Using Third-Party Data for Travel Demand Modeling Comparison of Targeted Marketing, Census, and Household Travel Survey Data

被引:3
|
作者
Kressner, Josephine D. [1 ]
Garrow, Laurie A. [1 ]
机构
[1] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
D O I
10.3141/2442-02
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This tesearch investigated how targeted marketing (TM) data could be used as a source for up-to-date demographic and socioeconomic information. TM data provide several advantages over data from the Bureau of the Census, including the ability to incorporate additional behavioral information through lifestyle variables and to conduct longitudinal studies at a low cost. This paper describes TM data and a comparison of an Atlanta, Georgia, sample with census data. The most recent household travel survey conducted by the Atlanta Regional Commission was compared with census data; both weighted and unweighted survey data were used. Results showed that the distributions of socio-demographic variables were similar, particularly for age, gender, household income, and the presence of children. The largest discrepancies between TM data and census data were associated with educational attainment and ethnicity; however, these discrepancies were comparable to those observed in the household travel survey.
引用
收藏
页码:8 / 19
页数:12
相关论文
共 50 条
  • [41] Inferring weekly primary activity patterns using public transport smart card data and a household travel survey
    Medina, Sergio Arturo Ordonez
    TRAVEL BEHAVIOUR AND SOCIETY, 2018, 12 : 93 - 101
  • [42] Estimating Value of Travel Time Savings by Using Large-Scale Household Survey Data from Japan
    Kato, Hironori
    Sakashita, Ayanori
    Tsuchiya, Takayoshi
    Oda, Takanori
    Tanishita, Masayoshi
    TRANSPORTATION RESEARCH RECORD, 2011, (2231) : 85 - 92
  • [43] Assessing the Performance of Gradient-Boosting Models for Predicting the Travel Mode Choice Using Household Survey Data
    Pineda-Jaramillo, Juan
    Arbelaez-Arenas, Oscar
    JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2022, 148 (02)
  • [44] Travel mode imputation using GPS and accelerometer data from a multi-day travel survey
    Broach, Joseph
    Dill, Jennifer
    McNeil, Nathan Winslow
    JOURNAL OF TRANSPORT GEOGRAPHY, 2019, 78 : 194 - 204
  • [45] A count data travel cost model of theatre demand using aggregate theatre booking data
    Willis, K. G.
    Snowball, J. D.
    Wymer, C.
    Grisolia, Jose
    JOURNAL OF CULTURAL ECONOMICS, 2012, 36 (02) : 91 - 112
  • [46] A count data travel cost model of theatre demand using aggregate theatre booking data
    K. G. Willis
    J. D. Snowball
    C. Wymer
    José Grisolía
    Journal of Cultural Economics, 2012, 36 : 91 - 112
  • [47] Benchmarking third-party logistics providers using data envelopment analysis: an update
    Min, Hokey
    Joo, Seong-Jong
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2009, 16 (05) : 572 - 587
  • [48] Model-Based Synthesis of Household Travel Survey Data in Small and Midsize Metropolitan Areas
    Long, Liang
    Lin, Jie
    Pu, Wenjing
    TRANSPORTATION RESEARCH RECORD, 2009, (2105) : 64 - 70
  • [49] An evaluation of emerging data collection technologies for travel demand modeling: from research to practice
    Lee, Richard J.
    Sener, Ipek N.
    Mullins, James A., III
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2016, 8 (04): : 181 - 193
  • [50] Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data
    Ji, Yanjie
    Cao, Yu
    Liu, Yang
    Guo, Weihong
    Gao, Liangpeng
    IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 13 (10) : 1525 - 1532