Work

Modeling Study of Multi-objective Genetic Algorithm for Balancing Carbon Emissions and Economic Benefits in Urban Tourism: A Case of Juneau

Year: 2025

Type: conference-paper

Abstract: With the rapid growth of global tourism, some cities face challenges in balancing economic benefits, environmental protection, and social stability. This study develops a self-adaptive multi-objective optimization model to help govern- ments achieve sustainable tourism development. Taking Juneau (USA) as case studies, a four- dimensional evaluation system covering economic revenue, carbon emissions, infrastructure pressure, and resident satisfaction was constructed. The model integrates a feedback mechanism and genetic algorithm for iterative optimization. Results show that Juneau achieves optimal balance at 8,200 tourists with an expenditure ratio of 1:5:4. Sensitivity analysis identifies economic and resident satisfaction weights as primary determinants, while carbon emissions and infrastructure pressure act as negative factors.

Source: International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC)

DOI: 10.1145/3745533.3745562

Authors: Jiansheng Wang, Shiyang Guo, Wei Peng

Institution: China University of Mining and Technology

Language: English

Topic: Diverse Aspects of Tourism Research

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Climate action

Open Access status: hybrid

OpenAlex ID: W4413521387

FWCI:

Cites: 8

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Related to: 10