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EberHW#1

Course: ORF 467, Fall 2008
School: Princeton
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Eber Michael HW1 The A&G paper sets up a framework of econometric models to suggest a rough approximation of the monetary value one might give to an individual life based upon data gathered concerning the effect of a speed limit increase on U.S. rural interstate highways. A&G compare how the economic worth of reduced travel time compares with the increased fatalities associated with higher speed...

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Eber Michael HW1 The A&G paper sets up a framework of econometric models to suggest a rough approximation of the monetary value one might give to an individual life based upon data gathered concerning the effect of a speed limit increase on U.S. rural interstate highways. A&G compare how the economic worth of reduced travel time compares with the increased fatalities associated with higher speed limits. The heart of their analysis looks at data collected from the U.S. federal government and the states themselves detailing statistics from states that adopted 65 mph speed limits as well as from those that retained the 55 mph limit. A&G acknowledge other data sources and conceptualizations which may result in a different calculation of the value of a life. For example, countries other than the U.S. whose political systems may have different utilities towards the risks associated with transportation have their own highway data. Other sources to support or refute the A&G findings: -National Transportation Statistics 2003 Table 2-1: Transportation Fatalities by Mode: A&G do suggest that the value of a life may not be a simple clean-cut relationship between wage rate and highway fatalities. However, one could use this table on fatalities for all modes of transportation to suggest for instance, that the increase in highway fatalities might also be expressed as a fraction of the total deaths in a year caused by any mode of transport. Or, one might look at the predominance of highway deaths compared to fatalities through other modes of transport to suggest that the value of a life lost on the road might be less than A&G's suggestions; in other words, so many people use personal motor vehicles as a means of transport and seem not to be scared off by highway fatality numbers that this may indicate the value of a life lost on the highway has little significance when compared to the value of a life lost through other means of transport or by murder, etc. One could look at the deaths caused by aviation in this table, which have consistently been less than 1000 over the past 15 years (compared to 30-40+ times this number for highway fatalities,) to make an argument that, based upon the media coverage given to fatalities caused by airplanes, the value of a life very much depends on the context of its death. There are a number of factors to consider here, such as relative use of each mode of transport, but I feel the point is still valid. -Highway Taxes and Fees: One might use the table on the taxation of gasoline by state, for instance, to look at how a states willingness to tax motorists ties in with its readiness to adopt higher speed limits. Based on this, it might be possible to make the claim that, in states with higher taxation, the value of an individual's time on the road is greater than in states with lower taxation. One must acknowledge that, just as changes in speed limits are a product of political factors and not simply the desire of the median or mean individual, taxation also cannot be attributed solely to the interests of the people who must pay these fees. -Foreign Statistics on Highway Mortality Rates: Looking at the number of deaths on the roads in France, for instance, one can see by comparing the relative populations of the U.S. and France that highway mortality rates are roughly the same. L'Observateur (http:// www.observateurocde.org/news/fullstory.php/aid/576/Ins%E9curit%E9_routi %E8re.html) documents that a European conference of ministers of transportation found that for the year 2001, France had the second highest amount of deaths on national roads 7,720. When we consider France's population is roughly 60 million compared to the roughly 300 million in the U.S., it appears the two are countries right on par when looking at mortality rates. However, for roughly the same amount of relative deaths, France has much higher gasoline prices: http://www.energy.ca.gov/gasoline/statistics/world_gasoline_prices.html . It could be argued, then, that the value of time spent on the roads in France is much higher than in the United States which would lead to a higher monetary figure for the value of a life. While one does not have data to compare relative willingness to accept more fatalities for higher speed limits (like with the A&G paper,) this seems to emphasize that the value of a life depends greatly on its context and that even when looking at the mean "value" of a life, there are a lot of factors and considerations that can greatly alter this approximation. The TEA21 legislation describes a project to reconstruct portions of Route 46 in New Jersey. It provides $12,675,000, $8,625,000, and $3,075,000 for potions of the road at Van Houton Avenue, the Riverview Drive interchange, and the Union Boulevard interchange respectively. (I'm not sure whether there was some hidden further detailing of this project on the T21 site; this was the project near my home town with the most detail I could find.) The New Jersey Department of Transportation also documents construction of Route 46: http://www.state.nj.us/transportation/commuter/roads/rte46corridor/ . . The heart of the construction involves replacing bridges and adding acceleration and decceleration lanes from roughly North Caldwell to Passaic. The NJDOT cites that they are investing $195.4 million into Route 46 (much higher than money T21 quotes for Route 46, indicating the large majority of the project is outside of T21 funding) and that the main purpose of the project is "to improve safety." Since safety is the NJDOT's stated goal in reconstructing the highway, we can look at the A&G findings to help give some numeric worth to the project. If we use A&G's figure of $1.54 million to "equal" the "value" of saving one life, we can see that it would take about 126 lives saved to counter the cost of $195.4 million invested. While this seems a bit impractical, we can acknowledge, first of all, that these lives are in...

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Princeton - ORF - 467
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CSU Channel Islands - ICS - 252
Student ID: _CS 252 MS EXAM Spring 2009Prof. Eli BozorgzadehName Student ID : _ , _ (Last Name) (First Name) : _Q2: Latency Computation[35points]a) We want to provide linear programming formulation for resource allocation problem with minim
Arkansas Little Rock - CASE - 139
Berkeley - ASTRO - 00350311
1.9600000 2.2600000 2570.9780 820.75301 2.2600000 2.9799999 2539.0670 607.05617 2.9800000 3.0400000 13741.768 3135.0512 3.0400000 3.0999999 20134.158
Berkeley - ASTRO - 00350311
1.9600000 2.2600000 2570.9780 820.75301 2.2600000 2.9799999 2539.0670 607.05617 2.9800000 3.0400000 13741.768 3135.0512 3.0400000 3.0999999 20134.158
Berkeley - ASTRO - 00350311
1.96001 1 1
Berkeley - ASTRO - 00350311
1.96001 1 1
Berkeley - ASTRO - 00350311
2.4600000 2.6999998 18.975741 -7.7863135 7.6913703e+10 2.6999998 3.4200001 11.358676 -0.20141654 182129.07 3.4200001 4.1399999 9.5989316 1.2196387 2339.9907
Berkeley - ASTRO - 00350311
chi^2/nu= 2005.5420 / 1765The fit is rejectable at 99.994970 % Confidence 2.26000 2.98000 2537.7457 2.98000 3.04000 18230.123 3.04000 3.10000 21634.510 3.10000 3.1600
Berkeley - ASTRO - 00350311
<html><head><title>Your NED Search Results</title></head><body background="/pics/NEDbgHelp.gif" bgcolor="#FFFFFF"><center><font size=6 color="#CC3333"><b>N</b></font><font size=4 color="#000000"><b>ASA/IPAC</b></font> <font size=6 color="#CC
Berkeley - ASTRO - 00350311
94.474 94.671 341.165 83.337394.671 94.866 224.631 70.037494.866 94.95 433.8 141.27794.95 95.087 292.429 95.876895.087 95.18 421.669 134.19495.18 95.283 390.092 120.80395.283 95.438 264.69 84.51495.438 95.544 360.858 118.08795.544 95.939 184.
Berkeley - ASTRO - 00350311
;instrument XRT;exposure 1735.3971;xunit kev;bintype counts 0.0000000 0.0049999999 14.349183 1.00000 0.0049999999 0.0099999998 14.400367 1.00000 0.0099999998 0.015000000 14.451551 1.0
Berkeley - ASTRO - 00350311
chi^2/nu= 126.78276 / 3042.00The fit is rejectable at 0.0000000 % Confidence#index t1 t2 fade_index delta_mag_pk hindex dhindex rate1 drate1 rate2 drate2 logr dlogr 0 0.0945 0.1248 -3.40 0.0 -0.01 0.21 1.34E+0
Berkeley - ASTRO - 00350311
output00350311000_999/sw00350311000xpcw3po_cl.evtoutput00350311001_999/sw00350311001xpcw3po_cl.evt
Berkeley - ASTRO - 00350311
# t1 t2 dt rad_min rad_max cts err scl bg bg_rat wt 0.094474 0.094560 0.000086 2. 16. 9.00 3.00 0.267355 0.000000 0.257805 1 0.094560 0.094671 0.000110 2. 16. 10.48
Berkeley - ASTRO - 00350311
# t1 t2 dt rad_min rad_max cts err scl bg bg_rat wt 0.094474 0.094671 0.000196 0. 16. 19.44 4.49 0.489444 2.000000 0.279570 1 0.094671 0.094866 0.000195 0. 16. 11.32
Berkeley - ASTRO - 00350311
# tmin tmax 1.82205 36.6897 [ksec];instrument XRT;exposure 4766.2248;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.000000 0
Berkeley - ASTRO - 00350311
# tmin tmax 1.82205 36.6897 [ksec];instrument XRT;exposure 4766.2248;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.000000 0
Berkeley - ASTRO - 00350311
# tmin tmax 0.0944740 5.55856 [ksec];instrument XRT;exposure 948.25129;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.000000 0
Berkeley - ASTRO - 00350311
# tmin tmax 0.0944740 5.55856 [ksec];instrument XRT;exposure 948.25129;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.000000 0
Berkeley - ASTRO - 00350311
Wavdetect Sources with S/N>3: # ra dec err ["] signif counts steady? -log10(Prob_steady) 0189.52167316.8365970.135114.72163.1 0-117.3
Berkeley - ASTRO - 00350311
output00350311000_999/sw00350311000xwtw2po_cl.evtoutput00350311001_999/sw00350311001xwtw2po_cl.evt
Berkeley - ASTRO - 00350311
SIMPLE = T / file does conform to FITS standardBITPIX = 8 / number of bits per data pixelNAXIS = 0 / number of data axesEXTEND = T / FITS dataset may contain extensio
Berkeley - ASTRO - 00350311
# Ep dEp lprob lEiso dlEiso128.412 0.102 -1.12e-04 120.705 0.019128.522 0.117 -1.44e-03 120.705 0.018128.647 0.134 -2.99e-03 120.705 0.018128.790 0.153 -4.92e-03 120.705 0.017128.955 0.176 -7.09e-03 120.708 0.018129.143 0.201 -9.81e-03 120.708
Berkeley - ASTRO - 00350311
# Ep lEiso94.419 120.48596.786 120.48599.906 120.562100.964 120.562101.311 120.542102.102 120.524102.594 120.583103.029 120.597103.695 120.544103.721 120.536103.985 120.559104.401 120.553104.555 120.586104.871 120.574105.179 120.59110
Berkeley - ASTRO - 00350311
# Ep dEp lprob lNiso dlNiso128.412 0.102 -1.12e-04 137.320 0.072128.522 0.117 -1.43e-03 137.370 0.083128.647 0.134 -3.01e-03 137.370 0.081128.790 0.153 -4.87e-03 137.370 0.081128.955 0.176 -7.18e-03 137.345 0.078129.143 0.201 -9.81e-03 137.345
Berkeley - ASTRO - 00350311
# Ep lNiso94.393 137.01596.716 136.95399.885 137.161100.956 137.155101.303 137.105102.094 137.141102.587 137.213103.021 137.249103.688 137.119103.714 137.097103.981 137.157104.397 137.141104.550 137.223104.867 137.194105.175 137.23810
Berkeley - ASTRO - 00350311
-235.32980 42.528800 52.965900 68.376000
Berkeley - ASTRO - 00350311
#file=swbz_15-350lc.txt dt=0.06 tstart=1.960 tstop=107.740#t90 dt90 t50 dt50 rt90 drt90 rt50 drt50 rt45 drt45 tav dtav tmax dtmax trise dtrise tfall dtfall cts cts_err pk_rate dpk_rate band 54.480 0.686 6.720 0.454 17.640
Berkeley - ASTRO - 00350311
#file=swbz_15-350lc.txt dt=0.06 tstart=1.960 tstop=107.740#t90 dt90 t50 dt50 rt90 drt90 rt50 drt50 rt45 drt45 tav dtav tmax dtmax trise dtrise tfall dtfall cts cts_err pk_rate dpk_rate band 54.480 0.728 6.720 0.391 17.640
Berkeley - ASTRO - 00350311
#file=swb15-350lc.txt dt=1.0 tstart=1.960 tstop=107.740#t90 dt90 t50 dt50 rt90 drt90 rt50 drt50 rt45 drt45 tav dtav tmax dtmax trise dtrise tfall dtfall cts cts_err pk_rate dpk_rate band 56.000 0.761 8.000 0.330 24.000 1
Berkeley - ASTRO - 00350311
# S/N T1 T2 T90 T50# Estimated T100 Interval: 1.960 107.740 T90= 50.220 131.7 2.860 12.100 5.400 3.060 34.8 47.680 64.300 13.980 6.360 15.4 12.100 22.300
Berkeley - ASTRO - 00350311
;instrument XRT;exposure 4206.6848;xunit kev;bintype counts 0.0000000 0.0049999999 11.294048 1.00000 0.0049999999 0.0099999998 11.334458 1.00000 0.0099999998 0.015000000 11.374868 1.0
Berkeley - ASTRO - 00350311
# tmin tmax 10.0000 36.689731 [ksec];instrument XRT;exposure 3611.1543;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Berkeley - ASTRO - 00350311
# tmin tmax 10.0000 36.689731 [ksec];instrument XRT;exposure 3611.1543;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
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Trinity U - CS - 1300
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Trinity U - CS - 1300
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CSU LA - UNIV - 006
Administrative ProcedureSubject: 1.0. UNIVERSITY SMOKING POLICYNumber:Effective Supercedes: Page:0069-19-05 11-07-03 1 of 6PURPOSE: To establish the policy and procedures governing smoking in the University environment and to maximize a safe
CSU LA - UNIV - 006
ondhand smoke in the University environment and to maximize a safe and healthful working and learning atmosphere.ees of the University-Student Union, University Auxiliary Services, Inc., University-Student Housing, Associated Students, Inc.,mploy
CSU LA - UNIV - 006
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CSU LA - UNIV - 006
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CSU LA - UNIV - 006
Appendix 8.2.CALIFORNIA STATE UNIVERSITY, LOS ANGELES SMOKING WAIVER REQUESTApplication must be submitted for approval to the Associate Vice President for Administration and Finance (AVPAF)Office, Administration building, room 514, at least 10 work
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PROPERTIES, AND ROOMSme facilities, properties, rooms, and other limited indoor and outdoor areas to the Campus Physical Planning Committee (CPPC)ity, including auxiliaries, and individual faculty, staff, and students.ablished Campus Planning C
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Appendix 8.1. CAMPUS PHYSICAL PLANNING COMMITTEE (CPPC) AGENDA ITEM - REQUEST TO NAME FACILITIES INTRODUCTION: Requests for Consideration The CPPC will respond to requests for all academic and non-academic areas of the campus for changes, approval t
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Appendix 8.1. CAMPUS PHYSICAL PLANNING COMMITTEE (CPPC) AGENDA ITEM - REQUEST TO NAME FACILITIES INTRODUCTION: Requests for Consideration The CPPC will respond to requests for all academic and non-academic areas of the campus for changes, approval t