A thesis research tool for gender-inclusive street-level diagnosis
GUIDED STREET RECORD
This study asks you to contribute one street-level record. Before entering the workflow, follow how a street image, lived perception, and urban context come together into a diagnostic reading of gender-inclusive safety.
You will be asked to take one street image, answer a short perception questionnaire, and confirm the street location.
LAYER 01 / STREET IMAGE
Take one image that represents your experience of this street as a pedestrian. The image helps record visible street conditions such as sidewalks, crossings, frontages, lighting, vegetation, visibility, and maintenance.
What you notice from the street matters.
LAYER 02 / LIVED PERCEPTION
Your answers help explain what the image alone cannot show: whether the street feels visible, cared for, comfortable, and easy to use. There are no right or wrong answers. Your immediate perception is part of the evidence.
LAYER 03 / URBAN CONTEXT
The map step connects your street record with public spatial data around the location. This helps the study understand the street segment not only as one image or one response, but as part of a wider urban condition.
The location is used to connect public street context, not to identify you.
THE DIAGNOSTIC READING
The workflow brings the street image, perception response, and urban context together through three lenses: Protection, Comfort, and Usability. The result is a street-level profile that helps identify which conditions may support or weaken gender-inclusive safety.
Start contributionCONTRIBUTION WORKFLOW
Thank you for participating in this study. You will now complete a short six-step workflow. The record will include one street image, your perception response, and a confirmed location used to provide location-based street context.
The location is used to connect public street context, not to identify you.
Step 1 of 6: Upload one street image.
Step 1
This code is shown once. It is not stored by this page.
Camera access stays on this device. If it is unavailable, use the camera picker instead.
The uploaded image is used directly for the street-image reading and its computer interpretation.
Review consent, create a contribution record, then upload one street image.
Step 2
Start with an optional quick context snapshot, then answer the 12 public perception questions. Context answers are separate from your diagnostic results.
Step 3
Confirm where the street image was taken, then review the location-based street context connected to that point. Image location metadata can prefill the form; you can also use the current device location, adjust the point on the map, or enter it manually.
Your confirmed point connects the record to public area-level context. It is not used to identify you.
Step 4
Review the uploaded image and computer reading, the selected Amsterdam location, and the Protection, Comfort, and Usability evidence profile.
Complete Step 3, then select Complete record.
The report keeps the image, perception, and location context layers separate, explains the three diagnostic lenses, and retains the evidence in accessible text.
Step 5
Based on the street image, participant responses, and available spatial context, the following preliminary directions identify conditions that may deserve attention. They are starting points for discussion, not final design decisions.
Directions are generated from the available evidence and clearly show when more checking is needed.
Step 6
Step 6 turns the existing Step 5 directions into a traceable, preliminary image scenario. The comparison keeps the original image on the left and shows an evidence-informed redesign suggestion on the right; it is not a final design solution.
The scenario is limited to visually representable Step 5 directions and remains evidence-informed exploratory support.