Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles
We measure the effect of San Francisco’s technology firm commuter shuttles on rents utilizing a kernel density estimation approach. To model the effects of job accessibility improvements that the shuttles provide, we capture the influence of each shuttle stop in terms of the number of jobs that shut...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2019-02-01
|
| Series: | Findings |
| Online Access: | https://doi.org/10.32866/5100 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849692241615912960 |
|---|---|
| author | Matthew Palm Deb Niemeier |
| author_facet | Matthew Palm Deb Niemeier |
| author_sort | Matthew Palm |
| collection | DOAJ |
| description | We measure the effect of San Francisco’s technology firm commuter shuttles on rents utilizing a kernel density estimation approach. To model the effects of job accessibility improvements that the shuttles provide, we capture the influence of each shuttle stop in terms of the number of jobs that shuttle connects to in Silicon Valley and the market capitalization of the companies served. We compare these results to baseline models with simple distance measures. Our models identify a strong correlation between commuter shuttles and rents, suggesting that the effects of private shuttles can be anticipated without measuring the job accessibility gains they provide. |
| format | Article |
| id | doaj-art-fdd95e0b6a8c44958e55b2b2c73bc921 |
| institution | DOAJ |
| issn | 2652-8800 |
| language | English |
| publishDate | 2019-02-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-fdd95e0b6a8c44958e55b2b2c73bc9212025-08-20T03:20:46ZengFindings PressFindings2652-88002019-02-0110.32866/5100Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech ShuttlesMatthew PalmDeb NiemeierWe measure the effect of San Francisco’s technology firm commuter shuttles on rents utilizing a kernel density estimation approach. To model the effects of job accessibility improvements that the shuttles provide, we capture the influence of each shuttle stop in terms of the number of jobs that shuttle connects to in Silicon Valley and the market capitalization of the companies served. We compare these results to baseline models with simple distance measures. Our models identify a strong correlation between commuter shuttles and rents, suggesting that the effects of private shuttles can be anticipated without measuring the job accessibility gains they provide.https://doi.org/10.32866/5100 |
| spellingShingle | Matthew Palm Deb Niemeier Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles Findings |
| title | Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles |
| title_full | Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles |
| title_fullStr | Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles |
| title_full_unstemmed | Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles |
| title_short | Measuring the Effect of Private Transport Job Accessibility on Rents: The Case of San Francisco’s Tech Shuttles |
| title_sort | measuring the effect of private transport job accessibility on rents the case of san francisco s tech shuttles |
| url | https://doi.org/10.32866/5100 |
| work_keys_str_mv | AT matthewpalm measuringtheeffectofprivatetransportjobaccessibilityonrentsthecaseofsanfranciscostechshuttles AT debniemeier measuringtheeffectofprivatetransportjobaccessibilityonrentsthecaseofsanfranciscostechshuttles |