This work shares the research carried out on the modeling and simulation of linear dipole arrays. A generalized modeling is achieved, based on the models developed from the Pocklington integral applied to Yagi Uda arrays. Starting from the models found, they are simulated using the Method of Moments, generalizing what was previously developed for Yagi Uda arrays and their results are compared with patterns obtained through the free MMANA GAL simulator and with those given by the antenna manufacturers. An excellent match is obtained for both the simple dipole patterns and the Yagi Uda type arrays, but poor agreement is obtained for the radiation patterns for the Log Periodic type arrays. En el presente trabajo se comparte la investigación realizada sobre la modelación y simulación de arreglos lineales de dipolos. Se llega a una modelación generalizada, basándose en los modelos desarrollados a partir de la integral de Pocklington aplicada a arreglos Yagi Uda. Partiendo de los modelos encontrados, se los simula usando el Método de los Momentos, generalizándose lo previamente desarrollado para arreglos Yagi Uda y se comparan sus resultados con patrones obtenidos mediante el simulador libre MMANA GAL y con los dados por los fabricantes de antenas. Se obtienen una excelente coincidencia tanto para los patrones de dipolos simples como para los arreglos tipo Yagi Uda, pero poca coincidencia para los patrones de radiación para arreglos tipo Log Periódico.

Expanding university campuses face a dual challenge: meeting higher internal travel demand while reducing congestion and emissions. Using stated-preference data (412 respondents; 9 choice tasks per person), this study quantifies the expected adoption of two low-emission micromobility options—bicycle and electric scooter—relative to walking and car for intra-campus trips at an Ecuadorian university. Under Random Utility Theory, we estimate a multinomial logit (MNL) and a panel mixed logit (MIXL) model, treating MIXL as the preferred specification. Simulated maximum likelihood with 12,000 draws shows MIXL substantially improves fit and reveals marked heterogeneity in time sensitivity. In out-of-sample prediction (TEST), the two prospective modes achieve comparable average choice probabilities (bicycle = 0.289; electric scooter = 0.286), with a joint acceptance of 0.575, supporting the feasibility of a micromobility program under the evaluated scenarios. Environmental impact (gCO₂/km) exhibits limited aggregate influence compared with operational factors (time and cost). A complementary WTP-space MIXL provides VOT estimates and confirms that 10–20% time reductions increase expected acceptance. Overall, results indicate that adoption is most likely when sustainability objectives are translated into tangible service improvements in effective speed, reliability, and affordability.