Data · dataset · 2010
A Study of Integrating the Principles of New Urbanism with Urban Development Indicators for Achieving Community Sustainability: Case of the Communities in Beitou District Taipei
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After the Industrialization, economic and population growth and technological advances are able to facilitate quality of life.
Description
However, the growth and the advanced in turn result in many environmental issues, such as increasing traffic congestion and air pollution, and rising per capita energy consumption, for us to deal with. To ease these adverse impacts, planners have adapted many development strategies, such as New Urbanism and Transit-oriented development, to save energy usage and to reduce congestion and pollution.
Among these, the United Nation in 1992 revealed Agenda 21 and its chapter 28 required more than 51 countries to establish Local Agenda 21 for gauging the sustainable development progress. To respond to this challenge, Taipei city government in year 2000 initiated an urban indicator system based on the 1988’s Urban Indicators Programme to gauge Taipei’s urban sustainability. 48 performance measures were selected from a group of 118 draft indicators based on Taipei Agenda 21.
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However, this set of indicators was established at city scale and was not totally suitable for applying at the neighborhood scale. To define a set of indicators for sustainable community development, this study aims to understand the causalities and the trade-off relationships between indicators based on New Urbanist Development Concept, through statistical analyzing and integrating the theories of urban design, time geography, and activity-travel patterns.
The selection of indicators is derived from interviewing and questionnaire surveys. Statistical examination of a set of environmental variables based on 17 Beitou’s neighborhoods shows that the more the high-rise buildings above 6 floors, the higher the sense of community, which in turn fosters a “self-organizing” sustainable community. To facilitate a “self-sustaining” community, this study also finds that the closer the distance from transit station, together with the higher the persons per household and the higher the degree of mixing land uses, the shorter of the daily travel distance.
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- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E96052-1 ↗
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- DOI doi.org/10.6141/tw-srda-e96052-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
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Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E96052-1 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |