conference paper
Area of Expertise: Unspecified
working paper
A Property Rights Framework for Transit Services
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Author(s)
Working Paper
Abstract
The paper shows how variations in systems of property rights explain diverse experiences of urban jitneys and buses. Scheduled bus service entails route specific investments and cultivation of a market. If these investments can be expropriated by interloping jitneys, scheduled service will be dissolved. Property rights in curbspace determine whether scheduled service will be preserved, and whether jitney services will co-exist. We analyze the dynamics of thick and thin transit markets, with and without curb rights. We develop a governance system of curb rights that would let bus operators appropriate their own investments in scheduled service, yet would avoid monopoly by letting jitneys and competing scheduled services operate along the same route. A property rights system dispenses with government ownership, franchise contracting, and regulation.
Suggested Citation
Daniel B. Klein and Adrian T. Moore (1995) A Property Rights Framework for Transit Services. Working Paper UCI-ITS-WP-95-22, UCTC 303. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/36f657t2.conference paper
Performance of artificial neural networks for incident detection in ITS
TRANSPORTATION CONGRESS: CIVIL ENGINEERS - KEY TO THE WORLD'S INFRASTRUCTURE, PROCEEDINGS OF THE 1995 CONFERENCE, VOLS 1 AND 2
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Author(s)
Suggested Citation
B Abdulhai and SG Ritchie (1995) “Performance of artificial neural networks for incident detection in ITS”, in . Lall, BK and Jones, DL (ed.) TRANSPORTATION CONGRESS: CIVIL ENGINEERS - KEY TO THE WORLD'S INFRASTRUCTURE, PROCEEDINGS OF THE 1995 CONFERENCE, VOLS 1 AND 2. AMER SOC CIVIL ENGINEERS, pp. 227–238.research report
Analysis of Activity-travel Patterns and Tour Formation of Transit Users [Research Brief]
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Author(s)
Abstract
The complexity of travel behavior has evolved as travelers respond to varying activity demands and the changing supply environment, measured by congestion, cost, and emerging technologies. Complexity in travel behavior is often manifested by an increasing tendency to chain several activities within a tour to minimize total travel time and the number of trips, leading travelers to seek more flexible travel modes to complete their complex travel demands.
Suggested Citation
Michael G McNally and Rezwana Rafiq (2021) Analysis of Activity-travel Patterns and Tour Formation of Transit Users [Research Brief]. researchBrief. Available at: https://rosap.ntl.bts.gov/view/dot/67954 (Accessed: October 11, 2023).published journal article
Bargaining Unit Structure and Organizational Outcomes
Industrial Relations: A Journal of Economy and Society
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Author(s)
Suggested Citation
James L. Perry and Harold L. Angle (1981) “Bargaining Unit Structure and Organizational Outcomes”, Industrial Relations: A Journal of Economy and Society, 20(1), pp. 47–59. Available at: 10.1111/j.1468-232X.1981.tb00181.x.published journal article
Navigation with cellular CDMA Signals—Part II: Performance analysis and experimental results
IEEE Transactions on Signal Processing
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Author(s)
Suggested Citation
Joe Khalife and Zaher M. Kassas (2018) “Navigation with cellular CDMA Signals—Part II: Performance analysis and experimental results”, IEEE Transactions on Signal Processing, 66(8), pp. 2204–2218. Available at: 10.1109/tsp.2018.2799166.published journal article
PROCEDURE FOR ESTIMATING NATIONAL MARKET AND TOTAL SOCIOECONOMIC IMPACTS OF NEW SYSTEMS OF URBAN TRANSPORTATION
Transportation Research Record
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Author(s)
Abstract
This paper presents a general procedure for determining the potential national market and total socioeconomic and environmental impacts for an urban transportation system concept that can be considered for implementation in a large number of urban areas. The procedure involves the following closely interrelated steps: (a) statistical classification of all metropolitan areas into relatively homogeneous groups on the basis of their transportation requirements; (b) selection of the most representative area in each group; (c) performance of analytical case studies in each representative area in order to synthesize the optimal system design for that area and evaluate the impacts on user and nonuser population stratifications; (d) statistical analyses of the differences among areas within the same group; (e) performance of sensitivity analyses of each case study guided by these difference analyses; (f) extensions of the results of the case studies to the other areas in each group through the use of the sensitivity and difference analyses; and (g) aggregation of the market estimates for all metropolitan areas and of the total impacts for the country as a whole by user and nonuser population stratifications. Specific methods are given for many of the steps in the procedure, and guidelines are presented for some of the more traditional planning tasks such as case study analyses
Suggested Citation
Eugene T. Canty and Thomas F. Golob (1972) “PROCEDURE FOR ESTIMATING NATIONAL MARKET AND TOTAL SOCIOECONOMIC IMPACTS OF NEW SYSTEMS OF URBAN TRANSPORTATION”, Transportation Research Record [Preprint], (399).published journal article
Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem
Transportation Research Part B: Methodological
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Author(s)
Suggested Citation
Joseph Y.J. Chow and Will W. Recker (2012) “Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem”, Transportation Research Part B: Methodological, 46(3), pp. 463–479. Available at: 10.1016/j.trb.2011.11.005.conference paper
A geospatial data fusion framework to quantify variations in electric vehicle charging demand
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities
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Abstract
Electric vehicles (EV) are an emerging mode of transportation, and big cities in the United States have witnessed an ever-growing demand for EV usage. The primary benefit of EVs is the high fuel efficiency by using only electricity, and hence lowers the dependency on fossil fuels and significantly reduces greenhouse gas emissions. Although the number of EVs has increased, the availability of EV charging stations for public use has been disproportionate to its demand. More recently, populations residing in the Southern California region have been faced with challenges such as range anxiety owing to the uneven spatial distribution of charging stations throughout the region. As the EV population continues to expand, identifying hotspots of EV charging and barriers to the equitable access of charging stations have gained much importance. Our study uses a geospatial data fusion approach with spatial statistics to combine EV charging station data, land use information, and American Community Survey (ACS) data at the census block group level in Orange County, California to discover optimal locations to broaden the EV charging network and identify potential equity issues surrounding charging station placements.
Suggested Citation
Mankin Law and Avipsa Roy (2021) “A geospatial data fusion framework to quantify variations in electric vehicle charging demand”, in Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities. New York, NY, USA: Association for Computing Machinery (ARIC '21), pp. 23–26. Available at: 10.1145/3486626.3493429.conference paper