Last modified: 2016-10-13
Abstract
In recent years, a great deal of resources have been invested in public transportation development in Taiwan. Although the Ratio of the Users of Public Transport has increased significantly, the pace of growth has already started to slow down. As a result, all levels of the governments are attempting to boost the ratio of the users of public transport by planning new transit service routes with potential. Due to the limitations of forecasts derived from conventional transportation demand data, some local and foreign scholars and research organizations have employed the service population indicator to plan transit service routes.
In this study, we utilize a variety of geospatial data, such as village and street number diagrams from the Taiwan Geospatial One-Stop Portal, created by the Information Center, Ministry of the Interior; the Household Registration Statistics database; the Bus Dynamic Information System implemented by the Directorate General of Highways, Ministry of Transportation and Communications (MOTC); and other big data sources such as income and land use data. This will enable government transportation agencies to assess the benefits of new transit routes using transportation demand data and the service population indicator.
Based on this analysis, highway authorities can perform objective assessments to quickly determine if the public transit service in a particular area is adequate. This helps remove the administrative blind spots caused by the necessity to employ rules of thumb in the past due to the lack of relevant information, thus making the supply of public transportation services better able to meet the needs of local residents. The analysis will improve the administrative capability of the highway authorities to properly allocate resources for transportation services.
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References
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