Erin Welsh's portfolio showcases her passion and skills in architecture. Over her first two years of study, she has gained a greater appreciation for the field through learning basic skills and comprehending technical concepts. Her work demonstrates her ability to analyze sites, create technical drawings, and design architectural elements. She strives to continually increase her knowledge and push her design abilities further.
This document discusses spatial analysis techniques to study migration flows in Italy using municipal level data from 1991 to 2007. It uses traditional indexes like the efficacy index of migration and location quotient to assess territorial differences in migrant populations. Spatial autocorrelation is then analyzed using Moran's I, scatter plots, and Local Indicators of Spatial Association (LISA) to identify clusters of high and low values. Three main clusters emerged - a high-high cluster in northeast Italy correlated with employment opportunities, a central high-high cluster, and a southern/island low-low cluster with low incomes and few jobs. Comparing LISA maps over time showed trends in migration patterns correlated with regional economic performance.
A document discusses collaborative e-governance and outlines some key ideas:
1) Collaborative planning processes supported by scientific research tend to create powerful internal networks that can influence policymakers. Participation is different from true collaboration which emphasizes outputs, outcomes, and building social capital.
2) Process thinkers emphasize assessing the performance of collaborative planning by looking at outcomes like social capital, institutional capacity, and innovation rather than just outputs. Science can lead to social outcomes when done collaboratively.
3) Early views of e-governance saw it creating more transparent and cheap interaction between governments and citizens, but the boundaries are messy in reality. Local e-governance studies found poorer cities have more inform
Erin Welsh's portfolio showcases her passion and skills in architecture. Over her first two years of study, she has gained a greater appreciation for the field through learning basic skills and comprehending technical concepts. Her work demonstrates her ability to analyze sites, create technical drawings, and design architectural elements. She strives to continually increase her knowledge and push her design abilities further.
This document discusses spatial analysis techniques to study migration flows in Italy using municipal level data from 1991 to 2007. It uses traditional indexes like the efficacy index of migration and location quotient to assess territorial differences in migrant populations. Spatial autocorrelation is then analyzed using Moran's I, scatter plots, and Local Indicators of Spatial Association (LISA) to identify clusters of high and low values. Three main clusters emerged - a high-high cluster in northeast Italy correlated with employment opportunities, a central high-high cluster, and a southern/island low-low cluster with low incomes and few jobs. Comparing LISA maps over time showed trends in migration patterns correlated with regional economic performance.
A document discusses collaborative e-governance and outlines some key ideas:
1) Collaborative planning processes supported by scientific research tend to create powerful internal networks that can influence policymakers. Participation is different from true collaboration which emphasizes outputs, outcomes, and building social capital.
2) Process thinkers emphasize assessing the performance of collaborative planning by looking at outcomes like social capital, institutional capacity, and innovation rather than just outputs. Science can lead to social outcomes when done collaboratively.
3) Early views of e-governance saw it creating more transparent and cheap interaction between governments and citizens, but the boundaries are messy in reality. Local e-governance studies found poorer cities have more inform
This document discusses a methodology for aggregate analysis of building evacuations. It begins by classifying pedestrian evacuation tools based on the perspective of the model and users, the modelling method, structure of supply models, and measurable outputs. It then discusses using a macroscopic approach for modelling evacuations, representing the demand and supply models topologically as graphs, and computing evacuation time based on guidelines from the International Maritime Organization.
The document discusses decision support systems (DSS) for evacuation planning. It describes the key components and features that a DSS for supply-demand modeling should include. The DSS should allow users to define parameters, integrate with other models and databases, build and visualize the transportation network, and output various indicators to analyze demand-supply interactions and system evolution over time. Tables compare the capabilities of different DSS software applications according to these criteria.
This document discusses decision support systems and software that can be used to model evacuation demand and assist with transportation planning during emergencies. It describes several transportation modeling software packages that can be used to simulate demand through submodels of generation, departure time, distribution, modal split, and path choice. It also discusses the use of revealed preference and stated preference surveys to develop and calibrate demand models when real evacuation data is limited.
This document discusses a methodology for aggregate analysis of building evacuations. It begins by classifying pedestrian evacuation tools based on the perspective of the model and users, the modelling method, structure of supply models, and measurable outputs. It then discusses using a macroscopic approach for modelling evacuations, representing the demand and supply models topologically as graphs, and computing evacuation time based on guidelines from the International Maritime Organization.
This document discusses a methodology for aggregate analysis of building evacuations. It begins by classifying pedestrian evacuation tools based on the perspective of the model and users, the modelling method, structure of supply models, and measurable outputs. It then discusses using a macroscopic approach for modelling evacuations, representing the demand and supply models topologically as graphs, and computing evacuation time based on guidelines from the International Maritime Organization.
The document discusses decision support systems (DSS) for evacuation planning. It describes the key components and features that a DSS for supply-demand modeling should include. The DSS should allow users to define parameters, integrate with other models and databases, build and visualize the transportation network, and output various indicators to analyze demand-supply interactions and system evolution over time. Tables compare the capabilities of different DSS software applications according to these criteria.
This document discusses decision support systems and software that can be used to model evacuation demand and assist with transportation planning during emergencies. It describes several transportation modeling software packages that can be used to simulate demand through submodels of generation, departure time, distribution, modal split, and path choice. It also discusses the use of revealed preference and stated preference surveys to develop and calibrate demand models when real evacuation data is limited.
This document discusses a methodology for aggregate analysis of building evacuations. It begins by classifying pedestrian evacuation tools based on the perspective of the model and users, the modelling method, structure of supply models, and measurable outputs. It then discusses using a macroscopic approach for modelling evacuations, representing the demand and supply models topologically as graphs, and computing evacuation time based on guidelines from the International Maritime Organization.