Fat tailed distributions of the spatial metrics of urban organization of Metro Manila, Philippines

We investigate the emergent features of urban spatial organization through a statistical analysis of spatial metrics relating to the distribution of the physical structures in the cities and the nature of their interactions. The spatial characterization, which involves the spatial separation of the buildings and the layout of the roads, is employed on two component cities of Metro Manila, the National Capital Region of the Philippines. Our results show fat-tailed distributions that are statistically different from the normal (Gaussian) distribution with the same mean and variance as the data, which is the expected distribution for a null, memoryless condition. The emergence of scale free regimes, therefore, suggests the inherent memory in the spatial organization of urban forms in self-organized cities

117 hotline call center training program

This thesis paper aims to establish a standardized training program to be used in training newly accepted call center operators for the Foundation for Crime Prevention\u27s (FCP) major collaborative program, the 117 hotline. By having a training program of their own, FCP will be able to conduct their own training without being dependent on external organizations such as DILG and PLDT. The construction of the training program has been based on the Training Program Template (2002) provided by the Technical Education and Skills Development Authority (TESDA). By conforming to TESDA\u27s training program format, the organization is assured of compliance with the minimum training standards of the call center industry

Quantifying the organization of urban elements through the statistical distributions of their spatial spreading metrics

We probe the underlying organization emerging out of the growth of urban settlements by using various measures that quantify their spatial spreading. In particular, we report the emergence of fat-tailed regimes in the distributions of the three metrics we investigated in the case of the self-organized Metro Manila conurbation: (1) the city road lengths and the areas of road-bounded blocks; (2) the Voronoi areas, the effective “areas of influence” of each of the buildings in the city; and (3) the k role= presentation style= box-sizing: border-box; margin: 0px; padding: 0px; display: inline-block; line-height: normal; font-size: 16.2px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; position: relative; \u3ek-nearest-neighbor (kNN) distances of economic structures in the city. Statistical goodness-of-fit tests are conducted to obtain representative decaying power-law trends for these fat-tailed distributions, as a first approximation for the scaling behavior, particularly at the largest scales. The obtained distributions are found to differ significantly from the corresponding results generated from memoryless null models. The key insights from these data analyses add to the growing literature on quantitative characterizations of urban zones, and may help uncover the underlying mechanics responsible for growth