Chandra R. Bhat, Rajesh Paleti and Marisol Castro, "A New Utility-Consistent Econometric Approach to Multivariate Count Data Modeling", Journal of Applied Econometrics, Vol. 30, No. 5, pp. 806-825. The code used to estimate the models presented in the paper can be found at: http://www.ce.utexas.edu/prof/bhat/FULL_CODES.htm We provide the database used in this research. The data sample is extracted from the 2009 National Household Travel Survey (NHTS), conducted in the United States, which collected information on more than one million trips to/from each out-of-home episode undertaken by 320,000 individuals from 150,000 households sampled from all over the country for one day of the week. At the time of writing, the dataset could be downloaded at: http://nhts.ornl.gov/download.shtml The authors appended accessibility measures, as derived by Chen et al (2011)*, to the NHTS for the Southern California region comprising of Imperial, Los Angeles, Orange, Riverside, San Bernardino and Ventura counties. To append these measures to the NHTS database, we used the California add-on NHTS data that contains Census tract information of home and work location. These measures are NOT included in the database provided here, due to confidentiality issues. The accessibility measures can be requested from: Kostas Goulias Geography Department University of California, Santa Barbara Santa Barbara, CA 93106-4060 office: 5706 Ellison Hall phone:(805) 284-1597 fax:(805)893-2578 email: goulias@geog.ucsb.edu The Census tract data can be obtained from the NHTS: http://nhts.ornl.gov/contactUs.shtml The data are contained in the file data-bhat-paleti-castro.txt, which is an ASCII file in DOS format. This file contains 3,248 rows and 174 columns (see data dictionary below), in addition to the header with the name of each column. The database has an unbalanced panel data structure with one record for every trip. So, if an individual makes two trips during the day, the database includes two records for this person, with each row having information about the time-of-day block during which the trip was made. All the trips in the database correspond to 2,113 workers. The file data-bhat-paleti-castro.txt is zipped in the file bpc-data.zip. Unix/Linux users should use "unzip -a". *********** Data dictionary *********** Column 1-44: Dictionary can be found at: http://nhts.ornl.gov/2009/pub/Codebook.pdf Column 45: uno Value of “1” for each observation Column 46: sero Value of “0” for each observation Column 47: BWStops Number of stops at the before-work (BW) time-of-day block Column 48: HWStops Number of stops at the home-to-work commute (HWC) time-of-day block Column 49: WBStops Number of stops at the work-based (WB) time-of-day block Column 50: WHStops Number of stops at the work-to-home commute (WHC) time-of-day block Column 51: AWStops Number of stops at the after home arrival from work (AW) time-of-day block Column 52: BW Worker did a stop at the BW time-of-day block (1 yes, 0 no) Column 53: HW Worker did a stop at the HWC time-of-day block (1 yes, 0 no) Column 54: WB Worker did a stop at the WB time-of-day block (1 yes, 0 no) Column 55: WH Worker did a stop at the WHC time-of-day block (1 yes, 0 no) Column 56: AW Worker did a stop at the AW time-of-day block (1 yes, 0 no) Column 57: BWTrips Number of trips at the BW time-of-day block Column 58: HWTrips Number of trips at the HWC time-of-day block Column 59: WBTrips Number of trips at the WB time-of-day block Column 60: WHTrips Number of trips at the WHC time-of-day block Column 61: AWTrips Number of trips at the AW time-of-day block Column 62: TotStops Total number of stops in travel day Column 63: IndID Unique traveler ID Column 64: BWPanel 1 if the trip was made during the BW period, 0 otherwise Column 65: HWPanel 1 if the trip was made during the HWC period, 0 otherwise Column 66: WBPanel 1 if the trip was made during the WB period, 0 otherwise Column 67: WHPanel 1 if the trip was made during the WHC period, 0 otherwise Column 68: AWPanel 1 if the trip was made during the AW period, 0 otherwise Column 69: RWhite 1 if worker race is White, 0 otherwise Column 70: RBlack 1 if worker race is African American/Black, 0 otherwise Column 71: RAsian 1 if worker race is Asian Only, 0 otherwise Column 72: RNatAm 1 if worker race is American Indian/Alaskan Native, 0 otherwise Column 73: RHawai 1 if worker race is Native Hawaiian/other Pacific, 0 otherwise Column 74: RMulti 1 if worker race is Multiracial, 0 otherwise Column 75: RHisp 1 if worker race is Hispanic/Mexican, 0 otherwise Column 76: ROther 1 if worker race is Other, 0 otherwise Column 77: HBlack 1 if worker is Hispanic and African American/Black, 0 otherwise Column 78: NHBlack 1 if worker is not-Hispanic and African American/Black, 0 otherwise Column 79: HNBlack 1 if worker is Hispanic and not African American/Black, 0 otherwise Column 80: NHisp 1 if worker is not-Hispanic, 0 otherwise Column 81: NoDriver 1 if worker is not a driver, 0 otherwise Column 82: Female 1 if worker is female, 0 otherwise Column 83: ELessH 1 if worker's education is Less then high school graduate, 0 otherwise Column 84: EHgSc 1 if worker's education is High school graduate, include GED, 0 otherwise Column 85: ESomCol 1 if worker's education is Some college or Associate's degree (Vocational), 0 otherwise Column 86: EBach 1 if worker's education is Bachelor's degree (BA, AB, BS), 0 otherwise Column 87: EGrad 1 if worker's education is Graduate or Professional Degree (MA,MS,MBA,MD,PHD,EdD,JD), 0 otherwise Column 88: Age24 1 if worker's age is less than 25 years, 0 otherwise Column 89: Age30 1 if worker's age is less than 30 years, 0 otherwise Column 90: Age50 1 if worker's age is more than 50 years, 0 otherwise Column 91: Age55 1 if worker's age is more than 55 years, 0 otherwise Column 92: Age60 1 if worker's age is more than 60 years, 0 otherwise Column 93: Age65 1 if worker's age is more than 65 years, 0 otherwise Column 94: MedC 1 if worker has a medical condition making it hard to travel, 0 otherwise Column 95: PAWork 1 if worker's primary activity last week was Working, 0 otherwise Column 96: PAAbs 1 if worker's primary activity last week was Temporarily absent from a job or business, 0 otherwise Column 97: PALook 1 if worker's primary activity last week was Looking for work, 0 otherwise Column 98: PAHome 1 if worker's primary activity last week was A homemaker, 0 otherwise Column 99: PASch 1 if worker's primary activity last week was Going to school, 0 otherwise Column 100: PARet 1 if worker's primary activity last week was Retired, 0 otherwise Column 101: PAElse 1 if worker's primary activity last week was Doing something else, 0 otherwise Column 102: IntDel 1 if at least one internet purchase was delivered at the worker's home, 0 otherwise Column 103: IntPur 1 if worker purchased at least once via internet in past month, 0 otherwise Column 104: I_alw 1 if worker used the internet almost every day in past month, 0 otherwise Column 105: BikeLW 1 if worker did at least one biking trip in past week, 0 otherwise Column 106: WalkLW 1 if worker did at least one walking trip in past week, 0 otherwise Column 107: TransLM 1 if worker did at least one trip by transit in past month, 0 otherwise Column 108: WorkHome 1 if worker worked from home at least once in past month, 0 otherwise Column 109: I_noalw 1 if worker does not use the internet almost every day, 0 otherwise Column 110: DrvPers Number of drivers in the household divided by number of people in the household Column 111: DrvAdul Number of adults in the household divided by number of people in the household Column 112: NChild Number of children in the household Column 113: HHSize1 1 if household size is one, 0 otherwise Column 114: HHSize2 1 if household size is two, 0 otherwise Column 115: HHSize3 1 if household size is three or more, 0 otherwise Column 116: Work1 1 if there is one worker in the household, 0 otherwise Column 117: Work2 1 if there are two workers in the household, 0 otherwise Column 118: Work3m 1 if there are three workers in the household, 0 otherwise Column 119: Inc1 1 if derived total household income < $5,000, 0 otherwise Column 120: Inc2 1 if derived total household income between $5,000 - $9,999, 0 otherwise Column 121: Inc3 1 if derived total household income between $10,000 - $14,999, 0 otherwise Column 122: Inc4 1 if derived total household income between $15,000 - $19,999, 0 otherwise Column 123: Inc5 1 if derived total household income between $20,000 - $24,999, 0 otherwise Column 124: Inc6 1 if derived total household income between $25,000 - $29,999, 0 otherwise Column 125: Inc7 1 if derived total household income between $30,000 - $34,999, 0 otherwise Column 126: Inc8 1 if derived total household income between $35,000 - $39,999, 0 otherwise Column 127: Inc9 1 if derived total household income between $40,000 - $44,999, 0 otherwise Column 128: Inc10 1 if derived total household income between $45,000 - $49,999, 0 otherwise Column 129: Inc11 1 if derived total household income between $50,000 - $54,999, 0 otherwise Column 130: Inc12 1 if derived total household income between $55,000 - $59,999, 0 otherwise Column 131: Inc13 1 if derived total household income between $60,000 - $64,999, 0 otherwise Column 132: Inc14 1 if derived total household income between $65,000 - $69,999, 0 otherwise Column 133: Inc15 1 if derived total household income between $70,000 - $74,999, 0 otherwise Column 134: Inc16 1 if derived total household income between $75,000 - $79,999, 0 otherwise Column 135: Inc17 1 if derived total household income between $80,000 - $99,999, 0 otherwise Column 136: Inc18 1 if derived total household income > = $100,000, 0 otherwise Column 137: H_Rent 1 if housing unit rented, 0 otherwise Column 138: HSingle 1 if housing unit type is Detached single house, 0 otherwise Column 139: HDuplex 1 if housing unit type is Duplex, 0 otherwise Column 140: HRow 1 if housing unit type is Rowhouse or townhouse, 0 otherwise Column 141: HApt 1 if housing unit type is Apartment, condominium, 0 otherwise Column 142: HOth 1 if housing unit type is Other, 0 otherwise Column 143: USurr 1 if home address is in an area surrounded by urban areas, 0 otherwise Column 144: UYes 1 if home address is in an urban area, 0 otherwise Column 145: UCluster 1 if home address is in an urban cluster, 0 otherwise Column 146: Mon 1 if travel day was Monday, 0 otherwise Column 147: Tue 1 if travel day was Tuesday, 0 otherwise Column 148: Wed 1 if travel day was Wednesday, 0 otherwise Column 149: Thu 1 if travel day was Thursday, 0 otherwise Column 150: Fri 1 if travel day was Friday, 0 otherwise Column 151: UseTrans 1 if worker used public transportation on travel day, 0 otherwise Column 152: FlexWork 1 if worker can set or change start time of work day, 0 otherwise Column 153: More1Job 1 if worker has more than one job, 0 otherwise Column 154: SelfEmp 1 if worker is self-employed, 0 otherwise Column 155: CanWorH 1 if worker has the option to work at home, 0 otherwise Column 156: FullT 1 if worker works full time, 0 otherwise Column 157: PartT 1 if worker works part time, 0 otherwise Column 158: MultJob 1 if worker has multiple jobs, 0 otherwise Column 159: Dist1 1 if distance home to work is less than 1 mile, 0 otherwise Column 160: Dist2 1 if distance home to work is less than 2 miles, 0 otherwise Column 161: Dist3 1 if distance home to work is less than 3 miles, 0 otherwise Column 162: Dist5 1 if distance home to work is less than 5 miles, 0 otherwise Column 163: Dist10 1 if distance home to work is more than 10 miles, 0 otherwise Column 164: Dist20 1 if distance home to work is more than 20 miles, 0 otherwise Column 165: caseid Case ID Column 166: Inc15m 1 if derived total household income > = $70,000, 0 otherwise Column 167: Inc16m 1 if derived total household income > = $75,000, 0 otherwise Column 168: Inc17m 1 if derived total household income > = $80,000, 0 otherwise Column 169: EHigh 1 if worker's education is Less then high school graduate or High school graduate, include GED, 0 otherwise Column 170: EGradu 1 if worker's education is Bachelor's degree (BA, AB, BS) or Graduate or Professional Degree (MA,MS,MBA,MD,PHD,EdD,JD), 0 otherwise Column 171: UNCLUST 1 if home address is not in an urban cluster, 0 otherwise Column 172: NoColl 1 if worker's education is not Bachelor's degree (BA, AB, BS) or Graduate or Professional Degree (MA,MS,MBA,MD,PHD,EdD,JD), 0 otherwise Column 173: IndID1 Worker ID * Chen Y, Ravulaparthy S, Deutsch K, Dalal P, Yoon SY, Lei T, Goulias KG, Pendyala PM, Bhat CR, Hu H-H. 2011. Development of indicators of opportunity-based accessibility. Transportation Research Record 2255: 58-68