Technology assessment of future intercity passenger transportation systems. Volume 6: Impact assessment

Consequences that might occur if certain technological developments take place in intercity transportation are described. These consequences are broad ranging, and include economic, environmental, social, institutional, energy-related, and transportation service implications. The possible consequences are traced through direct (primary) impacts to indirect (secondary, tertiary, etc.) impacts. Chains of consequences are traced, reaching as far beyond the original transportation cause as is necessary to identify all impacts felt to be influenced significantly by the technological development considered

MARKETING IN AN AUTOMOBILE DEPENDENT SOCIETY: AN ANALYSIS OF CONSUMER-ORIENTED, INDUSTRY-PRODUCED ADVERTISING MATERIAL

Despite the best intentions of public policy to cure societal ills, for the individual American consumer, the solution to the problem of automobile dependence is simple: buy an automobile. Consumers are alleviating societal pressure of not having a car rather than focusing on the negative impacts of vehicle usage after the purchase. Marketing and advertising play an important role in portraying how the public views transportation. Marketing reinforces automobile dependence and automobility by creating images and messages that say the norm of American life requires an automobile; therefore, marketing creates, controls, and reinforces values within the automobile consumer culture. Addressing automobile marketing as a part of transportation discourse is applied and applicable to a broader population, which can potentially shift the approach to automobile dependence and automobility. It offers a new approach that can expand the way planners approach automobile dependency. The objective of this research was to identify a relationship between automobility as a cultural norm and the ideology of marketed images of private vehicles. The two goals this study achieved were: 1) to characterize the message and ideology of vehicle marketing to inform a portion of the American mobility discourse and 2) to evaluate how the differences in the discourse of vehicle types interact with American values. This study examined automobile manufacturers\u27 marketing materials used to advertise vehicles of two distinct fuel-efficiency categories: passenger vehicles and light-duty trucks. A content analysis of marketing materials showed the dominant ideologies in these advertisements, such as land-use settings and values attributed to specific vehicles, while the theoretical lens of critical discourse analysis investigated the underlying power and ideology of the advertising media (Fairclough, 1989, 1995). The study found marketing has created specific links between vehicle types and land use and a connection and conflict with specific vehicles and nature; passenger vehicles were removed from rural landscapes, and messages presented to consumers conflicted with official designations in the federal Corporate Average Fuel Economy (CAFE) system. Planners often view education as the means of convincing the public to support initiatives that reduce negative impacts of human activity; however, automobile marketing inundates the consumer public with messages of the automobile as a preferred travel mode serving as a critical part of American life. As a result, vehicle marketing contributes to the automobile-dependence discourse in a significant way that requires attention

Technology assessment of future intercity passenger transportation systems. Volume 4: Scenarios

Four background scenarios that relate to alternative states of society in the next 25 to 50 years are described. The scenarios were developed for use in analyzing and evaluating alternative future intercity transportation technologies. The scenarios are based, in part, on discussions contained in the issue papers and, in part, on separate analysis of social and economic trends considered relevant for the evolution of intercity transportation

Performance Measures to Assess Resiliency and Efficiency of Transit Systems

Transit agencies are interested in assessing the short-, mid-, and long-term performance of infrastructure with the objective of enhancing resiliency and efficiency. This report addresses three distinct aspects of New Jersey’s Transit System: 1) resiliency of bridge infrastructure, 2) resiliency of public transit systems, and 3) efficiency of transit systems with an emphasis on paratransit service. This project proposed a conceptual framework to assess the performance and resiliency for bridge structures in a transit network before and after disasters utilizing structural health monitoring (SHM), finite element (FE) modeling and remote sensing using Interferometric Synthetic Aperture Radar (InSAR). The public transit systems in NY/NJ were analyzed based on their vulnerability, resiliency, and efficiency in recovery following a major natural disaster

Technology assessment of portable energy RDT and P

Results are presented of a workshop conducted to assess portable energy technology. The results were evaluated and areas for future research were considered. Several research categories were studied: increasing presently available fuel supplies, developing new fuel sources, utilization of new transportation fuels, improving conservation practices, and equitable distribution of fuel supplies. Several research projects were proposed, and work statements were constructed for those considered suitable

Privacy-Preserving Design of Data Processing Systems in the Public Transport Context

The public transport network of a region inhabited by more than 4 million people is run by a complex interplay of public and private actors. Large amounts of data are generated by travellers, buying and using various forms of tickets and passes. Analysing the data is of paramount importance for the governance and sustainability of the system. This manuscript reports the early results of the privacy analysis which is being undertaken as part of the analysis of the clearing process in the Emilia-Romagna region, in Italy, which will compute the compensations for tickets bought from one operator and used with another. In the manuscript it is shown by means of examples that the clearing data may be used to violate various privacy aspects regarding users, as well as (technically equivalent) trade secrets regarding operators. The ensuing discussion has a twofold goal. First, it shows that after researching possible existing solutions, both by reviewing the literature on general privacy-preserving techniques, and by analysing similar scenarios that are being discussed in various cities across the world, the former are found exhibiting structural effectiveness deficiencies, while the latter are found of limited applicability, typically involving less demanding requirements. Second, it traces a research path towards a more effective approach to privacy-preserving data management in the specific context of public transport, both by refinement of current sanitization techniques and by application of the privacy by design approach. Available at: https://aisel.aisnet.org/pajais/vol7/iss4/4

Car Sharing Service Innovation: A New Concept for the Inclusion of Wheelchair Users

Taking the huge role of services in the world economy today, the growing number of people with disabilities in the world, and the lack of transport solutions for their social inclusion, this paper presents the service development process of a conceptual Assistive Technology solution for wheelchair users. The method adopted in this research was a reference model for the systematic New Service Development, composed of macro phases, phases, activities and tasks. This paper presents the main results of the conceptual design phase, where the main innovations occur, what characterizes the value creation of the service, and that is the reason why it was chosen as a scope delimitation of this paper

Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data

To construct, operate, and maintain a transportation system that supports the efficient movement of freight, transportation agencies must understand economic drivers of freight flow. This is a challenge since freight movement data available to transportation agencies is typically void of commodity and industry information, factors that tie freight movements to underlying economic conditions. With recent advances in the resolution and availability of big data from Global Positioning Systems (GPS), it may be possible to fill this critical freight data gap. However, there is a need for methodological approaches to enable usage of this data for freight planning and operations. To address this methodological need, we use advanced machine-learning techniques and spatial analyses to classify trucks by industry based on activity patterns derived from large streams of truck GPS data. The major components are: (1) derivation of truck activity patterns from anonymous GPS traces, (2) development of a classification model to distinguish trucks by industry, and (3) estimation of a spatio-temporal regression model to capture rerouting behavior of trucks. First, we developed a K-means unsupervised clustering algorithm to find unique and representative daily activity patterns from GPS data. For a statewide GPS data sample, we are able to reduce over 300,000 daily patterns to a representative six patterns, thus enabling easier calibration and validation of the travel forecasting models that rely on detailed activity patterns. Next, we developed a Random Forest supervised machine learning model to classify truck daily activity patterns by industry served. The model predicts five distinct industry classes, i.e., farm products, manufacturing, chemicals, mining, and miscellaneous mixed, with 90% accuracy, filling a critical gap in our ability to tie truck movements to industry served. This ultimately allows us to build travel demand forecasting models with behavioral sensitivity. Finally, we developed a spatio-temporal model to capture truck rerouting behaviors due to weather events. The ability to model re-routing behaviors allows transportation agencies to identify operational and planning solutions that mitigate the impacts of weather on truck traffic. For freight industries, the prediction of weather impacts on truck driver’s route choices can inform a more accurate estimation of billable miles