YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Urban Planning and Development
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Urban Planning and Development
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Development of Parking Demand Models in Hong Kong

    Source: Journal of Urban Planning and Development:;2000:;Volume ( 126 ):;issue: 002
    Author:
    S. C. Wong
    ,
    C. O. Tong
    ,
    Wilkie C. H. Lam
    ,
    Rayson Y. C. Fung
    DOI: 10.1061/(ASCE)0733-9488(2000)126:2(55)
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes the parking demand models for private cars and goods vehicles developed as part of a parking demand study that was completed in Hong Kong in 1995. In the model, it is assumed that there is a linear and additive demand function relating land-use variables in a zone (such as jobs, schools, or households) with parking demand. Further, the parking activity associated with each land-use variable is assumed to have a unique parking accumulation profile. Surveys were conducted to determine these profiles. A unitgraph, which is defined as the parking accumulation profile per parking activity, was constructed for each land-use variable. Given the land-use variables, the parking demand function, and the unitgraphs, the total parking accumulation profile in each zone is determined.
    • Download: (186.3Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Development of Parking Demand Models in Hong Kong

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/38379
    Collections
    • Journal of Urban Planning and Development

    Show full item record

    contributor authorS. C. Wong
    contributor authorC. O. Tong
    contributor authorWilkie C. H. Lam
    contributor authorRayson Y. C. Fung
    date accessioned2017-05-08T21:05:39Z
    date available2017-05-08T21:05:39Z
    date copyrightJune 2000
    date issued2000
    identifier other%28asce%290733-9488%282000%29126%3A2%2855%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38379
    description abstractThis paper describes the parking demand models for private cars and goods vehicles developed as part of a parking demand study that was completed in Hong Kong in 1995. In the model, it is assumed that there is a linear and additive demand function relating land-use variables in a zone (such as jobs, schools, or households) with parking demand. Further, the parking activity associated with each land-use variable is assumed to have a unique parking accumulation profile. Surveys were conducted to determine these profiles. A unitgraph, which is defined as the parking accumulation profile per parking activity, was constructed for each land-use variable. Given the land-use variables, the parking demand function, and the unitgraphs, the total parking accumulation profile in each zone is determined.
    publisherAmerican Society of Civil Engineers
    titleDevelopment of Parking Demand Models in Hong Kong
    typeJournal Paper
    journal volume126
    journal issue2
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)0733-9488(2000)126:2(55)
    treeJournal of Urban Planning and Development:;2000:;Volume ( 126 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian