Regeneration of trips at Plaza Alam Sentral for the improvement of transportation system to/from shopping complex
In recent years, there are rapid developments of shopping complex to fulfil the urban lifestyle. Based on the traffic impact assessment (TIA) practice, a shopping complex provides a parking space to meet the parking demand. However there is difficulty to obtain parking especially during noon at s...
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/10102/1/NURULAIN%20BINTI%20ROSLAN%20%23.PDF http://umpir.ump.edu.my/id/eprint/10102/ |
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| Summary: | In recent years, there are rapid developments of shopping complex to fulfil the urban
lifestyle. Based on the traffic impact assessment (TIA) practice, a shopping complex
provides a parking space to meet the parking demand. However there is difficulty to
obtain parking especially during noon at several major shopping complexes. Therefore,
it entails some of the shopping center trip factor and indirectly affects the traffic system.
The purpose of this paper is to determine the trip regeneration rate of the shopping
center, in relation between the characteristic of shopping complex as independent
variable with the estimated trip generation rate. In details, this study will determine the
number of vehicle and pedestrian generated from the shopping complex for the purpose
to compare between estimation trips with actual data. Level of service at the parking
entering is determined by using link capacity analysis. Similar with the TIA practice,
the approach to collect data are conventional by observation, taking picture and data
recording. Besides that, a site inventory is conducted to determined number of shop and
floor area. According to the analysis, during weekend produce more trip than weekday
for both vehicle and pedestrian. Besides that, through the study the number of vehicle
and pedestrian is higher during noon. It is obviously show, a shopping complex give
differences trip rate based on the function and surrounding building of the study area. In
the other hand, result of the observation showed, the estimation trip generation rate by
regression equation are greatly differ by producing higher value than the actual data.
Inaccuracy might be happened during the survey and an improvement is needed. In
conclusion, this study successfully determined trip generation rate for a shopping
complex. Further study should be conduct to improve this research. A model of
regression equation should be proposed with variables model, in order to equally valid
the estimation trip generation rate of shopping complex. Finally, by improving the
provided transportation system it develop uncongested city and environment
sustainability. |
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