An urban planner is assessing the effectiveness of a new zoning regulation designed to encourage mixed-use developments (residential and commercial) in city centers. The regulation aims to reduce traffic congestion by allowing residents to live closer to their workplaces and daily amenities. Initial data shows an increase in the number of mixed-use permits issued, but also a slight increase in overall traffic volume in the regulated areas. Which of the following statements offers the most plausible explanation for this seemingly contradictory data?
- AThe regulation has inadvertently made residential properties more expensive, pushing low-income workers further out and increasing their commute.
- BThe increase in mixed-use permits is not yet sufficient to impact traffic patterns significantly.
- CThe city's overall population has grown substantially, masking any positive effects of the zoning regulation on traffic.
- DThe new mixed-use developments are attracting more businesses, leading to an increase in commercial deliveries and service vehicles.
Show answer & explanationAnswer & explanation
Correct answer: C. The city's overall population has grown substantially, masking any positive effects of the zoning regulation on traffic.
The data shows an increase in mixed-use permits (suggesting the regulation is working as intended to some degree) but also increased traffic. Option D provides a 'masking' effect: the regulation might be having its intended positive impact on traffic *per resident* or *per business*, but a larger, external factor (overall population growth) is overriding and hiding this effect, leading to a net increase in traffic. This reconciles both observations.
Why the other options are wrong
- A. This would explain increased traffic, but it contradicts the regulation's goal of allowing residents to live closer, and the premise states mixed-use permits *increased*, suggesting the regulation *is* being adopted.
- B. This suggests the regulation hasn't had *any* impact yet, which doesn't fully reconcile the increase in permits with the increase in traffic. It's a weak explanation for the contradiction.
- D. While plausible, this only explains *some* increase in traffic, not why the regulation's intended *reduction* isn't observed, especially if residents are living closer.
Reconciling Contradictory Data
Reconciling contradictory data involves finding a plausible explanation that accounts for all observed facts, even when they initially appear to conflict. It often requires considering external factors or nuanced interpretations.
- Identify the conflicting pieces of information.
- Look for a single explanation that can logically bridge the gap between them.
- Consider external variables or contextual factors that might influence the outcomes.
Memory trick: Conflicting Clues Call for Clever Contextual Connections.