Construction of daytime activity profiles from household travel survey data

被引:0
|
作者
Roddis, SM [1 ]
Richardson, AJ [1 ]
机构
[1] RMIT Univ, Transport Res Ctr, Melbourne, Vic 8007, Australia
来源
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The perception of population as the number of people living in a region is entrenched firmly in the minds of many urban planners and transport professionals. In the past, the use of such a residential or home-based description of population would have suited most local area planning and transportation modeling needs. Tn light of this, the use of a daytime distribution of population to locate services and facilities forms a radical departure from conventional practice. However, there is a clear need to consider the location of people across the day in planning for the provision of facilities that will be used during the day. Data from the Victorian Activity and Travel Survey were used to develop methods by which daytime population behavior can be examined. Specifically, two measures were developed. A population profile provides an estimate of population within any region at any time of the day. A visitation curve supplements the population profile by monitoring the number of people using a region across the day. Further disaggregation of the population to reveal behavioral and demographic characteristics constitutes an important component of the methodology.
引用
收藏
页码:102 / 108
页数:7
相关论文
共 50 条
  • [31] French household travel survey: The next generation
    Richard, Olivier
    Rabaud, Mathieu
    [J]. TRANSPORT SURVEY METHODS IN THE ERA OF BIG DATA: FACING THE CHALLENGES, 2018, 32 : 383 - 393
  • [32] Household Travel Data Simulation Tool
    Javanmardi, Mahmoud
    Rashidi, Taha H.
    Mohammadian, Abolfazl
    [J]. TRANSPORTATION RESEARCH RECORD, 2010, (2183) : 9 - 18
  • [33] HOUSEHOLD SURVEY DATA
    WILSON, R
    [J]. JOURNAL OF TOXICOLOGY-CLINICAL TOXICOLOGY, 1984, 21 (1-2): : 289 - 297
  • [34] Visualisation of trip chaining behaviour and mode choice using household travel survey data
    Wallner G.
    Kriglstein S.
    Chung E.
    Kashfi S.A.
    [J]. Public Transport, 2018, 10 (3) : 427 - 453
  • [35] USE OF AN ACTIVITY-BASED DIARY TO COLLECT HOUSEHOLD TRAVEL-DATA
    STOPHER, PR
    [J]. TRANSPORTATION, 1992, 19 (02) : 159 - 176
  • [36] Active travel in London: The role of travel survey data in describing population physical activity
    Fairnie, Graeme A.
    Wilby, David J. R.
    Saunders, Lucinda E.
    [J]. JOURNAL OF TRANSPORT & HEALTH, 2016, 3 (02) : 161 - 172
  • [37] Household vs. individual survey practices - implications for household travel survey expenditures in Germany
    Hubrich, Stefan
    Wittwer, Rico
    Gerike, Regine
    [J]. TRANSPORT SURVEY METHODS IN THE ERA OF BIG DATA: FACING THE CHALLENGES, 2018, 32 : 404 - 415
  • [38] Travel Behavior Patterns of Different Socially Disadvantaged Groups Analysis of Household Travel Survey Data for a Dispersed Metropolitan Area
    Dodson, Jago
    Burke, Matthew
    Evans, Rick
    Gleeson, Brendan
    Sipe, Neil
    [J]. TRANSPORTATION RESEARCH RECORD, 2010, (2163) : 24 - 31
  • [39] UK air travel preferences: Evidence from an East Midlands household survey
    Ryley, Tim
    Davison, Lisa
    [J]. JOURNAL OF AIR TRANSPORT MANAGEMENT, 2008, 14 (01) : 43 - 46
  • [40] Automobile dependence and physical inactivity: Insights from the California Household Travel Survey
    Chakrabarti, Sandip
    Shin, Eun Jin
    [J]. JOURNAL OF TRANSPORT & HEALTH, 2017, 6 : 262 - 271