Parking Generation by “Pharmacy” Land Use Type in Johor Bahru, Malaysia

2014 ◽  
Vol 69 (2) ◽  
Author(s):  
Ishtiaque Ahmed ◽  
Izzul Ramli ◽  
Mohd Rosli Hainin

Transportation planners need prior data on "Parking Generations" for new developments and to predict changes in the parking generation due to modifications in the existing land use types. Parking Generations depends on various factors including the socioeconomic characteristics. The Institute of Transportation Engineers (ITE) is an international body of transport professionals that publishes and updates the information on parking generation for various land use types in USA. In Malaysia, no parking generation guidebook exists. Transport planners in Malaysia have to depend on the parking generation data and models developed based on other countries which may be misleading and inaccurate. The ITE provides parking generation data for 106 different land use types including “Pharmacy”. The objective of the paper is to study the parking generation rate for the land use type "Pharmacy" and develop regression models for predicting daily parking generation by pharmacies based on the Johor Bahru environment in Malaysia. Data were collected from the selected thirteen (13) pharmacy locations in Johor Bahru area. The data collection also included a survey of stakeholders including information on a) gross floor space area b) available parking spaces adjacent to the pharmacy c) presence of similar pharmacies in the vicinity (500 m radius). Linear regression models were developed to predict peak hour parking generations by the “Pharmacy” land use type. The developed models are recommended to be used by the professionals for the Malaysian local environment.

2014 ◽  
Vol 71 (3) ◽  
Author(s):  
Ishtiaque Ahmed ◽  
Tanweer Hasan ◽  
Izzul Ramli ◽  
Othman Che Puan

Transportation planners need prior data on "Trip Generation" for new developments and for predicting changes in the trip generation due to modifications in the existing land use types. Trip Generation depends on various factors, especially the socioeconomic characteristics. Currently, transportation planners in Malaysia have to depend on the trip generation data of foreign countries because the data in the Trip Generation Manual of Malaysia provides inadequate information on many land use types including the Educational Institute type- “Kindergarten”. The major objective of the study was to study the "Trip Generation” characteristics for the "Kindergartens” in Johor Bahru, Malaysia. The study included identification of the statistically significant parameters that are related to the trip generation rates. Data were collected from selected nine (09) kindergarten locations in Johor Bahru area. The data collection also included survey of stakeholders including information on the number of students, the number of staff, availability of the day-care facilities, school timings and number of shifts at the facility. The collected data provided information on the "Trip Generation" in local context and environment. Statistical analyses were carried out to establish relationships between the dependent variable and the independent variables. Linear regression models were developed which were found to be capable of predicting trip generations by the “Kindergarten” land use type. The models could be used by the professionals for the Johor Bahru, Malaysia local environment.  


2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.


Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.


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