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Land use change in some form is cited by both supporters and critics of rapid transit deployment. This paper examines and categorizes land use around twenty stations located in suburban Washington, DC and San Francisco/Oakland through the use of aerial photographs and field investigations. As a case study of local economic development, it documents the land use pattern associated with two modern heavy rail, rapid transit networks BART (Bay Area Rapid Transit) and METRO. Both BART and METRO impact land use around suburban stations. The primary contributors to station area development are residential and commercial developers in addition to the transportation providers themselves. The trend toward more intense development away from the regional Central Business District (CBD) toward suburban station areas indicates a wave of influence moving into the hinterland via transit lines. While trends of land use are apparent, individual station areas seem to be dictated by local conditions such as markets, land use restrictions, accessibility, population, and physical geography. (Author/TRRL)

This paper examines attempts by planners and policy makers to analyze and bring about the coordination of rail and bus transit in the San Francisco Bay Area. Drawing on studies and plans before and after the creation of the rapid rail system BART (Bay Area Rapid Transit), the author points to technical, analytical and political problems in attempts to link BART and buses. Some options and cautions are presented for planners considering route coordination, feeder buses, transfers and institutional arrangements to manage bus and rail services.

This paper investigates the effects of price and service changes on transit ridership. The concept of elasticity is introduced and the traditional methods for estimating elasticities are discussed. In this paper an extra dimension is added by investigating short and long term elasticities. Time series analysis, developed by Box and Jenkins is chosen for the analysis. The Box and Jenkins methodology is applied to a monthly time series of average weekday ridership on the Chicago Transit Authority (CTA) rail system. Four categories of explanatory variables are investigated: fare on the CTA rail system, service provided on the CTA rail system, cost of car trips and weather effects. The effects of gas prices and rail service were found to be significant; however the results indicate a twelve month delay before service changes influence ridership. The effect of transit fares was found to be insignificant, indicating that both the short and long term fare elasticities are zero.

Changes in the economic and demographic characteristics of US cities over the past two decades have modified but have not diminished the need for extensive public transportation service in these areas. The vast bulk of trips to work, to shop, and for most other purposes within large American cities are still made by residents of those cities, a significant portion of whom do not own or have access to an automobile. Expensive and far-ranging programs to enhance surburban commutation to the central city by means of rail rapid transit do little to meet the needs of those who still must rely upon local, extensive service within the city.

This paper presents two time series regression models, one in linear form and the other in logarithmic form, to estimate the monthly ridership of a single urban rail rapid transit line. The model was calibrated for a time period of about six and a half years (from 1978–1984) based on ridership data provided by a transit authority, gasoline prices provided by a state energy department, and other data.

The author describes current rail transit projects in different cities of Europe, Asia and South America.

This paper describes current light rail transit planning and operation in Canada's major cities and smaller communities. There are ten urban areas in Canada with 250,000 or more people. Two of these have light rail systems in operation, three have lines under construction and nine others are planning LRT systems.

A mode choice decision structure incorporating traveler attitudes toward modes and situational constraints is investigated. The major hypothesis tested is that mode choice is determined primarily by situational constraints, such as auto ownership and income, secondly by the quality of alternative modes.

This paper draws from the findings of published empirical studies and observations of the impacts of rapid transit systems on urban development. Analysis is based on comparisons of impact findings by different researchers and for different cities. An initial set of key issues is proposed, against which available information is arrayed and compared. It is concluded that rapid transit can have substantial growth-focusing impacts, but only if other supporting factors are present.

This paper draws together empirical evidence from a variety of sources about the magnitudes of transit price elasticities and cross-elasticities. A number of different practical measures of demand elasticity are first defined and some expectations about magnitude are discussed. Evidence is then collated from the analysis of transit operating statistics, from experience in demonstration projects and from attempts to develop cross-sectional models of demand and modal choice.

This paper traces the development of urban transportation planning in the United States, focusing particularly on the influence that three previous conferences -Sagamore (1958), Hershey (1962), and Williamsburg (1965) - have had on the course of this development. Included also are comments on the current state of the art of urban transportation planning and observations as to its future direction.