Difference between revisions of "Atom FinalWiki"
Sh.yan.2012 (talk | contribs) |
Sh.yan.2012 (talk | contribs) |
||
| Line 34: | Line 34: | ||
|} | |} | ||
| + | |||
| + | = ABSTRACT = | ||
| + | In Singapore, roads today already take up 12% of its total land area and with the limited land available. Singapore cannot afford to exhaust its land area by building more roads to accommodate vehicles and further expand the road network. | ||
| + | <br><br> | ||
| + | Parking space is simply the provision for the storage of vehicles. Car parks can be provided in a variety of land uses ranging from residential to shopping centers. Furthermore, car park can cause a serious impact on aesthetics whether it is on street, or in multi-storey aboveground or underground structures. These car parks consume both land and resources, that might be put to better usage in other areas, for instance, building another development or private homes. | ||
| + | <br><br> | ||
| + | A strategic approach to parking would connect the separate decisions of parking provision at individual sites with the achievement of wider planning goals. For instance, saving the land for other usage. A poor planning in car park would result in jams, bad traffic management and causing overspill at the surrounding areas. This is avoidable only if appropriate planning process is in placed, it helps to determine the future parking arrangement associated hence, preventing it to cause unnecessary headaches for the drivers. The main concern of planning parking activity will take note of the ways land and natural environments are conserved, valued, developed or organized using geographical understanding. | ||
| + | <br><br> | ||
| + | Data mining is the computational process of discovering patterns in large datasets, also known as “big data”. Whereas, for our project, the data collected are in time-series format. And time-series data is considered to be multidimensional data, as there is one observation per time unit and each time unit represents a dimension. | ||
| + | <br><br> | ||
| + | Parking utilization provides a time-series of typical parking demand for the development in that area that parking day. Thus, by comparing parking utilization comprehensively, the study will be able to clearly identify patterns and trends of those high and low usage car parks. | ||
| + | <br><br> | ||
| + | Hence, this paper seeks to explore using time-series data mining techniques to discover patterns and trends of similar car park sites within 29 shopping retail malls. | ||
Revision as of 01:03, 16 April 2016
|
|
|
|
|
|
ABSTRACT
In Singapore, roads today already take up 12% of its total land area and with the limited land available. Singapore cannot afford to exhaust its land area by building more roads to accommodate vehicles and further expand the road network.
Parking space is simply the provision for the storage of vehicles. Car parks can be provided in a variety of land uses ranging from residential to shopping centers. Furthermore, car park can cause a serious impact on aesthetics whether it is on street, or in multi-storey aboveground or underground structures. These car parks consume both land and resources, that might be put to better usage in other areas, for instance, building another development or private homes.
A strategic approach to parking would connect the separate decisions of parking provision at individual sites with the achievement of wider planning goals. For instance, saving the land for other usage. A poor planning in car park would result in jams, bad traffic management and causing overspill at the surrounding areas. This is avoidable only if appropriate planning process is in placed, it helps to determine the future parking arrangement associated hence, preventing it to cause unnecessary headaches for the drivers. The main concern of planning parking activity will take note of the ways land and natural environments are conserved, valued, developed or organized using geographical understanding.
Data mining is the computational process of discovering patterns in large datasets, also known as “big data”. Whereas, for our project, the data collected are in time-series format. And time-series data is considered to be multidimensional data, as there is one observation per time unit and each time unit represents a dimension.
Parking utilization provides a time-series of typical parking demand for the development in that area that parking day. Thus, by comparing parking utilization comprehensively, the study will be able to clearly identify patterns and trends of those high and low usage car parks.
Hence, this paper seeks to explore using time-series data mining techniques to discover patterns and trends of similar car park sites within 29 shopping retail malls.
