Chia Ching Yen
Terminal to the New Media Age
Architectural Interface between People and Cyberspace
Undergraduate thesis studio, 2015
Type / Architecture, Transportation Complex
Site / Haneda Airport, Tokyo, Japan
Advisor / Ming-Wei, Huang
1-0 Architecture, Still a Place for Knowledge Activities?
The importance of public spaces in urban life is an issue that has been apparent since ancient Greece and is still with us today. Opportunities to meet and exchange ideas in these spaces are able to influence how the inhabitants participate in the development of their city, and occur in greater instances when public spaces are accessible to everyone.
Nowadays, most of information ave been encoded into digital format, being accessible on the Internet. People start to inquire what they need on the Internet instead of other people. The Internet is still expanding, and what will physical spaces transform into in response to this phenomenon?
In this project, I answered the question with a hypothetical airport terminal, replacing one of two existing domestic terminals at Haneda Airport in Tokyo.
Tokyo was originally a fishing village called Edo. It was first fortified by the Edo Clan in the 12th century and 200 years later the famous Edo Castle was built there. In 1509, the city became the center of government when Tokugawa Ieyasu became Shogun and made it his hometown. During this time, the city grew fast and counted one million inhabitants with the beginning of the 18th century.
After WWII, the city was successfully rebuilt and chosen to hold the Summer Olympics 1964. The 1970s brought a massive development and the population increased up to 11 million – after the war, it counted only 2.8 million.
Now Tokyo is one of the most influential places in commercial and cultural aspects. Along with its well-established transportation system, I believe it’s an ideal place to place this experimental project in this mega city.
1-1 The Formation of Mega City
1-2 Shift of Urban Formation Paradigm
1-3 Airport, a Place Isolated from the Urban Context and Ruled by Machines
Tokyo was originally a fishing village called Edo. It was first fortified by the Edo Clan in the 12th century and 200 years later the famous Edo Castle was built there. In 1509, the city became the center of government when Tokugawa Ieyasu became Shogun and made it his hometown. During this time, the city grew fast and counted one million inhabitants with the beginning of the 18th century.
After WWII, the city was successfully rebuilt and chosen to hold the Summer Olympics 1964. The 1970s brought a massive development and the population increased up to 11 million – after the war, it counted only 2.8 million.
Now Tokyo is one of the most influential places in commercial and cultural aspects. Along with its well-established transportation system, I believe it’s an ideal place to place this experimental project in this mega city.
1-4 Intervention of Cyberspace
There are inevitable waiting time at airports, which are caused by procedure of luggage. Special theaters are intently placed at the routes connecting the lobby and counters of security inspection, where passengers are forced to go through and stay for a while.
1-2 Airport, a Place Isolated from the Urban Context and Ruled by Machines
1-5 Anatomy of a Terminal
Beside giant theaters, most of required functions of a terminal are compacted into 12-floor buildings, where 7 floors of them are underground mechanical parking space. There are 4 theaters and these 6 common-function building, arranged in a A-B-A sequance.
1-5 Passenger Flow Model
Gathered statistics data from several sources, including :
1. Motohiro A. (2006) A study on construction of travel model to HANEDA airport and examination of improvement policy of transit service to HANEDA Airport
2. Ministry of Land, Infrastructure, Transport and Tourism (2014), Airport Statistics, Japan
3. Train and Bus schedules
I can estimate the passengers’ flow and their arriving method, destination(gates of flights). The flow model is used for aiding the design in the later part.
1-7 Agent-based Crowd Simulation
To simulate passengers’ flow, each agent of a crowd is given a degree of intelligence to react to each situation on their own based on a set of decision rules. The implementation is done with Processing 3 in Python mode.
To view source code, please check GitHub
1-8 Adaptive Physical Cyberspace
With the model of passengers’ flow, their distributions at any time are estimable. By executing the OPTICS clustering algorithm, one or more clusters will be recognized. The floating projection screens will relocate accordingly, adjusting their displayed content. As a result, sub-division of space with various topics emerge.
