ANALYSIS OF RAILWAY USER TRAVEL BEHAVIOUR PATTERNS OF DIFFERENT AGE GROUPS

被引:4
|
作者
Akiyama, Takamasa [1 ]
Okushima, Masashi [2 ]
机构
[1] Kansai Univ, Fac Environm & Urban Engn, Dept Civil Environm & Appl Syst Engn, Osaka, Japan
[2] Univ Tokushima, Grad Sch Adv Technol & Sci, Dept Ecosyst Engn, Tokushima, Japan
关键词
Aging society with a falling birthrate; Urban activity; Travel behaviour pattern; Urban railway demand; Town development;
D O I
10.1016/S0386-1112(14)60232-6
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In recent years, there have been requirments for a transport environment that will foster the development of safe, comfortable townships. The study of urban activities amid an aging society and effective use of public transport modes in addressing environmental problems have become particularly important issues. This study analyzes travel behaviour patterns of varying age groups using urban railways in order to examine the relationship between urban public transport use and urban activities. Specifically, it analyzes the composition of urban activity and travel behaviour patterns among urban railway users in the Keihanshin (Kyoto-Osaka-Kobe) metropolitan area. This paper looks at urban activities within aging societies and identifies the differences in travel behaviour of railway users by separating them into young, middle aged and senior citizen age groups. Analysis makes particular use of the Railway Station Database, which is a compilation of existing studies into attributes of railway stations and their surroundings, and results of person trip surveys. Rail use behaviour characteristics have been sorted by age group because mobility via urban railway systems is varied by age group. As a result, differences in railway usage patterns (travel objectives, distance and time, and number of transfers, etc.) have been identified and so too have differences in urban activity patterns related to free activities (shopping, recreation). Furthermore, the study developed a travel behaviour pattern estimation model which is capable of categorizing specific transport behaviour patterns and estimating rail users and transport behaviour patterns from the relationship with areas surrounding railway stations to ensure future mobility by public transport for older age groups. The results make it possible to put forward proposals for urban rail services that will facilitate urban activities for the different age groups. Eventually, it will be possible to understand the effect of rail transport as public transport mobility on urban activities of different age groups.
引用
收藏
页码:6 / 17
页数:12
相关论文
共 50 条
  • [1] Travel patterns of three distinct driver age groups in Greece
    Spyropoulou, I.
    Papadimitriou, E.
    Yannis, G.
    Golias, J.
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT, 2007, 160 (03) : 117 - 124
  • [2] CONSUMPTION PATTERNS OF DIFFERENT AGE GROUPS - ECONOMETRIC ANALYSIS OF FAMILY BUDGETS
    CHU, K
    [J]. GERONTOLOGIST, 1973, 13 (03): : 68 - 68
  • [3] Nationwide Analysis of Dog Bite Injuries: Different Age Groups, Different Injury Patterns
    Tam, Benjamin
    Matsushima, Kazuhide
    Chiba, Hiroto
    Park, Timothy
    Slocum, Charles
    Lam, Lydia
    Inaba, Kenji
    Demetriades, Demetrios
    [J]. AMERICAN SURGEON, 2021, 87 (10) : 1612 - 1615
  • [4] 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
  • [5] Research on Marketing Strategy of Railway Passenger Travel Behaviour Analysis in Competitive Section
    Hao, Xiaopei
    Zhu, Jiansheng
    Shan, Xinhua
    Li, Wen
    [J]. Scientific Programming, 2022, 2022
  • [6] Research on Marketing Strategy of Railway Passenger Travel Behaviour Analysis in Competitive Section
    Hao, Xiaopei
    Zhu, Jiansheng
    Shan, Xinhua
    Li, Wen
    [J]. SCIENTIFIC PROGRAMMING, 2022, 2022
  • [7] Different paths and same destinations? An analysis of the convergence in Internet usage patterns between different age groups
    Barrantes, Roxana
    Vargas, Eduardo
    [J]. ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, 2019, 85 (06):
  • [8] On mobile user behaviour patterns
    Vojnovic, Milan
    [J]. 2008 INTERNATIONAL ZURICH SEMINAR ON COMMUNICATIONS, 2008, : 26 - 29
  • [9] Spatial patterns of travel behaviour in Poland
    Bartosiewicz, Bartosz
    Pielesiak, Iwona
    [J]. TRAVEL BEHAVIOUR AND SOCIETY, 2019, 15 : 113 - 122
  • [10] Patterns of health behaviour associated with active travel: a compositional data analysis
    Foley, Louise
    Dumuid, Dorothea
    Atkin, Andrew J.
    Olds, Timothy
    Ogilvie, David
    [J]. INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2018, 15