout optimization, there are arc decomposition models based on dynamic traffic allocation, weighted complex network models, and bi-level development planning models; in terms of model solving, there are new algorithms such as BPNN-MOP method and gene expression . However, most of the research on tourism traffic is limited to the management level, such as the traffic organization optimization strategy of city-scene-dependent and island-type scenic spots based on demand identification technology, the analysis of t...

AI Technical Summary

Problems solved by technology

However, most of the research on tourism traffic is limited to the management level, such as the traffic organization optimization strategy of city-scene-dependent and island-type scenic spots based on demand identification technology, the analysis of the influence of scenic location and tourist traffic tickets on passenger flow, and the analysis of expressways. Establishment of VAR correlation model with tourism economy

The planning of the tourism traffic road network is very limited, the consideration factors are not comprehensive enough and the calculation process is relatively cumbersome, so it is difficult to guarantee the systematization and convenience of the road network optimization model

For example, there are currently many road network optimization models based on the collaborative optimization of tourism resources, the coupling and coordination mechanism of self-driving tour development, and resource accessibility, but these models often ignore factors such as policies in construction, ecology, and radiation effects of scenic spots (groups). Therefore, the optimization of the regional tourism transportation network lacks a certain system and pertinence, and it is difficult to meet the growing demand for tourism transportation development.

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