Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building and Real Estate | en_US |
| dc.contributor.advisor | Wei, Hsi Hsien (BRE) | en_US |
| dc.creator | Chu, Hoi Shan | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/13963 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Accessibility index study in satellite town : a case study of Tuen Mun, Hong Kong | en_US |
| dcterms.abstract | Accessibility is generally understood as ‘ease of reaching’ in transport and land use planning. It is a concept expressing the relationship between the activity system located in a region and the transportation system serving it (Cascetta, 2012). First emerged in the 1920s regional economic planning and location analysis (Batty, 2009), Accessibility has been serving as a cornerstone of spatial planning and urban modeling. The application of it in urban studies has developed since the pivotal study ‘How Accessibility Shapes Land Use’ by Hansen (1959), which conceptualized Accessibility as the latent capacity for spatial interaction through employment growth modeling in Washington, D.C., USA. To date, by integrating the distribution of human activities and their interconnections, it enables policymakers to balance competing priorities between transportation systems and land use strategies. | en_US |
| dcterms.abstract | The measurement of the ease of reaching essential services, opportunities and amenities is called Accessibility Index (AI). Under the existing theoretical and practical frameworks, objective traffic engineering attributes such as walking distance to the transit stop, waiting time, frequency of transport means, etc., are the common metrics employed by ‘Conventional Accessibility’ measurement. On the other hand, studies of ‘Perceived Accessibility’ have gained traction as researchers recognized limitations in the mentioned traditional metrics which ignore users’ subjective psychosocial factors such as demographic characteristics, mobility resources, reasons for travel, etc. (Bert van Wee & Karst Geurs, 2011) and geospatial features like terrain, obstacles to transit, infrastructure distribution, etc. (Lättman, et al., 2024). | en_US |
| dcterms.abstract | The objective and subjective metrics, however, do not draw a common consensus on the use of Accessibility measures (Handy, 2020). To address such gap, the study deploys a mixed methodology to collect both quantitative and qualitative data through Literature Review of academic and practice sources, and stakeholders’ direct feedback via Questionnaire and Semi-structured Interview respectively. To response to the Accessibility metrics commonly adopted in the field, which are mostly Euro-centric as described by Jamei et al. (2022), the study is contextualized by integrating Hong Kong’s geospatial characteristics, including public transport efficiency, mixed land use and socio-cultural contexts. The vicinity of Castle Peak Road-Castle Peak Bay in Tuen Mun, Hong Kong, a fringe area in the satellite town where Mass Transit Railway (the major public transport means with the largest passenger capacity in Hong Kong) is not reachable, is taken as the study area because of its diversity of demographics, land use and accessibility means. | en_US |
| dcterms.abstract | The findings discover that the scale and perceptiveness difference, and geospatial, contextual and technological factors pose impacts on local perception of Accessibility. Such critical attributes reflect that the current metrics employed by AI assessment in Hong Kong (BEAM Plus New Buildings v2.0, 2025), which are traffic data driven, are deficient. The study also evaluates the applicability of global accessibility models to Hong Kong, makes suggestions to determine AI and recommends the shift from mobility-based to accessibility-oriented approach to achieve socially-equitable urban planning for the areas away from major transport hub in satellite towns in Hong Kong. | en_US |
| dcterms.extent | 186 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2025 | en_US |
| dcterms.educationalLevel | DIREC | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8429.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 6.85 MB | Adobe PDF | View/Open |
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