Computers & Urban Society最新文献

The planning of Urban Health Facilities is examined with respect to predicting the number of obstetrical delivery rooms needed as a function of varying levels of demand for service. A simulation model using the GPSS language is developed which permits construction of a more representative model and eliminating certain restrictive assumptions found in other analytical models. Recommendations regarding the number of delivery rooms are given. Facility utilization statistics for various demand levels and system configurations are developed uniquely in the computer simulation.

Service networks of various types have as a common denominator a data structure which describes their geometry and topology. To this data structure can be attached information pertaining to non-spatial attributes of the network. If the data is computerised it becomes attractive to conceive a system which interactively monitors changes in the network. This paper describes the structure of a service network information processing (SNIP) system emphasising the hardware configuration necessary, the software support and the organisation of the data files.

This paper presents a computer model for simulating urban growth, given a set of economic and transportation parameters. The model is designed for both forecasting and pedagogic purposes. It allows the planner or the student to produce a spatial forecast of land uses in a given geographic region, on the basis of exogenously determined growth parameters, employment patterns and transportation alternatives. The program calculates future levels of activity and land areas required for each activity. It also allocates land uses in space. These land-use allocations are then printed out for each future year, and are determined on the basis of minimizing the time spent in transportation between each new activity and all existing activities in the region.

We are constructing MEGHARP, a relatively simple and politically relevant midscale model of a regional housing system. In this paper, we have documented a key portion of the model building process: the factors considered in designing our simulation of (1) a household's decision to move, and (2) a household's search for an selection of a housing unit.

This paper describes the philosophy, algorithms, and implementation of a computer simulation model for land use forecasting, and the capability of generating maps of these forecasts. The model is applicable to SMSA's organized on a census tract basis by counties. The forecasts are macro to the census tract level for industrial, residential, commercial and public land uses. Modeling is based on an economic data base of the region, and is extremely flexible for the user. An example set of forecasts and maps is included for illustrative purposes.

Since mid-1972, members of the World Institute's Housing Systems Project have been working on a comprehensive analysis of Israeli housing and of some selected problems relating to it. As part of the project, a simulation model is under development. The target is to produce an operational man/machine interaction system focusing on both short and longer range policy issues relating to Israeli housing. As of this writing (August 1973), we have produced a manual version (i.e. non-computerized) of the housing system of Israel to serve as a “first-generation representation”; and have developed a fully-computerized representation aimed at replicating actual housing system dynamics in Israel between 1961 and 1972 (the two latest census years, for which comprehensive data exists). Work is now underway on several adaptations of the simulation, with special interest focusing on human-machine interplay through the use of remote consoles linked to the master computer routines.