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No Free Ride for Airbnb – Tenants Together Action Fund

Sign this Petition!
Now!

Before it’s too late…

No Free Ride for Airbnb – Tenants Together Action Fund.

Companies like Airbnb are exacerbating California’s affordable housing crisis, but lawmakers in Sacramento want to give the company a free ride.

Assemblymember Matt Harper — an Orange County Republican — has introduced AB1220, a bill that prohibits cities from collecting taxes on short term residential rentals, like those rented through AirBnB.

Sign on to tell your Assemblymember to support affordable housing, not handouts to Airbnb: reject AB1220.

The explosion in short term rentals through AirBnB is decreasing long term rental stock in California, and driving up prices. And in many California cities, there are laws against converting scarce housing resources to tourist use. Using political influence, Airbnb has engaged in a systematic campaign to dismantle those laws and avoid paying any taxes to offset their impact. Now, Airbnb is taking their lobbying efforts to the state level, and this bill could exempt the company from local taxes.

It’s bad enough cities are losing valuable rental housing stock. The least AirBnB and the property owners that use it can do is pay their fair share.

We can kill this bill if we let Democrats in Sacramento know we are watching. Democrats control the legislature, but history shows they will quietly pander to special interests like Airbnb unless we expose this.

This bill could be heard any day in the Assembly Committee on Local Government. If enough of us speak out right now, we can make sure this bill never makes it out of Committee. But we have to act now or you can be guaranteed that Assemblymembers will push it forward.

Sign on right now to tell your Assemblymember to reject AB1220.

Posted in airbnb, business bastards, corporate welfare, Gentrifucked, Sharing Economy, Sharing Economy Bullshit, Take Action | Leave a comment

Airbnb Charts for San Francisco March 24 2015

(these are reprinted from previous post: Airbnb Raw Data, San Francisco, March 24 2015

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Counting Bedrooms and Beds

AHOU shared Count TotBdrms TotBeds Per Unit Bdrms Per Unit Beds
Apartment NO 2335 3011 4065 1.29 1.74
Apartment YES 1257 1257 1491 1.00 1.19
House NO 629 1465 1753 2.33 2.79
House YES 701 701 939 1.00 1.34
Other NO 28 46 73 1.64 2.61
Other YES 108 108 194 1.00 1.80
Unknown NO 7 10 12 1.43 1.71
Unknown YES 2 2 2 1.00 1.00
Totals 5067 6600 8529 (avg) 1.30 (avg) 1.68

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On March 24, 2015…
15.4% (794 known units, 820 assumed units) of Airbnb’s San Francisco rentals are rented out (‘hosted’) by people who live outside of San Francisco

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Of the 5327 San Francisco rentals found on Airbnb on March 24 2015, we found 21,319 reviews where the unit rental listed a valid rental price. The gross rental amount paid to renters (‘hosts’) was $4,060,468.87. (using current rental price for all dates)

airbnbtgt date8 AvgOfprice NumberOfReviews Gross
SF 20150324 $194.27 21,319.00 $4,060,468.87

21,352 Reviews with Date (missing reviews have no price listed)
Nearly half (47.9%) of the reviews are for 3 months in 2015.
In January thru March 24 2015 San Francisco Airbnb rentals took in an estimated gross amount of $1,944,964.588 ($4,060,468.87 x 47.9%)

Query28
YEAR of REVIEW
COUNT of REVIEWS
2010 9
2011 35
2012 194
2013 1062
2014 9826
2015 10225

Airbnb in San Francisco
Multi-Rental Hosts are inching ahead, as no-one gets fined or prosecuted…

chart7

[added 20150401]
Using all of the San Francisco rentals found on Airbnb from October 1 2014 thru March 24 2015 (the similar calculations above used only rentals found on March 24 2015), we found 43,977 reviews where the unit rental listed a valid rental price for the year 2014. The gross rental amount paid to renters (‘hosts’) in 2014 was $7,660,147. For the first 3 months in 2015 it was $2,362,415 (14,027 reviews), projected for the year at $9,449,659. We added a conservative 35% to these amounts, based on Airbnb’s ‘almost 70%’ quote and calculated SF Hotel Tax owed.

Average price used for all rentals
Does not include: Rental Income for non-reviewed rentals (add 30+%)
Does not include: Rental Income for non-published / expired reviewed rentals
Does not include: Any extra fees (extra guests, pets, cleaning, etc)
“almost 70% of hosts and guests leave a review after each visit”, according to CHIP CONLEY, JUNE 3, 2014, AIRBNB HOSPITALITY
Years previous to 2014 do not have realistic numbers of reviews to calculate

airbnbtgt YEAR REVIEWS AvgRent GROSS PROJECTED 35% More HOTEL TAX 14%
sf 2009 1 120 $120 N/A N/A N/A
sf 2010 20 165 $3,293 N/A N/A N/A
sf 2011 127 170 $21,630 N/A N/A N/A
sf 2012 553 180 $99,425 N/A N/A N/A
sf 2013 2783 199 $554,893 N/A N/A N/A
sf 2014 43977 174 $7,660,147 N/A $11,784,841.42 $1,649,878
SF 2015 14027 168 $2,362,415 $9,449,659 $14,537,936.68 $2,035,311
Posted in airbnb, Bad Neighbor, corporate welfare, Gentrifucked, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area, Sharing Economy, Sharing Economy Bullshit, Vote! 2015 | 1 Comment

KICKSTARTER: SFMTA Commuter Shuttles Policy and Pilot Program Handbook

Please help fund our new KICKSTARTER project: SFMTA Commuter Shuttles Policy and Pilot Program Handbook

We are 0% funded toward our goal of $1.00 $3.55!

The SFMTA desperately needs our help. Time to pitch in to make San Francisco a better and safer place for all!

Click on the picture to go to the KICKSTARTER project page
(When you watch the video, especially note the bus stopped in the intersection as a firetruck, siren wailing, crosses by in the same intersection)

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Here are some pages from the current draft…

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[added 20150331]
Published on Youtube on Mar 28, 2015
Within 4 minutes 50 seconds: 2 buses stopped in crosswalk (one of these also stopped in intersection); 4 buses stopped at a green light, blocking traffic; one bus makes a dangerous wide left turn across 3 lanes of traffic (March 18, 2015, starting at 7:05pm)
*Note especially the bus blocking part of the intersection as a firetruck, siren wailing, crosses the same intersection

Sequence: One bus stopped in a crosswalk, unboarding passengers, while another bus is stopped at a green light, across Grove St, stopping traffic behind, as it waits for the bus stop to clear; another bus makes an unsafe wide left turn across three lanes of traffic into the bus stop; the bus behind it stops in the crosswalk and the intersection as it waits to pull into the bus stop (while a firetruck, siren wailing, passes by in the intersection that the bus is partially blocking); the bus behind that stops at a green light, across Grove St, stopping traffic behind, as it waits for the bus stop to clear; then the bus behind that one stops at a green light, across Grove St, stopping traffic behind, as it waits for the bus stop to clear. All within 4 minutes and 50 seconds.

(pardon the shaky camera work)

Go to Youtube

Posted in Gentrifucked, New SF Tech Class, Private Commuter Shuttle Buses, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area, video, Vote! 2015 | Leave a comment

Airbnb Raw Data, San Francisco, March 24 2015

Below is a link to an excel file which contain almost-raw data I downloaded from Airbnb’s website for San Francisco rentals on March 24, 2015.

There are 6 tables (one per sheet in the file) used. Each uses a primary key of “airbnbtgt”, “date8″, “roomid” (‘EXTRA’ uses, additionally, fields ‘table’ and ‘var’) which can be used to link records between tables (note: ‘id’ field is not common among tables, is only a counter). Almost all of the data has been processed as text fields. You may find errors if importing as other than that, without cleaning the data first (date8 is an integer). Airbnb has changed their html format over the span of these files, so some data was captured for some dates and not others, though I tried to catch the variations. No ‘cleaning’ of the data has been done.

1. META: The fields are derived from the html ‘meta’ tags, and are the most reliable when considering my possible parsing errors (some nested ‘meta’ tags can produce errors) (this now includes HostID and HostName fields, previously in a separate table).
2. COLON: The fields are derived from searching the html for the [variable] “:” [value] sequence, and is fairly reliable as to errors.
3. LAST: The fields are derived from searching the html for certain keywords, then assuming other, following, keywords and phrases are connected, and is less reliable as to producing errors.
*NOTE: the “Info1Num” field here is the number of reviews listed for this rental.
4. EXTRA: These are ‘meta’ tags (and others) which were not anticipated, but saved (many faulty/useless records, but very reliable for some particular fields; you will have to examine for the data you’re seeking)
5. AHOU: (Apartment House Other Unknown) These are Property Types, as listed, and how I categorized them. The records with a note attached indicate blank Property Type records that I examined and entered the category.
6. SharedNot: This is how I categorized sharing, by the ‘roomtype’ field.
7. REVIEWS: These are parsed loosely from the html, with ‘review date’, ‘renter name’, and review text.
*REVIEWS table not included here (maybe later)

Download Query EXPORT SF 20150324 All Tables (4.8mb)


Note: Excel file created using Microsoft Excel 2013

A few examples from queries…

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[added 20150329]

Counting Bedrooms and Beds

AHOU shared Count TotBdrms TotBeds Per Unit Bdrms Per Unit Beds
Apartment NO 2335 3011 4065 1.29 1.74
Apartment YES 1257 1257 1491 1.00 1.19
House NO 629 1465 1753 2.33 2.79
House YES 701 701 939 1.00 1.34
Other NO 28 46 73 1.64 2.61
Other YES 108 108 194 1.00 1.80
Unknown NO 7 10 12 1.43 1.71
Unknown YES 2 2 2 1.00 1.00
 Totals 5067 6600 8529 (avg) 1.30 (avg) 1.68

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On March 24, 2015…
15.4% (794 known units, 820 assumed units) of Airbnb’s San Francisco rentals are rented out (‘hosted’) by people who live outside of San Francisco

chart6

Of the 5327 San Francisco rentals found on Airbnb on March 24 2015, we found 21,319 reviews where the unit rental listed a valid rental price. The gross rental amount paid to renters (‘hosts’) was $4,060,468.87. (using current rental price for all dates)

airbnbtgt date8 AvgOfprice NumberOfReviews Gross
SF 20150324 $194.27 21,319.00 $4,060,468.87

21,352 Reviews with Date (missing reviews have no price listed)
Nearly half (47.9%) of the reviews are for 3 months in 2015.
In January thru March 24 2015 San Francisco Airbnb rentals took in an estimated gross amount of $1,944,964.588 ($4,060,468.87 x 47.9%)

Query28
YEAR of REVIEW
COUNT of REVIEWS
2010 9
2011 35
2012 194
2013 1062
2014 9826
2015 10225

[added 20150330]
Airbnb in San Francisco
Multi-Rental Hosts are inching ahead, as no-one gets fined or prosecuted…

chart7

Posted in airbnb, Bad Neighbor, business bastards, corporate welfare, Gentrifucked, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area, Sharing Economy, Sharing Economy Bullshit, Vote! 2015 | 3 Comments

Airbnb Data, San Francisco, October 1 2014 to February 28 2015

Below are links to 6 excel files which contain almost-raw data I downloaded from Airbnb’s website for San Francisco rentals from October 1 2014 to February 28 2015.

There are 5 tables used (a separate excel file for each). Each uses a primary key of “airbnbtgt”, “date8″, “roomid” (sometimes with another field(s)) which can be used to link records between tables (note: ‘id’ field is not common among tables, is only a counter–with one exception noted below). Almost all of the data has been processed as text fields. You may find errors if importing as other than that, without cleaning the data first (date8 is an integer). Airbnb has changed their html format over the span of these files, so some data was captured for some dates and not others, though I tried to catch the variations. No ‘cleaning’ of the data has been done.

Here are the file names and sizes. Some are very large (generally 50k+ records per file).

            70,390 airbnb-queries-1.xlsx
         5,089,576 Q15 Export SF COLON.xlsx
         1,599,516 Q15 Export SF Extra.xlsx
        14,963,051 Q15 Export SF LAST.xlsx
         2,351,453 Q15 Export SF LINKS HOSTID.xlsx
        28,886,446 Q15 Export SF META.xlsx
               6 File(s)     52,960,432 bytes

1. META: The fields are derived from the html ‘meta’ tags, and are the most reliable when considering my possible parsing errors (some nested ‘meta’ tags can produce errors).
Download Excel File Here

2. COLON: The fields are derived from searching the html for the [variable] “:” [value] sequence, and is fairly reliable as to errors.
Download Excel File Here

3. LAST: The fields are derived from searching the html for certain keywords, then assuming other, following, keywords and phrases are connected, and is less reliable as to producing errors.
*NOTE: the “Info1Num” field here is the number of reviews listed for this rental.
Download Excel File Here

4. EXTRA: These are ‘meta’ tags (and others) which were not anticipated, but saved (very reliable for some particular fields, not so much for others; I included only 3 fields here–very reliable data)
Download Excel File Here

5. LINKS-HOSTID: These are parsed from the html <a href> tag for Host Profile (very reliable) (the ‘id’ field here can be linked to the ‘id’ field in META table)
Download Excel File Here

6. REVIEWS: These are parsed loosely from the html, with ‘review date’, ‘renter name’, and review text.
*REVIEWS table not included here (maybe later)
[added 3-26-2015]
To fit Excel 64k row maximum these are done by separate files by date
Some records are missing a ‘revdate’ (‘revname’ in its place). To fix,  move ‘revdate’ (anything not matching [month] [year]) to ‘revname’ (which will contain a duplicate of ‘review’, and be overwritten).
Q15 EXPORT SF ROOMREVIEWS 20141001 (3mb)
Q15 EXPORT SF ROOMREVIEWS 20141004 (3mb)
Q15 EXPORT SF ROOMREVIEWS 20141024 (2.6mb)
Q15 EXPORT SF ROOMREVIEWS 20141102 (2.7mb)
Q15 EXPORT SF ROOMREVIEWS 20141116 (2.7mb)
(more will follow)

[added 3-26-2014]
7. HOST: Home Location, Member Since
These were missing (blank fields) in LAST table.
Can be linked via ‘airbnbtgt’, ‘date8′, and ‘HostID’.
(has count of rentals for each host per date)
Download Excel File Here (1.7 mb)

There is one excel file with summaries on each worksheet: file = Download Excel File Here

Tab “0 Download” = Total counts of html files successfully parsed before any filtering (includes counts for cities other than San Francisco)

Tab “1 Count by Date” = Total counts after filtering for correct locations (Airbnb often includes some adjoining rentals when searching by zipcode, which is how this was done) (includes counts for cities other than San Francisco)

Tab “2 Professional” = Counts of rentals marked by Airbnb (in html file) as “Professional”. This is not displayed on the webpage and I assume it is an internal Airbnb marker for ‘professional’ renters vs ‘normal/sharing’ renters. They have not included this in all the files I downloaded so it is missing in some dates.

Tab “3 ShareType” = “Private Room” vs “Shared Room” vs “Entire Apartment/House”. This appears to be a drop-down type selection from the Airbnb listing procedure–it is consistent, with no variations.

Tab “4 PropType” = This appears to be a discretionary input in the Airbnb listing procedure–it is mostly consistent (“House”, “Apartment”, “Dorm”, “Igloo”, etc), but with many variations (sometimes blank, sometimes garbled html).

Tab “5 AHOU” = Counts by Apartment vs House vs Other vs Unknown

Tab “6 AHOU ShareType” = Counts by Apartment vs House vs Other vs Unknown, then by Shared Room vs Private Room vs Entire Apartment/House

Tab “7 USE” = List of the cities the renter stated, the count of each city, and whether or not it was used in the queries (marked by “1”).


A few examples…

Count of total rentals per date
“SF AVG +-” = Percentage Up/Down from average of all counts

airbnbtgt date8 CountOfdate8 SF AVG +-
sf 20141001 5432 4.99%
sf 20141004 5464 5.61%
sf 20141024 4786 -7.50%
sf 20141102 4811 -7.01%
sf 20141116 4989 -3.57%
sf 20141204 5509 6.48%
SF 20141225 5647 9.15%
SF 20150125 5434 5.03%
SF 20150210 5083 -1.75%
SF 20150228 4583 -11.42%

9674

Count of rentals by ‘Professional’ renters per date. Continue reading

Posted in airbnb, Bad Neighbor, business bastards, corporate welfare, Gentrifucked, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area, Sharing Economy, Vote! 2015 | 7 Comments

One Bus Stop, One Hour, 23 Private Commuter Shuttle Buses

I videoed private commuter shuttle buses participating in the SFMTA Commuter Shuttle Pilot Program as they stopped in the MUNI bus stop at the north-east corner of Van Ness Ave and Grove St on March 18, 2015, from 6:35pm to 7:35pm (assuming they were all properly registered with the program–I was not checking).

The bus stop is approximately 96 feet long. All measurements below are approximate. There are 3 upright metal poles in the sidewalk (about 3 feet high). The middle pole is close to half of the bus stop (48 feet; see Photo 9). Every (rear bumper of every) bus should clear this middle pole when pulling into the stop when it’s empty to leave enough room for another bus to pull into the stop (and not block the crosswalk).

Most MUNI buses are 40 feet or less in length (the exception is the 60 foot Articulated Diesel Bus), which allows two buses to stop in this particular bus stop with room to spare. Most private commuter shuttle buses can also fit two at a time in this bus stop when driven properly (see Photo 14, a shorter commuter bus and a larger commuter bus both in the stop comfortably; see Photos 21-24, where two of the larger commuter buses are in the stop, one blocking the pedestrian crosswalk unnecessarily).

All pictures are screen grabs of the videos, in sequence. All pictures are taken from video when the bus was at a full stop, except where noted otherwise. When the phrase “middle of bus stop” is used below it does not mean the exact middle of the bus stop–it means the bus did not stop far up enough in front, fully within the front half of the bus stop,  to allow another bus to pull into the stop behind it.

No attempt is made to identify the bus company, the company of the employees it carries, or the pilot program permit numbers of the buses (other than what’s obvious in the pictures). The only purpose here is to document how the SFMTA Commuter Shuttle Pilot Program is being operated and monitored at one bus stop, on one day, for one hour. No employees of the SFMTA (pilot program dedicated staff or other) were in evidence during this busy commute rush hour at this busy commute intersection. If the SFMTA wants to investigate these buses they can easily do so by comparing the pictures with the GPS data the buses are required to supply at each stop.

Here’s what I observed on March 18, 2015, 6:35pm to 7:35pm
• 22 Commuter Shuttle Pilot Program Buses using bus stop
(MUNI buses stopping were not counted, but many fewer stopped as many more passed by)
• 6 Proper Stops of 22 total (Pilot Program Buses)
• 16 Improper Stops of 22 total (Pilot Program Buses)
• 1 MUNI Bus having to stop in traffic lane to unboard passengers because of a Commuter Shuttle Bus
(MUNI Buses passing stop altogether when a commuter bus was in stop were not counted)
• 3 Commuter Shuttle Pilot Program Buses stopped in traffic lane, at a green traffic light, blocking traffic behind (choosing to do so instead of stopping in intersection/crosswalk ahead)
• 2 Commuter Shuttle Buses stopped in pedestrian crosswalk
• 1 Commuter Shuttle Bus dropping off passengers in traffic lane at a red light
• 1 Commuter Shuttle Bus stopped in traffic lane ahead of bus stop in order to allow MUNI bus trailing behind access to the bus stop

I think these photos make a number of things clear:
• The bus routes used by the private commuter shuttle buses are not scheduled well, there are too many buses stopping at the same time at the same stop–too many for the size of the bus stop to handle
• There appears to be just enough room for 2 buses in this bus stop (even for 2 of the larger commuter shuttle buses), if the first bus pulls up into the bus stop as far as possible (only the front bus needs to leave enough room forward for turning into traffic when it leaves–the bus behind can pull right up to the rear bumper of the bus in front of it because by the time he is leaving the front bus will be gone, leaving room to turn into traffic)
• Most private commuter shuttle bus drivers do not share the bus stops they use (neither with MUNI nor with other private shuttle buses)–when they pull into the stop they leave no room for a second bus
• What I witnessed appears to be the norm–and it’s not a pretty picture. There seems to be no effort being made to ensure the operation of these buses runs smoothly in everyday traffic
• The SFMTA enforcement of the pilot program is ineffective–or non-existent. It could be just this stop, this day, this hour, but I doubt it. If each bus stop sanctioned for the pilot program had a video camera running all day I would expect to see worse than what I witnessed. If the SFMTA cannot afford to hire more enforcement officers for the pilot program then the $3.55 fee per bus per stop is obviously inadequate to cover the cost of the program and should be revisited

Here are the pictures…


PHOTO 1 =BUS 1, Stopped in the middle of the bus stop
1

PHOTO 2 = BUS 1, another angle Continue reading

Posted in corporate welfare, Gentrifucked, New SF Tech Class, Private Commuter Shuttle Buses, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, San Francisco Income Inequality, SF Bay Area, Vote! 2015 | 10 Comments

SFMTA Commuter Shuttles Policy and Pilot Program Update ~ Revised


Blocking crosswalk at 24th / mission, Look at this Tech Bus, Tumblr

This is an update to a previous post, which had some errors in interpretation of the data. This post also has new information not included in the original, with updated data.
The original post can be found here

Known Facts (from SFMTA)

  • There are 205 private commuter shuttle buses, from 14 companies, currently registered for the Pilot Program. (3-6-2015)
  • There are 126 routes used by the buses. (3-6-2015)
  • There is an average of approximately 2500 shuttle stop events daily. (3-10-2015)
  • There are 122 stops being used by the shuttle buses (1-15-2015)
  • There is no breakdown for companies who hire the shuttle bus companies.
  • There is no breakdown for intra-San Francisco vs inter-city commuter shuttle buses
  • The data I received for citations written is for the period from 8-1-2014 to 1-31-2015 (6 months, approximately 130 weekdays of shuttle bus operation)
  • 657 SFMTA citations were written (357 by SFMTA Pilot Program officers, 300 by other SFMTA enforcement officers) during the 6 month period
  • The data I received for resident comments/complaints is for the period from approximately 9-18-2014 to 2-20-2015 (5 months)
    (The resident comments/complaints document appears to be a summary written by SFMTA staff. There is no notation that it is ‘complete’ or not. I myself had registered 2 commuter bus complaints on the sf gov 311 site previous to the start date of the document, which do not seem to be included in the document)
  • The bus companies pay $3.55 (increased to $3.67) per bus per stop ($3.60 used below)
  • The duration of the Pilot Program is 18 months.
  • “Permit fees will recover SFMTA’s costs for program, estimated at $3.5 million over the 18-month pilot.” (SFMTA)
  • Number of SFMTA enforcement officers detailed to Pilot Program: unknown

Assumptions

  • Assuming: 205 buses & 126 bus routes & 2500 stops per day, average, throughout all 6 months of citation data
  • Assuming: Average 4 stops per shuttle bus route
    (Because: Companies want to transport employees as quickly and conveniently as possible, for company benefit and employee satisfaction, and a low cost per rider for some of these companies is not as high a priority as it would be for some other companies)
  • Assuming: 2.8 miles, average shuttle bus route length, 1st stop to last stop, before heading toward/coming from freeway (inter-city) (eg: Start = Lombard@Divisidero, End = Van Ness@Market, with 2 stops in-between)
  • Assuming: Intra-city vs Inter-city Shuttle Buses = Same data and calculations apply (calculations are made for in-San Francisco first stop to in-San Francisco last stop)
  • 2500 stops per day * 130 days * $3.60 = $1,170,000.00 (6 months) == (*3=) $3,510,000.00 (18 months), which closely matches SFMTA stated cost of Pilot Program.
  • 6 Month Totals (period of SFMTA citations written)

Calculations for bus ‘runs’ and mileage and stops over 6 month period

Continue reading

Posted in Private Commuter Shuttle Buses, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area, Uncategorized | 6 Comments

The end times are upon us…

The Unholy Trinity (revised for San Francisco)
The Father, the Son, and…the Daughter?

unholytrinity-1

VOTE 2015!

“But understand this, that in the last days there will come times of difficulty. For people will be lovers of self, lovers of money, proud, arrogant, abusive, disobedient to their parents, ungrateful, unholy, heartless, unappeasable, slanderous, without self-control, brutal, not loving good, treacherous, reckless, swollen with conceit, lovers of pleasure rather than lovers of good, having the appearance of goodliness, but denying its power” Timothy 3:1-5

image credit: http://www.pinterest.com/chrisbmurch/satanic-or-dark-art/

Posted in A Wolf in Supervisor's Clothing, airbnb, crackpot, Eviction, Gentrifucked, Giving Democrats a Bad Name, Private Commuter Shuttle Buses, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, Vote! 2015 | Leave a comment

Intended Owner Move-in Evictions in San Francisco for February 2015

Intended Owner Move-in Evictions in San Francisco for February 2015

These are “NOTICE OF CONSTRAINTS ON REAL PROPERTY” records recently posted by City Recorder, which is required prior to an ‘Owner Move-in’ Eviction. Dates listed are dates of recording, not necessarily date of filing.
Click on links for CRIIS website owner, records info
Click on APN number (####?-###?) for link to SF Planning Property Map website (from there you can click a link to see all CRIIS records for that property)
Click here to open file in a separate window
*note: if SF Planning site offers multiple APNs, APN listed here has probably been sub-divided
*note: some CRIIS links may show more names than listed here; these are not necessarily involved in intent to evict notice
Names are LAST FIRST MIDDLE (no commas) Continue reading

Posted in Eviction, Gentrifucked, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area, Tenant Landlord | Leave a comment

SFMTA Commuter Shuttle Pilot Program Update

[ed: 3-12-15 = This post has been updated.
Some of the below still applies, some not, due to new data.
See SFMTA Commuter Shuttles Policy and Pilot Program Update ~ Revised ]


[ed: correction, 20150311: I mistakenly assumed “Citations issued to shuttle buses – all Enforcement details” included SFPD citations written.
I have since learned that it does not, so no moving violations would be in the SFMTA reports received (they do not cite moving violations)
All of the below applies ONLY to SFMTA staff citations.
Where it states ‘Other’ (or similar), it refers only to SFMTA officers not directly involved in Pilot Program enforcement.
This correction repeated below where pertinent
]

On Saturday, February 28, 2015, I sent an email to Carli Paine of the SFMTA (TDM Manager, Sustainable Streets Division) requesting some information regarding the SFMTA’s Commuter Shuttle Pilot Program. I promptly received a response on Friday, March 06, from Caroline Celaya (Manager, Public Records Requests, SFMTA).

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photo from time-lapse study video at http://vimeo.com/88424080

LINK: SFMTA Commuter Shuttle Pilot Program

The good news is: only one citation served for a commuter shuttle bus parking in a Disabled Blue Zone.
The bad news… Continue reading

Posted in corporate welfare, Gentrifucked, New SF Tech Class, Private Commuter Shuttle Buses, Recall David Chiu, Recall Jane Kim, Recall Mayor Ed Lee, SF Bay Area | 10 Comments