Dwelling Beyond: Sustainable Design On Mars

In 1620, over the course of 66 days, 102 passengers called the Mayflower their home before arriving and settling in Plymouth, New England. In the years following the Louisiana Purchase of 1803 nearly 7 million people traversed extreme wilderness in covered wagons to found and settle the American West. This year, 2015, the first spaceport has opened in anticipation of sub orbital space flights in 2017 and manned settlement flights to mars by 2026. This thesis explores the questions: In this next phase of human exploration and settlement, what does it mean to dwell beyond earth? What are the current architectural limitations regarding structure and material sustainability? And, How can architecture elevate the traditionally sterile environments of survival shelters to that of permanent dwellings?

A Ride-Sharing System with High Capacity Vehicles and Flexible Meeting Points

In many major cities, fixed route transit systems such as bus and rail serve millions of trips per day. These systems have people collect at common locations (the station or stop), and board at common times (for example according to a predetermined schedule or headway). By using common service locations and times, these modes can consolidate many trips that have similar origins and destinations or overlapping routes. However, the routes are not sensitive to changing travel patterns, and have no way of identifying which trips are going unserved, or are poorly served, by the existing routes. On the opposite end of the spectrum, personal modes of transportation, such as a private vehicle or taxi, offer service to and from the exact origin and destination of a rider, at close to exactly the time they desire to travel. Despite the apparent increased convenience to users, the presence of a large number of small vehicles results in a disorganized, and potentially congested road network during high demand periods. The focus of the research presented in this paper is to develop a system that possesses both the on-demand nature of a personal mode, with the efficiency of shared modes. In this system, users submit their request for travel, but are asked to make small compromises in their origin and destination location by walking to a nearby meeting point, as well as slightly modifying their time of travel, in order to accommodate other passengers. Because the origin and destination location of the request can be adjusted, this is a more general case of the Dial-a-Ride problem with time windows. The solution methodology uses a graph clustering algorithm coupled with a greedy insertion technique. A case study is presented using actual requests for taxi trips in Washington DC, and shows a significant decrease in the number of vehicles required to serve the demand.