Trip Generation

1. A large retirement village has a total retail employment of 120. All 1600 of the households in this village consist of two nonworking family members with household income of $20,000. Assuming that shopping and social/recreational trip rates both peak during the same hour (for exposition purposes), predict the total number of peak-hour trips generated by this village using the trip generation models of Examples 8.1 and 8.2.

2. Consider the retirement village described above. Determine the amount of additional retail employment (in the village) necessary to reduce the total predicted number of peak-hour shopping trips to 200.

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3. A large residential area has 1400 households with an average household income of $40,000, an average household size of 4.8, and, on average, 1.5 working members. Using the model described above (assuming it was estimated using zonal averages instead of individual households), predict the change in the number of peak-hour social/recreational trips if employment in the area increases by 25% and household income by 10%.