雅思阅读

📖 Reading Passage

The concept of 'digital twins' has gained significant traction in urban planning, referring to virtual replicas of physical cities that simulate real-time data to optimize infrastructure. While proponents argue that these models enhance efficiency in traffic management and energy consumption, critics caution against over-reliance on predictive algorithms, which may overlook socio-economic disparities embedded in urban fabrics. A recent study in Rotterdam demonstrated that digital twins improved flood response times by 30%, yet also revealed that data gaps in low-income districts led to suboptimal resource allocation. This paradox underscores a fundamental tension: technological precision does not inherently equate to equitable outcomes. Therefore, scholars advocate for integrating community feedback into these systems, ensuring that algorithmic governance does not marginalize vulnerable populations. Ultimately, the efficacy of digital twins hinges not merely on data fidelity, but on the inclusivity of their design parameters.