Ham Community Space

Ham Community space

Background

Some residents of Parkleys started thinking of the idea of having a space to be able to get toguether. We met with representatives of Ham Parade Market and Makers United because we did not want to restrict it to only Parkleys residents. The options concluded from the meeting were:

1. Rent out an existing location. Pro: We get to make it for the purpose we want. Cons: we will need to pay rent to someone that might not have the community at heart.
2. Book Existing community spaces. Pro: low barrier of entry. Con: will need to be left as multi-use area.
3. Buy a space outright. Pro: future ensured. Con: high upfront cost: mortgage.

The conclusion of that meeting was that we needed to make a survey to be able to gauge the interest of our neighbours. We have shared a survey with the local (known) community.

Known possible facilities

• Costa Coffee (On Ham Parade).
• Bistro/cafe (on Ham Parade).
• Richmond Makerlabs (15 min walk from Ham Parade in Ham Close).
• Best and nearest purpose built co-working space Cadbury Works (near Kingston Station, 65 bus stop).
• www.richmondroadstudios.co.uk
• Ham Library (15 min walk from Ham Parade).
• Ashburnham Road Cafe (opposite the Library)
• Hand and Flowcer Pub (currently closed but on Ham Parade).
• St. Andrew’s Church Hall (10 Min walk from Parade).
• St. Thomas Church Hall (10 Min Walk from Parade).
• Ham Brewery Tap (currently closed and for sale, 10 min Walk from Parade.).
• Ham Church Community Hall (20 Min Walk from Parade).
• St. Richards Community Hall (25 Min Walk from Parade).
• Garage in Parkleys (5 min Walk from Parade, none for sale or rent at the moment).
• St. Georges Industrial Estate.

Discussion about a TW10 booking app

One option that came after the survey was to instead of finding a new facility, to work with existing facilities making it easier to book the online. Key exchange can be done via IOT smart locks.

Survey Text

Over the last few months, we have had to adapt to spending more time at home. Both employees and employers are seeing the pros (and cons) of working from home and an increasing number of people are working freelance or as business owners. Employers are now suggesting that partial working from home will be offered as be a part of future employment arrangements. Responding to this change, a group of residents has suggested setting up a community-led space. It would be a local resource providing space, services, networking, socialising and supporting our health and wellbeing.

Responses

import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('Community Space(1-23)PlusHardCopy.csv')
pd.set_option('display.max_rows', None)
pd.set_option('display.max_colwidth', -1)

Would you use a local community-led space (within a 15 min walk)?

Q1=df['Would you use a local community-led space (within a 15 min walk)?'].value_counts()
Q1.plot.pie()
plt.ylabel('')
plt.title('Question1');

What would you like to use it for primarily?

Q2=df['What would you like to use it for primarily?'].value_counts()
Q2.plot.pie()
plt.ylabel('')
plt.title('Question2');

Other responses:

Q3=pd.DataFrame(df["If you selected 'other', what other uses would you be interested in?"]).dropna()
Q3

In a co-working/networking space, what would you use? You can select more than one.

col_name4="In a co-working/networking space, what would you use?  You can select more than one."
df.rename(columns={col_name4:'Q_4'}, inplace=True)
q4_df = pd.DataFrame(df['Q_4'])
Q4_df=q4_df.assign(Q_4=q4_df.Q_4.str.split(';')).explode('Q_4')
Q4=Q4_df['Q_4'].value_counts()
Q4.plot.pie()
plt.ylabel('')
plt.title('Question4');

If you selected other, you can provide more information here.

Q5=pd.DataFrame(df["If you selected other, you can provide more information here."]).dropna()
Q5

Would you, or your employer, pay a weekly or monthly subscription?

Q6=df['Would you, or your employer, pay a weekly or monthly subscription?'].value_counts()
Q6.plot.pie()
plt.ylabel('')
plt.title('Question 6');

Feel free to add any other comments or ideas?

Q7=pd.DataFrame(df["Feel free to add any other comments or ideas?"]).dropna()
Q7

10 min walk