Predicting and simulating future land use pattern : a case study of Seremban district

As long as rapid urbanization which is a result of natural population growth and rural urban migration due to push and pull factors of social and economic conditions as well as the moving of urban populations from major city centres to urban fringe areas due to changing lifestyle which emphasized on spacious and more comfortable and environmentally friendly living environment continue to happen; towns and cities will continue to grow and expand to accommodate the growing and complex demand of the people. Experiences have shown that rapid and uncontrolled expansion of towns and cities has led to amongst others the deterioration in the quality of urban environment and sprawling of urban development onto prime agricultural and forest areas as well as cities starting to lose their identity. In order to avoid such phenomena continuing to happen, particularly in the Kuala Lumpur Conurbation Area, towns and cities need to be properly planned and managed so that their growth or expansion can be controlled and managed in a sustainable manner. One of the strategies adopted to curb sprawling development is through the delineation of urban growth or development limits (UGL). This means that the limit of towns and cities need to be studied and identified, so that urban development can be directed to areas that are identified and specified suitable for such development. One of the main tasks in the process of delineating UGL has been included as an important task in the preparation of development plans. With such policy a research study is now being carried out to develop a spatial modelling framework towards delineating UGL through the application and integration of spatial technologies and this will be a basis or framework for land use planners, managers and policy makers to formulate urban land use policies and monitor urban land use development. One of the main analysis involve in the process of performing this task is to understand past urban land development trend and to predict and identify future urban growth areas of the selected study area. This paper highlights the integration of statistical modeling technique via binary logistic regression analysis with GIS technology in understanding and predicting urban growth pattern and area as applied to District of Seremban, Negeri Sembilan. The result shows that urban land use pattern in the study area within the study period are significantly related to more than half of the predictors used in the analysis

Kajian Kepuasan Pelanggan di Pusat Khidmat Bersepadu, Jabatan Kecemasan Hospital Kuala Lumpur

The purpose of the study is to evaluate the effectiveness of handling violence programme via service quality model as tool for index customer satisfaction at One Stop Crisis Centre (OSCC), Emergency Department, Hospital Kuala Lumpur. Tangible, reliability, responsiveness, assurance and empathy are variables used for service quality. Customer satisfaction cam be measure subjectively by service quality. Other then service quality, is factor like demography an influent to customer satisfaction. The study was held at OSCC for about a month, where random sampling was used, every cases who come to OSCC is a respondent accept child abuse cases. Questionnaires use Likert Scale was used for 22 items to measure service qpality as suggested by Parasuraman et al. Result from descriptive analysis showed that 65 percentage victims are women at reproductive age. There is also a non-Malaysia, which come to get the treatment. 81.7 percentage victims came less then 72 hours after the incident and 76.7 percentage is domestic violence victims. Average mean for service quality in range between 4.02 till 4.16 and mean customer satisfaction is 3.57. Result from hypothesis testing showed that service quality significantly related to customer satisfaction from range 74.3 percentage till 84.7 percentage. There are no different between quality service and client satisfaction with nationality and time come to get treatment after the incident but only in type of abused from t-test result. ANOVA result showed there are no different between race and qualification with customer satisfaction and service quality except for age

Predicting and simulating future land use pattern : a case study of Seremban district

As long as rapid urbanization which is a result of natural population growth and rural urban migration due to push and pull factors of social and economic conditions as well as the moving of urban populations from major city centres to urban fringe areas due to changing lifestyle which emphasized on spacious and more comfortable and environmentally friendly living environment continue to happen; towns and cities will continue to grow and expand to accommodate the growing and complex demand of the people. Experiences have shown that rapid and uncontrolled expansion of towns and cities has led to amongst others the deterioration in the quality of urban environment and sprawling of urban development onto prime agricultural and forest areas as well as cities starting to lose their identity. In order to avoid such phenomena continuing to happen, particularly in the Kuala Lumpur Conurbation Area, towns and cities need to be properly planned and managed so that their growth or expansion can be controlled and managed in a sustainable manner. One of the strategies adopted to curb sprawling development is through the delineation of urban growth or development limits (UGL). This means that the limit of towns and cities need to be studied and identified, so that urban development can be directed to areas that are identified and specified suitable for such development. One of the main tasks in the process of delineating UGL has been included as an important task in the preparation of development plans. With such policy a research study is now being carried out to develop a spatial modelling framework towards delineating UGL through the application and integration of spatial technologies and this will be a basis or framework for land use planners, managers and policy makers to formulate urban land use policies and monitor urban land use development. One of the main analysis involve in the process of performing this task is to understand past urban land development trend and to predict and identify future urban growth areas of the selected study area. This paper highlights the integration of statistical modeling technique via binary logistic regression analysis with GIS technology in understanding and predicting urban growth pattern and area as applied to District of Seremban, Negeri Sembilan. The result shows that urban land use pattern in the study area within the study period are significantly related to more than half of the predictors used in the analysis