# data[].attributes.body
Traffic lights and over head bridge presence

# data[].attributes.body
the traffic light is green man for longer time

# data[].attributes.body
presence of street lights to illuminate the area at night

# data[].attributes.body
Are the police frequently patrolling the area at night?

# data[].attributes.body
depending on the needs of the
elderly

# data[].attributes.body
Whether their safety is determined as a priority in marine parade

# data[].attributes.body
are there ramps present

# data[].attributes.body
presence of sufficient lighting at night

# data[].attributes.body
presence of ramps and lifts

# data[].attributes.body
Average light levels across the estate

# data[].attributes.headline
availability of ramps/slopes so they don’t fall down the stairs

# data[].attributes.subject
availability of ramps/slopes so they don’t fall down the stairs

# data[].attributes.headline
Community perception study (qualitative bipolar survey)

# data[].attributes.subject
Community perception study (qualitative bipolar survey)

# data[].attributes.body
presence of elderly friendly facilities in their homes (eg. bars on the walls in the toilet and anti slip mats to prevent falls)

# data[].attributes.body
Percentage of area coverage by CCTV

# data[].attributes.body
number of reckless cyclists on the streets per 1m

# data[].attributes.body
presence of cctv

# data[].attributes.body
is the area well lit

# data[].attributes.body
Interview data about their feelings regarding the neighbourhood

# data[].attributes.body
elderly friendly home infrastructure (ramps outside of homes, handholds, and railings, non slip tiles and emergency button within homes)

sheltered areas available

# data[].attributes.body
presence (number) of police stations

# data[].attributes.body
1. Bipolar survey of local safety features (street lights, security cameras
2. Interview responses with residents
3. Data on the crime rates in the area