Optimisation of Resource Allocation for Invasive Alien Species Surveillance Based on Bi-level Programming

DOI

10.2991/978-94-6463-888-2_13How to use a DOI?

Keywords

Invasive alien species; Resource allocation; Bi-level programming; Bursaphelenchus xylophilus; Uncertainty

Abstract

Surveillance of invasive alien species critically safeguards national biosecurity. Using Bursaphelenchus xylophilus as our case study, this paper address cross-regional transmission and infection uncertainty through a bi-level programming model for surveillance resource allocation. This enables efficient multi-level governmental deployment. The upper-level model aims to maximize the number of infested counties detected, enabling the superior government to delineate pest dispersal boundaries. The lower-level model seeks to maximize the number of infested sites detected within jurisdictions, assisting local governments in implementing refined surveillance of outbreaks. Multiple invasion probability scenarios are introduced to characterize the stochastic risk of the pest spread. An approximate linearization method is employed to transform the model into a mixed-integer programming formulation, so that it can be solved by using backward induction. Test results demonstrate that the bi-level programming model effectively expands the number of monitoring sites. It achieves risk-resource balance by dynamically adapting inter-tier allocation ratios in complex environments. Furthermore, the detection capacity of local governments directly shapes resource allocation between the two levels.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yitong Wang
PY  - 2025
DA  - 2025/12/03
TI  - Optimisation of Resource Allocation for Invasive Alien Species Surveillance Based on Bi-level Programming
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 100
EP  - 107
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_13
DO  - 10.2991/978-94-6463-888-2_13
ID  - Wang2025
ER  -