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Cities That Think: Reasoning AI for the Urban Century

Zoning is where optimism goes to meet the municipal code. A proposed housing site may look perfect on a dashboard: good transport access, strong demand, reasonable land cost, favourable development projections. Then the real planning work begins. Height restrictions appear. Environmental buffers interfere. Community priorities conflict. A flood-risk layer changes the cost-benefit story. A transport engineer likes the site. A housing officer likes the urgency. A neighbourhood group likes neither the density nor the traffic. The question is no longer “what is likely to happen?” It is “what should be allowed, under which constraints, with what trade-offs, and who can justify that decision in public?” ...

November 10, 2025 · 15 min · Zelina
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Policies with Purpose: How PPO Powers Smart Business Decisions

TL;DR for operators The paper is about air-purifying booth placement in Delhi, but the useful business lesson is broader: optimisation is rarely about chasing the loudest metric. In the study, a greedy strategy that targets the highest-AQI cells achieves the highest overall AQI improvement, at 25.76%. The PPO-based strategy is slightly lower on that headline number, at 25.39%, but much stronger on population impact and traffic impact, with zero green-space violations. ...

May 5, 2025 · 16 min · Zelina
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Retail Roots: Planting the Right Stores with Smart AI Soil

TL;DR for operators Location is the product. For EV charging networks, the technical hardware matters, but the business pain usually begins somewhere less glamorous: the charger is not where drivers actually pause, pass through, or need confidence. The paper behind this article proposes a data-driven system for recommending EV charging station locations in New South Wales by fusing EV GPS trajectories with existing and approved charger data, LGA boundaries, routes, altitude, fire-risk maps, and points of interest.1 Its core move is not “AI magically finds the best charger sites”, because apparently we still have to live in the physical world. The useful move is narrower and more operational: use historical trip density to find candidate demand clusters, then constrain those clusters with geospatial features that make a site more plausible. ...

April 22, 2025 · 14 min · Zelina