Data · dataset · 2001
An Empirical Research on the Optimal Size of Urban Mass Rapid Transit System in Tainan Metropolitan Area
Listed in Harvard Dataverse
The lack of theoretical foundation to the planning of the joint development of the mass rapid transit (MRT) station results in a doubtful land scale of development.
Description
In this study, we attempted to provide a theoretical base to derive the optimal land scale of the jointed development of MRT station. Without loss of generality, we assume that the profit distribution to the landowner, the investor and the authority is the same as the proportion of investment.
Two MRT stations according to the plan of Tainan MRT system were selected. One is located inside the urban area where the land value is normally high, while the other is located at the rural suburban. The optimal size is then empirically computed according to the change of land value before and after the development.
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It is find that the land value before developing and the increasing rate significantly affect the optimal scale of the joint development of the MRT station. The optimal scale increases with land value when it is low and decreases with land value when it is high. We also find that the release of the floor ratio control increase the optimal scale with decreasing marginal effects.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E88059-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e88059-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Urban and regional planning 74%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E88059-1 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3304 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
| 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 |