An integrated urban systems model with GIS

The purpose of the research is to develop an integrated urban systems model, which will assist in formulating a better land use-transportation policy by simulating the relationships between land use patterns and travel behavior, integrated with geographic information systems (GISs). In order to make an integrated land use-transportation model possible with the assistance of GISs technologies, the following four sub-systems have been developed: (1) an effective traffic analysis zone generation system; (2) an iterative land use and transportation modeling system; (3) efficient interfaces between GIS and land use, and GIS and transportation models; and (4) a user-friendly graphic user interface (GUI) system. By integrating these sub-systems, a variety of alternative land use-transportation policies can be evaluated through the modification of input parameters in each simulation. Eventually, the developed model using a GIS will assist in formulating an effective land use policy by obtaining robust simulation results for both land use-transportation planners and decision makers. The model has been applied to the Urbana-Champaign area as well as to the Seoul region in Korea for a demonstration of the workings of the model.

GIS and Network Analysis

Both geographic information systems (GIS) and network analysis are burgeoning fields, characterised by rapid methodological and scientific advances in recent years. A geographic information system (GIS) is a digital computer application designed for the capture, storage, manipulation, analysis and display of geographic information. Geographic location is the element that distinguishes geographic information from all other types of information. Without location, data are termed to be non-spatial and would have little value within a GIS. Location is, thus, the basis for many benefits of GIS: the ability to map, the ability to measure distances and the ability to tie different kinds of information together because they refer to the same place (Longley et al., 2001). GIS-T, the application of geographic information science and systems to transportation problems, represents one of the most important application areas of GIS-technology today. While traditional GIS formulation's strengths are in mapping display and geodata processing, GIS-T requires new data structures to represent the complexities of transportation networks and to perform different network algorithms in order to fulfil its potential in the field of logistics and distribution logistics. This paper addresses these issues as follows. The section that follows discusses data models and design issues which are specifically oriented to GIS-T, and identifies several improvements of the traditional network data model that are needed to support advanced network analysis in a ground transportation context. These improvements include turn-tables, dynamic segmentation, linear referencing, traffic lines and non-planar networks. Most commercial GIS software vendors have extended their basic GIS data model during the past two decades to incorporate these innovations (Goodchild, 1998). The third section shifts attention to network routing problems that have become prominent in GIS-T: the travelling salesman problem, the vehicle routing problem and the shortest path problem with time windows, a problem that occurs as a subproblem in many time constrained routing and scheduling issues of practical importance. Such problems are conceptually simple, but mathematically complex and challenging. The focus is on theory and algorithms for solving these problems. The paper concludes with some final remarks.

An assessment method for GIS-T software

The objective of the research work summarized in this paper was to develop a method to assess, concerning its functional and performance characteristics, GIS software applied to transportation planning (the so-called GIS-T packages). Three computer packages were compared with the developed procedure, which focuses on several characteristics: descriptive aspects (e.g., learning time and customization possibilities, among others), basic GIS operational characteristics, advanced GIS features, and transportation planning routines. In order to conduct a more effective analysis of their potential as a transportation planning tool they were all applied for finding a solution of a problem involving the calculation of a simple, straightforward accessibility measure. The results found suggest that all three systems comply with the minimum configuration desired for GIS software. However, only two of them fit in the GIS-T category, since the third one did not supply the main necessary tools to solve the specific transportation problem proposed

Equity in Learning Opportunities for Middle School Students: Connecting Communities and Transportation Through GIS

Geographic information systems (GIS) is part of an in-demand career skillset that can lead to safer streets in California communities. This project included a three-session bootcamp that introduced middle school students to transportation via GIS and gathered assessments on their awareness of transportation as a career pathway. The project built upon CSUTC TRANSPORTS’ Year 4 project, “K–12 Special Investigation Project: Mapping E-Commerce Locally and Beyond.” The bootcamp for this project was coordinated in partnership with Rio Hondo College, which provided the instructor and connection to the students at the Mountain View Unified School District in El Monte, CA. The bootcamp focused on developing safer communities and transportation systems as a context for the students to become familiar with GIS. The student feedback reported on student awareness of transportation and GIS prior to the bootcamp and how the curricular tools and activities impacted that awareness. Gathered data and feedback will inform the development of future middle school GIS curricula, an area that is underdeveloped

A proposed risk model and a GIS framework for hazardous materials transportation

This paper presents a Geographical Information System (GIS) based risk assessment model for road transportation of hazardous materials (hazmat). Existing and proposed risk models are applied to truck shipments of hazmat through the road network of Istanbul. Our empirical analysis on the Istanbul road network points out that different risk models usually select different routes between a given origin-destination pair. In this study, we propose a new risk assessment model named as ldquotime-based risk modelrdquo for hazmat transportation. We speculate that the proposed model is the most suitable one for the city of Istanbul and alike

Economics of Sourcing Cellulosic Feedstock for Energy Production

This study investigates the economics of supplying wheat straw and corn stover within 100 mile radius of a potential new biorefinery in southeast North Dakota. In particular, straw and stover total delivery costs, potential straw and stover supply sites and least cost transportation routes are identified using a linear programming transport model and a GIS (Geographic Information Systems) mapping system. We show that USDA/NRCS (Natural Resources Conservation Service) future crop residue removal rate policies will be important for determining whether it is economically viable to harvest crop residues as potential feedstock for energy generation. Increase in residue removal rates narrow the size of residue supply areas and consequently result in lowering total transportation costs. There is an economic tradeoff between residue collection density and distance from the biorefinery. Most wheat residues are highly concentrated in the north, some distance from the biorefinery. Relying solely on wheat straw for supply needs require longer transportation distances which increases total cost. Using a combination of wheat and corn residues lowers total transportation costs. Since most wheat/corn residues are densely concentrated in north/south, regional highways would likely be the routes used often to transport the residues, as compared to interstate highways. Increased traffic volumes due to the hauling of crop residues would require additional investment in improving road conditions.Wheat Straw, Corn Stover, Density, Transportation Cost, GIS, Community/Rural/Urban Development, Crop Production/Industries,

Impact assessment using geographic information system (Gis): Transportation engineering applications

This study addresses the use of geographic information systems (GIS) in several transportation engineering applications. Geographic information systems are shown to exhibit significant potential in impact assessment and complex spatial data management. Advances in computing technology have lead to wide spread use of GIS in many areas, particularly in transportation, environmental and landuse impact assessment studies; Yucca Mountain, 100 miles northwest of Las Vegas Nevada has been chosen as the site of a proposed repository for high level nuclear waste. This proposed siting has motivated the study of potential transportation related impacts. GIS may be used to facilitate assessment of potentially affected populations, environmentally sensitive areas, property values, land uses, and other impact measures along potential waste transportation routes leading to Yucca Mountain; In this study, GIS is also used to investigate non-radiological transportation impacts due to the construction and operation of the proposed repository. One important and timely analysis is performed for the relation between air quality and transportation related sources of pollutants in the Las Vegas area. Vehicle miles traveled (VMT), number of refueling stations, air quality measures, and meteorological conditions are some of the measures used to determine these relationships. (Abstract shortened by UMI.)

Towards Developing a Travel Time Forecasting Model for Location-Based Services: a Review

Travel time forecasting models have been studied intensively as a subject of Intelligent Transportation Systems (ITS), particularly in the topics of advanced traffic management systems (ATMS), advanced traveler information systems (ATIS), and commercial vehicle operations (CVO). While the concept of travel time forecasting is relatively simple, it involves a notably complicated task of implementing even a simple model. Thus, existing forecasting models are diverse in their original formulations, including mathematical optimizations, computer simulations, statistics, and artificial intelligence. A comprehensive literature review, therefore, would assist in formulating a more reliable travel time forecasting model. On the other hand, geographic information systems (GIS) technologies primarily provide the capability of spatial and network database management, as well as technology management. Thus, GIS could support travel time forecasting in various ways by providing useful functions to both the managers in transportation management and information centers (TMICs) and the external users. Thus, in developing a travel time forecasting model, GIS could play important roles in the management of real-time and historical traffic data, the integration of multiple subsystems, and the assistance of information management. The purpose of this paper is to review various models and technologies that have been used for developing a travel time forecasting model with geographic information systems (GIS) technologies. Reviewed forecasting models in this paper include historical profile approaches, time series models, nonparametric regression models, traffic simulations, dynamic traffic assignment models, and neural networks. The potential roles and functions of GIS in travel time forecasting are also discussed.

A discussion on different techniques for GIS data collecting, precision, accuracy and quality of database

Nowadays, is a common sense the importance of geotechnologies in urban planning, transportation engineering and other different areas of knowledge. The Geographic Information System (GIS) is one of the geotechnologies that has been used increasingly. The collection of information and creation of a database are the most expensive, complex and important task in a GIS project. The collection of information results from the direct and indirect measurement of the real world. The reason for creating databases is to register and the maintain the different sources of collecting information. This paper has the objective to present the different techniques for data collection as input in GIS, as well as a brief discussion on the cost associated with the collection of data. Furthermore, comments on precision, accuracy and the quality of database are given.

Solid Waste Collection Vehicle Route Optimization for the City of Redlands, California

The City of Redlands, California was interested in using a geographic information system (GIS) to help determine cost savings for the collection and transportation of its solid waste. Studies have shown that 60% - 80% of a municipality’s waste budget goes towards the collection and transportation phase. The city maintains a GIS department and they would like to incorporate data, procedures and a workflow to help facilitate using GIS to optimize solid waste collection. GIS technology can be used to help determine optimal collection routes by matching real world travel conditions and patterns. This study used a GIS to model current and proposed collection patterns using Esri’s ArcGIS Network Analyst software. The software was used to determine optimal routes for small collection groups and outlines the workflow and best practices for future analysis throughout the city