The purpose of this study is to evaluate the transportation estimation in Metropolitan Muncie for the year 2000 done in 1975. The basis for evaluation is the present situation data. From these findings I expect to learn from what was correct and what was inaccurate in their projections. Finally, this study could present several recommendations for long-range transportation planning study in the future.Barton-Aschman Associates (B-A-A) transportation planning for Metropolitan Muncie for the year 2000 based on the year 1975 is a part of Delaware-Muncie Metropolitan Transportation Estimations. The B-A-A had done many studies for Metropolitan Muncie, including a comprehensive plan, to support transportation projections. Land-use, socio-economic, and vehicle travel were examined in order to produce accurate transportation estimates. Socio-economic variables for Metropolitan Muncie are population, occupied dwelling units, employment, and automobiles.Trip generation, trip distribution, mode choice, trip assignment, and traffic volume are projected in the final estimations. But this project focuses on relationships among variables: land-use, zoning change, population, occupied dwelling units, employment, average daily traffic volume (ADT), assigned over service volume, and level of service (L.O.S.) that were projected by the B-A-A and for the present situation in Metropolitan Muncie.Overall proposed land-uses in the transportation study coincide well with the actual situation 1992. But commercial land-use growth along West Bethel Ave and McGsllinrd Ave in Metropolitan Muncie was not foreseen by the transportation study.Overall estimations of population and occupied dwelling units in Metropolitan Muncie agree well with the present situation. But in tract 9.01, 19.01, and 19.02 in north Metropolitan Muncie the present situation does not follow the transportation estimations closely and major differences appear between socio-economic estimations and the actual situation. Estimations of employment by the B-A-A are not closely with the present situation.Overall transportation estimates of average daily traffic volume and assigned over service volume in Metropolitan Muncie picture the present situation well on several roads but also not so well on the other roads. The B-A-A projections of Level of Service (L.O.S.) are very close with the present situation. / Department of Urban Planning

This creative project was proposed to develop a GIS model for transportation planning purposes with the ARC/INFO software. The urban street network in the GIS model was based on urban arterial systems in the city of Muncie, Indiana. The model was also expected to demonstrate the applicability of GIS technology in transportation planning. Several transportation planning techniques were tested with the model which included road and traffic data inventory, optimum pathing, road capacity analysis, traffic shift study modeling, and graphic presentation. The case study was targeted on road capacity analysis of urban arterial network as well as study of alternative traffic route for the urban route of State Road 32 in Muncie. The project began with an discussion of GIS technology, GIS application in planning, and ARC/INFO software programs. Then an urban street information model was developed in form of digital network in the computer database which could perform the functions of data inventory, spatial traffic analysis, and mapping manipulation. Finally the case studies were performed to demonstrate the application of this GIS network model. The findings and analysis results generated by GIS operation were used to evaluate the traffic conditions as well as to determine the feasibility of alternative route for State Road tables, ARC/INFO macro programs, traffic maps, and print-out of analysis results. / Department of Urban Planning

The purpose of this project was to apply the Quick Response System II (QRS II), developed by Alan J. Horowitz, Center for Urban Transportation Studies, University of Milwaukee-Wisconsin, to the city of Muncie, Indiana.The QRS II model is one example of recent computer models intended for micro-computers, which may be useful for smaller cities with limited planning staff or computer capabilities. The main point is to be able to forecast the impacts of urban developments on highway traffic and the impacts of highway projects on travel pattern.QRS II determines the total number of person-trips generated by each zone of the study area. It accomplishes this step for three trip purposes: home-based work, home-based nonwork, nonhome-based trips. It then distributes these trips from any given origin zone to any given destination, converts highway person-trips to vehicle-trips and assigns them to the links in the highway network based on travel time, and finally split the number of person-trips between transit and automobiles. QRS II also was used to determine the impact of new construction on the surrounding street system.The purpose of the pro t was not to do a complete transportation study. It was rather a test application of QRS II using the 1980 census data of the city of Muncie. We simply tried to get QRS II set up, running, and calibrated according to the findings of the model. The following chapters show the theory behind it, the different outputs, the advantages and limitations. / Department of Urban Planning