Table 2.

Predicted short- and long-term health risks for selected receptors in the freeway scenario using MOBILE6.2 emission estimates (unit: probability×10⁻⁶ day⁻¹ person⁻¹ for EDA and probability×10⁻⁶ year⁻¹ person⁻¹ for mortality.).

Volume	On-road population				Near-road populationa
	Morning rush hours		Afternoon rush hours		Morning rush hours		Afternoon rush hours
	EDAb	Mortality	EDA	Mortality	EDA	Mortality	EDA	Mortality
1000	9–94	0–183	7–71	0–139	14–150	0–293	10–105	0–205
2000	16–170	0–331	12–131	0–256	28–292	0–569	19–206	0–401
3000	22–235	0–459	17–184	0–360	40–425	0–830	29–302	0–590
4000	28–294	0–574	22–233	0–455	52–553	0–1080	37–396	0–773
5000	33–350	0–682	26–279	0–545	64–678	0–1323	46–488	0–952
6000	38–405	0–790	31–326	0–635	76–803	0–1566	55–581	0–1133
7000	44–465	0–906	35–376	0–734	88–932	0–1819	64–677	0–1321
8000	48–513	0–1001	39–416	0–813	96–1017	0–1985	70–741	0–1445
9000	54–568	0–1108	44–462	0–901	103–1095	0–2136	75–798	0–1557
10,000	62–652	0–1273	50–532	0–1038	114–1212	0–2364	83–885	0–1726

^aNear-road population represents individuals living at 100 m to freeways here.

^bEmergency doctor visit or hospital admissions.