###### Abstract
The results demonstrate that local geographic, demographic, and operational conditions play a decisive role in determining whether the pneumatic collection will reduce energy requirements, produce more or fewer greenhouse gas emissions, and cost over the long-term criteria. [PERSON] et al. [19] stated that the initial capital costs of installing and operating a Pneumatic Urban Solid Waste Collection System (PUSWCS) are significantly higher than those of conventional collection systems. According to data from Envac Iberia SA, Ref. [20] a global leader in implementing these systems, the initial capital costs vary due to different configurations and layouts across municipalities, ranging between 12 and 18 million euros. These costs are higher than those of conventional systems, leading to greater total costs (including operations and debt service) for pneumatic systems, despite their lower labor requirements. The higher costs are mainly due to the extensive civil engineering efforts needed to install the infrastructure, especially in urban areas where complex trenches must be constructed. However, in new developments, these costs are lower as they are distributed among various required infrastructures. Despite the high implementation costs, PUSWCS require fewer personnel and vehicles for waste transportation [1]. [PERSON] et al. [21] highlighted that these systems offer a modern and efficient method of waste collection, improving urban aesthetics, optimizing selective collection at the source, reducing the cost per ton collected compared to conventional systems, and providing an intelligent service 24 h a day, 365 days a year. Although there is a general reduction in truck kilometers traveled, overall energy use, and greenhouse gas (GHG) emissions associated with the system, a detailed analysis is required to determine if these are lower compared to conventional methods. Additionally, to labor savings, pneumatic collection may allow space that would otherwise be required for waste storage, staging, and collection to be used for other beneficial purposes, thus producing savings or additional revenues. When conducting a life-cycle analysis that includes the energy use and GHG emissions associated with a pneumatic facility's fixed infrastructure, the overall carbon footprint for a pneumatic system is significantly greater than if only the energy use and greenhouse emissions associated with ongoing operations are considered. Finally, although these effects have nowhere been quantified in any inclusive way, all analysts thus far have assumed some degree of externality benefits regarding pneumatic systems (e.g., quality-of-life and public-health improvements) that may have monetary value. Given that pneumatic systems have greater external benefits due to their sustainability, it seems apparent that determining the most suitable pneumatic waste collection system for our city should be a priority. Hence, from here arises our research question: Would the use of a decision matrix facilitate the selection of the Pneumatic Urban Waste Collection System, optimizing its suitability for smart city projects? Based on this question, the main objective of the paper will be to develop an innovative decision matrix to guide the selection of a Pneumatic Urban Solid Waste Collection System (PUSWCS), optimizing its integration into smart city projects. This decision matrix, used as a system assessment tool, will include a management information system, decision support system, expert system, scenario development, material flow analysis, life cycle assessment, risk assessment, socioeconomic assessment, and sustainable assessment [4]. To achieve this objective, we will conduct comprehensive data collection related to pneumatic waste collection systems, considering technical, economic, and social aspects as explained. The literature suggests using multi-criteria decision-making (MCDM) methods to address this problem because these methods provide a structured approach to evaluate and prioritize multiple conflicting criteria [22].