Differences of Street Connectivity Between Old And New Zones In Malaysian Small Town

From the period before Malaysia’s independence until now, there are two significant characteristics of the town formed in small town. Pedestrian behavior in the streets is affected by the connectivity existed from the pattern of the street network of a town. Thus, the existing of characteristics of new and old zone require pedestrian to travel differently in those environments. By considering a small town consists of the old and new zone and population between 30,000 to 100,000, street network of Bandar Teluk Intan, Perak was selected. Three sets of data were produced from the land use map and Google Map image, then analyzed it using UCL Depthmap 10. Firstly, solid and void data was used in Visibility graph analysis to measure street connectivity from pedestrian visualization. Second data which convex space data used in Convex space graph analysis to measure street connectivity of spaces in street network that offer pedestrian interaction. Axial-line data is the third data was used in Axial-line graph analysis to measure street connectivity from pedestrian movement in street network. Finding shows that in old zone, junctions act as a connector to other streets when pedestrian visualize during travel, space in square and market chosen as meeting place, and main road as a guide when pedestrian move. In new zone, main road is a connecting feature for pedestrian because it's easy to find, connect with most streets, and the possible space to meet people during travel

Familiarity factors of street features in pedestrian wayfindings

From an origin point to a destination point, good wayfinding process requires familiar recognition on the street environment. However, the unclear reasons of identifying street features to determine a route to the destination influences a pedestrian to select the wrong turn, walk in longer distance, and lost his direction. This paper aims to identify the factors that influence pedestrian familiarity, familiar or unfamiliar, in people wayfinding. Two hundred questionnaires were collected in Teluk Intan, Perak, Malaysia. Quotations from 30 interviews were used to triangulate the findings. Factor analysis available in IBM SPSS version 21 was used in exploring the familiarity factors for wayfinding. The finding suggests three factors influenced pedestrian to familiar with the street environment, which the factors are characteristic, attraction, and interest of street features. While, the duplication design of street features, error in defining the position of street features and form similarity of street features influence pedestrian to become unfamiliar with the street environment. This paper implies that the physical form of street features gives impact to pedestrian familiarity. Consideration of the three factors that influence pedestrian to familiar with the environment can improve how pedestrian experience in street network especially wayfinding

Street network connectivity towards pedestrian wayfinding in Teluk Intan Perak

The connectivity within a street network is a major consideration in the planning and design of a town. The overall effectiveness of a town design by considering the human connection with urban space encourages street environments towards a smart and efficient urban lifestyle. However, the spatial connection of human behaviour in a street network is influenced by the design and planning of street designs, patterns, structures, and character of the town. Malaysian towns have experienced various developments of street network that were planned, not only by colonialist ideologies, but also by various governments that came after Malaysian independence 1957, as well as developers who include architects, landscape architects and urban planners. The mixed designs of a street network cause negative effects towards pedestrian wayfinding, attributable to poor urban design, confusion in streetscape identity, and new developments that lead to the change of familiar environments to become unfamiliar. Therefore, this research aims to develop a spatial evaluation of street network connectivity for effective wayfinding behaviour in a small town in Malaysia. The town of Teluk Intan, Perak was selected as the study site based on the street network structures, patterns, designs, and characters of a Malaysian small town. In developing the evaluation, a survey questionnaire was distributed to pedestrians (n = 200), and then analyzed using SPSS to determine the index of fifteen street features that influence pedestrian wayfinding in this predefined context. With the aid of ArcGIS, the index was applied to produce a spatial map. Following this, axial-line data, convex-space data, as well as solid and void data were elicited from land-use data and Google images. In identifying the impacts of spatial connection, the data were analyzed utilizing the space syntax analysis from Depthmap. Next, the spatial map of street features and the spatial connection map were overlapped and analyzed to determine the spatial connection for wayfinding. The results were validated by triangulation from behaviour mapping and interviews (n=30). It was thus found that the combination of familiar street features strongly improved pedestrians‟ ability to identify their locations, positions, and routes to the destination better than from a feature. Furthermore, spaces with visualization, movement, and interaction assist pedestrians to identify street features, and lead to an effective wayfinding process. These findings provide more fine-grained insights on street network connectivity of small towns in Malaysia, especially those which help to improve wayfinding. As such, the findings suggest that for a small town in Malaysia to be systematic and organized, it is important to conduct a spatial evaluation of street connectivity prior to and during the planning stage

Determination Factors of Roadside Tree Species Selection Model for Sustainable Smart City

This study aimed to determine the factors that are essential in developing Malaysian Roadside tree selection species model for a sustainable smart city. Two objectives have been formulated; (i) to identify the current practices in selecting roadside trees and (ii) to explore the factors affecting in developing roadside tree species model. The methodology used in the study is in-depth interviews and collecting archival data. Thirty of landscape architects and related expertise will be sorted by random sampling at Klang Valley area. The study emphasised the consideration of landscape, arboriculture, forestry and academician practices that consider the long-term benefits and impacts of planting roadside trees. The findings of this study provide valuable insights into the factors that should be considered when selecting tree species for roadside planting in city areas. Fifteen (15) important factors has been identified that is size and growth habit, native and local species, adaptability, maintenance and requirements, wind resistance, non-invasive roots, canopy density, soil requirements, aesthetic value, wildlife support, cultural significance, stakeholder input, longevity, urban tolerance, pest and disease resistance. The results can be used to guide the related parties and promote sustainable development in cities

Identification of Tropical Planting Selection for Sustainable Campus Design

Tropical planting plays a crucial role in sustainable campus design in Malaysia. Incorporating tropical planting into campus design not only enhances the aesthetic appeal but also offers numerous environmental benefits. This research aims to identify suitable tropical plant species for sustainable campus design. The selection of appropriate plant species plays a crucial role in creating environmentally friendly and aesthetically pleasing campus landscapes. The study employs an observational research approach to gather data on plant characteristics, growth patterns, ecological requirements, and overall sustainability. Data was collected at Universiti Malaysia Kelantan Bachok Campus. The results revealed that selection criteria for plants were based on their adaptability to tropical climates, aesthetic appeal, low maintenance requirements, and positive ecological impact. This paper outlines the strength of tropical plantings selection for sustainable campus design based on native trees, shade trees, climbing plants and vines, ground covers, ornamental shrubs, and medicinal and aromatic plants. Some of the tropical plants such as mahogany, kapok tree, frangipani offer numerous benefits in sustainable campus design, contributing to climate resilience, water efficiency, biodiversity conservation, and a vibrant and healthy campus environment. Thus, this research will provide valuable insights for landscape architects, campus planners, and any related built environment professionals in developing sustainable campus designs in tropical regions

Intelligent classification of palm oil tree pollination using E-nose

The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of the polination insect as the insect activity is influenced by the surrounding enviroment.E-Nose can help determine the period by classifiy odour pattern of the male and female palm oil flower. The pattern of each of the flowers were classified using cased – based reasoning artificial intelligent technique. This paper shows the research of the palm oil pollination flower odour profile pattern using case-based reasoning (CBR) classifier

Exploring the impact of environmental factors on soundscape perception for sustainable and resilient urban environments

The impacts of global climate change are becoming increasingly alarming, highlighting the need for sustainable urbanism practices. The soundscape has been identified as crucial for achieving sustainable development goals. Using an ergo-aesthetic framework, this research aims to investigate the impact of weather conditions and sound levels on soundscape perception in urban shopping streets. Data was collected through a soundscape survey (n = 411) in Kuala Lumpur, Malaysia, based on the ISO12913-2 technical specification standards. The result from multivariate analysis of variance revealed that weather and sound level significantly influenced soundscape perception. Based on analysis of variance, a significant difference in perception was found between low and high levels of loudness, with high levels of loudness having a significantly higher perception. It is observed that users tend to have a stronger preference for an "appropriateness" soundscape in urban shopping streets during cloudy weather conditions based on multiple comparison analysis. The participants generally reported feeling acoustically comfortable with lower temperatures in cloudy weather, possibly due to the increased cloud coverage acting as a form of background noise absorber, thereby enhancing the perceived appropriateness of the soundscape. These findings contribute to understanding soundscapes in creating sustainable and resilient urban environments

Patterns of streets connection for sustainable urban development in Kota Bharu, Kelantan, Malaysia

Street network attributes, including street connectivity, street integration, and pedestrian accessibility, are closely interrelated concepts that play an important role in achieving the sustainable approach challenges facing all large cities throughout the world. However, the lack of awareness of sustainable development in both the city center and villages in the suburban area results in a low value of street connectivity, less direct route to the destination, and discouraging pedestrians from moving. This research aims to examine street connectivity and street integration patterns that form from street connections at existing streets in Kota Bharu Kelantan. DepthmapX software was used to analyze street connectivity and integrations to identify and compare the existing street influencing people to move from one destination to another in Kota Bharu, Kelantan. The streets in the Kota Bharu, Kelantan city center area are chosen as the study site to investigate the street connectivity and integration values. Data analysis using DepthmapX software was performed after digitizing the map in AutoCAD software. Findings show that street connectivity and integration are of higher value when the streets are well connected to other streets in the main area and attraction area. The conclusions of this paper can help landscape architects and urban planners optimize the achievement of well-connected street networks that produce directness routes in short-distance destinations to develop a sustainable urban environment

Sensory Integration - Incorporate nature into child’s sensory integration therapy for sensory processing input: A case study in SRK Bukit Payung, Terengganu

This study investigates the number of special needs students and how a sensory garden can Incorporate nature into a child’s sensory integration therapy for sensory processing input. The case study was conducted at Sekolah Rendah Kebangsaan Bukit Payong which offers specialized classes for students with special needs. The objectives of this study are to identify types of special needs students in this school and to provide or design an environment that incorporates natural elements as a therapeutic approach by engaging students in physical activities that facilitate the management of sensory input. Method used in this study are content analysis to understand sensory integration and sensory garden, semi structured interview identified the numbers of special needs students in this school. The outcomes of this study entail the identification of distinct types of special needs students present at Sekolah Rendah Kebangsaan Bukit Payong This information serves as a foundation for developing learning spaces that are tailored to the specific needs of these students, thereby improving their focus and concentration in the classroom by providing a sensory garden. Additionally, the study introduces a sensory integration design that incorporates activities aimed at assisting children in mastering the more challenging learning tasks. Such activities contribute to the development of cognitive abilities, language skills, gross motor skills, and social interaction that is facilitated through the transfer of expert knowledge

Familiarity factors of street features in pedestrian wayfindings

From an origin point to a destination point, good wayfinding process requires familiar recognition on the street environment. However, the unclear reasons of identifying street features to determine a route to the destination influences a pedestrian to select the wrong turn, walk in longer distance, and lost his direction. This paper aims to identify the factors that influence pedestrian familiarity, familiar or unfamiliar, in people wayfinding. Two hundred questionnaires were collected in Teluk Intan, Perak, Malaysia. Quotations from 30 interviews were used to triangulate the findings. Factor analysis available in IBM SPSS version 21 was used in exploring the familiarity factors for wayfinding. The finding suggests three factors influenced pedestrian to familiar with the street environment, which the factors are characteristic, attraction, and interest of street features. While, the duplication design of street features, error in defining the position of street features and form similarity of street features influence pedestrian to become unfamiliar with the street environment. This paper implies that the physical form of street features gives impact to pedestrian familiarity. Consideration of the three factors that influence pedestrian to familiar with the environment can improve how pedestrian experience in street network especially wayfinding