12297 10 62628 4 194556 document 62628 System optimization model of adoption of a new infrastructure with multi-resource and multi-demand sites.pdf application/pdf 1a04849f7e3bd1b1307d28b4c1965166 MD5 306882 2016-08-23 11:43:27 https://pure.iiasa.ac.at/id/eprint/12297/1/System%20optimization%20model%20of%20adoption%20of%20a%20new%20infrastructure%20with%20multi-resource%20and%20multi-demand%20sites.pdf 12297 1 1 application/pdf text en public

System optimization model of adoption of a new infrastructure with multi-resource and multi-demand sites.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/62628 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/62628 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/62628 archive 2 disk0/00/01/22/97 2016-03-14 07:14:43 2021-08-27 17:26:14 2016-03-14 07:14:43 article show 1 Zhang Y. Chen H. Ma T. 1804 pub prog_tnt System optimization model; technology adoption; new infrastructure This study develops a conceptual system optimization model of adoption of a new infrastructure technology with multiple resource sites and multiple demand sites. With the model, this paper analyzes how the distance, spillover effect, demand, initial investment cost, and learning rate influence the adoption of the new infrastructure technology and presents optimization results of the model in different scenarios. The main findings of the study are: from the perspective of system optimization, (1) different distances among different resource-demand pairs will result in different adoption time of a new infrastructure; (2) technological spillover among different resource-demand pairs will accelerate the adoption of a new infrastructure; (3) it is hard to say that higher demand will pull faster adoption of a new infrastructure, and the optimal time of adopting of a new infrastructure is very sensitive to its technological learning rate. 2016 published Springer 10.1007/s11518-016-5302-8 191 public Journal of Systems Science and Systems Engineering 25 1 62-76 TRUE 1861-9576 FALSE no info:eu-repo/semantics/article