Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Walkability Simulator using a BI approach: a Lisbon Case Study
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence ; Urban pedestrian environment quality improvement is one of the city planners’ main focuses in achieving sustainable city planning. Further, physical activities (PA) such as walking may provide advantages to health, social and environmental aspects. Considering the factors aforementioned, this project explores the idea of walkability. This concept measures if an urban environment is favorable to pedestrians. Based on a solid framework for the walkability evaluation previously developed using a multi-criteria decision analysis approach (MCDA), this project proposes implementing a business intelligence (BI) solution using Power BI. According to the selected evaluation process and the 5Cs layout, which defends that a walkable environment has to be Connected, Convenient, Comfortable, Convivial, and Conspicuous, the nineteen most suitable criteria encompassing route condition, route safety, and route characteristics were defined. A conceptual model was created first, consisting of three main steps: overall requirements identification, data model architecture proposal, and dashboard proposal. An intensive data collection will be performed from multiple data sources, and several transformations will be done to prepare the data collected for further uses. In this project, three parishes are selected, namely Marvila, Beato, and Parque das Nações. Finally, a data visualization platform and a walkability simulator will be developed. The main idea is to give a clear view of each environment’s walkability level, improve the decision-making process, and provide accurate results in a fast and efficient manner. Analyze the cost-efficiency and effectiveness of an action that intends to improve the walkability of a particular street/ Area and help the city planners to build a more pedestrian-friendly environment.
A Walkability Simulator using a BI approach: a Lisbon Case Study
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence ; Urban pedestrian environment quality improvement is one of the city planners’ main focuses in achieving sustainable city planning. Further, physical activities (PA) such as walking may provide advantages to health, social and environmental aspects. Considering the factors aforementioned, this project explores the idea of walkability. This concept measures if an urban environment is favorable to pedestrians. Based on a solid framework for the walkability evaluation previously developed using a multi-criteria decision analysis approach (MCDA), this project proposes implementing a business intelligence (BI) solution using Power BI. According to the selected evaluation process and the 5Cs layout, which defends that a walkable environment has to be Connected, Convenient, Comfortable, Convivial, and Conspicuous, the nineteen most suitable criteria encompassing route condition, route safety, and route characteristics were defined. A conceptual model was created first, consisting of three main steps: overall requirements identification, data model architecture proposal, and dashboard proposal. An intensive data collection will be performed from multiple data sources, and several transformations will be done to prepare the data collected for further uses. In this project, three parishes are selected, namely Marvila, Beato, and Parque das Nações. Finally, a data visualization platform and a walkability simulator will be developed. The main idea is to give a clear view of each environment’s walkability level, improve the decision-making process, and provide accurate results in a fast and efficient manner. Analyze the cost-efficiency and effectiveness of an action that intends to improve the walkability of a particular street/ Area and help the city planners to build a more pedestrian-friendly environment.
A Walkability Simulator using a BI approach: a Lisbon Case Study
12.07.2022
203042271
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
710
Evaluating Walkability through a Multi-Criteria Decision Analysis Approach: A Lisbon Case Study
| DOAJ | 2021
Evaluating walkability through a multi-criteria decision analysis approach ; A lisbon case study
| BASE | 2021
| DataCite | 2014