Data · dataset · 2006
Impacts of Residential Self-Selection and Rapid Rail Transit Proximity on Commute Mode Choice: a Study of Taipei Rapid Rail Transit
Listed in Harvard Dataverse
The current of transit oriented development (TOD) was developed to a large degree for achieving thegoal of sustainable development.
Description
Within this context, this empirical research explores the impacts of two home- and workplace-location- related variables on traveling by rapid rail transit for work and non-work trips: residential self-selection of living near rapid rail transit stations (residential self-selection for short), as well as residential and workplace proximities to rapid rail transit stations (residential and workplace proximities for short.) Research hypotheses are threefold: first, both residential self-selection and residential and workplace proximities influence workers\' decision on commuting by rapid rail transit.
Second, both residential self-selection and proximities increase workers’ probability of riding rapid rail transit for work. Third, the travel behavior of commuting by rapid rail transit increases the chance of the taking advantage of it for other trip purposes. To conduct this research, Taipei Rapid Transit Cooperation rapid rail transit system was selected to conduct a station-area passenger survey in September 2004, with responses from 558 passengers.
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The sampling method was multistage cluster sampling. Analysis results show that Analysis methods include binomial logit model and spatial analysis. Other than hypothesis testing, research results are also expected to reveal descriptive information on trips (purposes, origins and destinations, and transportation modes to/from transit stations), spatial pattern of residential and workplace locations, and unmet residential needs near transit stations.
Policy implications would then be developed for land use plan around transit station areas such as TOD, and for transportation policy for rapid rail transit system.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E93035-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e93035-1 ↗
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
- Transport planning 76%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E93035-1 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:330409 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (76%) |
| 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 |