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1. Introduction

1.1 Background

Urban authorities publish extensive data on transport performance, emergency response times, and public safety, yet much of it remains siloed across separate portals, dense in terminology, and difficult for a non-specialist to interpret.

As a result, residents routinely move between unrelated government websites and spreadsheets to answer straightforward questions about the neighbourhoods they live in and the routes they travel each day.

Recent advances in front-end tooling and open public APIs make it feasible to consolidate these records into a single accessible interface that requires no technical training to use.

Likely AI-generated or AI-revised

Page 4 of 12
Scanned withTurnitin

3% detected as AI

The percentage indicates the combined amount of likely AI-generated text, including text that was likely revised by AI.

Similarity Index7%
Originality93%
Citation match86%

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HarvardOxfordMITStanfordETH ZürichIIT DelhiNUSCambridge
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