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Virginia Tech

Multi-Scalar Perspective in Civic Architecture: Arlington Civic Center

Abstract

dc:description.abstract

In the field of urban planning, environmental psychology studies human relationship to places and settings, which are then categorized as the public's identities, attachments, and dependencies. Of interest to city planning, these findings can also be utilized in a design methodology. By giving particular attention to civic programs, this thesis presents a model for multi-scalar architecture and construction of place meanings. With urban, political, and historic networks contributing to place categories, ecological evolution provides developmental trajectories that can then be manifested through architectural design in civic and cultural institutions within city centers. From site selection through the design and execution of the project, the precedence is led by the people of past, present, and future, and the spaces they celebrate. The following is about the County of Arlington Civic Center, a multi-scalar perspective and design.

Degree

thesis:*
Name thesis:degree_name
Master of Architecture
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Architecture
Department dc:contributor.department
Architecture
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Marcum, Ann Marie
Chair dc:contributor.committeechair
  • Piedmont-Palladino, Susan C.
Committee members dc:contributor.committeemember
  • Feuerstein, Marcia F.
  • Holt, Jaan

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:3429
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/51686

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Marcum, Ann Marie. Multi-Scalar Perspective in Civic Architecture: Arlington Civic Center. masters thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51686