An Investigation of Condominium Property Value Uplift around Light Rail Transit Stations Using a Hedonic Pricing Model
Bibliographic record
Abstract
Abstract This paper aims to investigate the impact of proximity to the nearest light rail transit station on the value of condominium properties in Greater Kuala Lumpur, Malaysia. The paper utilizes a data set of 476 condominium sales occurring in Greater Kuala Lumpur between January 2017 and the second quarter of 2018. Using a hedonic pricing model, housing price was modelled as a function of proximity to the nearest light rail transit station and with regard to other structural and locational attributes. The results suggest that condominium units located within 800 m to the nearest light rail transit station can earn a premium of MYR 172,904 (US$43,226), or 30% of the city’s average home value. The results of this study also indicate that in determining property values, proximity to the nearest light rail transit station is the second-most influential variable compared to other variables. This paper represents an original contribution to the literature in that there has been limited research on the impact of proximity to light rail transit stations on condominium prices in developing countries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".