Quantum sensing is increasingly discussed as a high-potential enabling technology for smart and resilient urban infrastructure, yet the current literature remains stronger at identifying possibilities than at sequencing implementation. The present study addresses that planning gap by converting the most detailed recent review of quantum sensing in civil engineering into an operational decision framework for near-term urban deployment. The analysis focuses on transportation and construction because the source literature identifies these as the most plausible first-adoption domains, particularly where high-resolution traffic control and subsurface intelligence can generate immediate public value. Ten pathway-level applications were coded from the review corpus and assessed through a readiness-weighted portfolio model using five dimensions: expected sensing gain, deployment readiness, integration tractability, public-value externality, and evidentiary specificity. The readiness layer is anchored directly in the quantum technology readiness levels reported for major sensing categories, with magnetometers, gravimeters, and accelerometers treated as the strongest near-term candidates, gyroscopes as advanced but slightly less mature, and imaging-centric pathways as materially earlier in their commercialization cycle. Under the baseline specification, the leading pathways are dynamic traffic control using magnetometer–gravimeter systems (94.4/100), construction-oriented subsurface imaging (93.4/100), and underground metallic utility detection (93.2/100). These priorities remain top-tier under readiness-heavy, public-value-heavy, and integration-heavy scenarios. The manuscript therefore offers a practical smart-city planning contribution: it translates a narrative technology review into a transparent pilot-selection framework for urban development agencies, transport authorities, and construction-delivery organizations seeking a disciplined first-wave quantum sensing strategy.