No abstract

The paper investigates the emerging pattern of journey to work traffic that characterises the employment centres of a fast growing African city with reference to the case of Benin region, Nigeria. This is achieved by identifying and extracting the significant employment centres of the region. On the one hand, factor analysis and Getis-Ord statistic were systematically used to identify the spatial configuration of the region’s employment. Regression models on the other hand, were used to estimate the relationship that exists between job decentralisation and travel behaviour. Factor analysis and Getis-Ord statistic identified four significant employment clusters in the region. Multivariate and bivariate regression models were further used to explore the dynamics of commuting behaviour in response to decentralisation of employment centres. It is found that employment spatial structure exerts significant influence on all dimensions of commuting pattern of the region. The result shows that decentralisation of jobs in the metropolis has led to a reduction in commuting times, travel distance and significantly influence the modal choice of commuters.

Smoking is associated with several illnesses in the UK. Smoking rate in Leeds is higher than the national average. Finding optimal locations for stop-smoking services will be a good place to start in reducing smoking rates. The study utilizes a GIS-Based location-allocation method for the optimal distribution of smoking cessation centres in relation to the spatial distribution of the smoking population in Leeds. The demand for the smoking cessation clinics was estimated based on the 2009 General Life Style (GLS) statistics on age and social class stratification of smoking rates for the UK. Leeds specific rates were then obtained from the 2001 census key statistics data on socioeconomic status and age structure for output areas via Census Area Statistics Website (CASWEB). The research findings show that spatial inequalities in smoking rate exist in output areas of Leeds. Poorer and non-skilled populations are demonstrated to have higher smoking rates compared with wealthier neighbourhoods. The study confirms the capability of GIS-Based location-allocation techniques to be useful modelling tools for determining the best locations for health facilities. The model allocates services in relation to the spatial patterns of demand in a fashion that minimises average travel distance.

 Indonesia lied among the three of world major plates so that several districts along the southern coast of Java Island were vulnerabled to the tsunami including Lumajang. South coast of Lumajang had high population density and settlements and high levels of government and economic activity. Therefore, it is necessary to know the level of insecurity and vulnerability to the tsunami in order to be utilized as input of mitigation data for the preparation of regional spatial plans (RTRW) based on tsunami risk level. The objective of this research is to arrange the regional risk map for tsunami in Lumajang Regency using Geographic Information System (GIS) through approach of insecurity and vulnerability analysis of tsunami. The insecurity rate is analyzed based on seismicity map and run-up data of tsunami event in Lumajang District. Vulnerability approach used multicriteria such as land elevation, slope, coastal morphometry, land use, distance from the coast and distance from the river. The methodology that was used included data collections of both primary and secondary data such as satellite imagery of earth map, Lumajang statistical data. Each vulnerability data variable was processed to result a weighting and scores that its become the parameters for making a regional tsunami vulnerability map. The results showed three level of risks in five subdistricts that directly adjacent to the Southern Coast such as Yosowilangun, Kunir, Tempeh, Pasirian, and Tempursari. The high tsunami risk which covered almost along the coast, the ramps morphology, without any protective vegetation and human activities at the site while the medium of tsunami risk which were in areas with elevation more higher than the coastal and the low of tsunami risk had variations of topography, quite far from the coast and less human activities.

This paper presents an application of the analytic hierarchy process (AHP) in building consensus among experts on the choice of urban residential upgrading schemes in Jakarta, Indonesia. Questionnaires were administered to both international and Indonesian experts involved in residential upgrading in our study area. Given the goal of urban residential improvement, they were asked to weigh such alternatives as multi-storey housing (MS), single-detached housing (SD), and Kampung Improvement Program (KIP) based on such criteria as tenure, floor area, accessibility to work place, accessibility to transportation and lifestyle. It was found that accessibility to work place was the most important criterion while multi-storey housing was the single most preferred housing improvement scheme contrary to the popular program (KIP) promoted by international aid agencies.