working paper

A Knowledge-Based Approach to Improve Urban Transportation Decision Making

Abstract

This paper describes a microcomputer-based tool that has been developed to facilitate acquisition and improvement of skills in urban transportation decision making. This tool interfaces with a complex gaming-simulation model and involves a knowledge-based expert system, built using programming techniques from the field of artificial intelligence. The gaming-simulation model synthesizes the consequences of the decision-making activities of a Transportation Director (model user) in a city with urgent transportation needs. The role of the expert system is to advise users on how to achieve multiple street and transit system goals over a ten-year period, during which time several hundred decisions must be made. Each year, the expert system suggests actions to the user that can be used as possible inputs to the following year’s budgetary and decision-making process. Results of limited tests to date indicate that this expert system permits achievement of performance levels that very few unassisted users can attain.

Suggested Citation
Stephen G. Ritchie and C. Yeh (1987) A Knowledge-Based Approach to Improve Urban Transportation Decision Making. Working Paper UCI-ITS-WP-87-9. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/4dg131zw.

published journal article

Gap-based transit assignment algorithm with vehicle capacity constraints: Simulation-based implementation and large-scale application

Transportation Research Part B: Methodological

Publication Date

November 1, 2016

Author(s)

öMer Verbas, Hani Mahmassani, Michael Hyland
Suggested Citation
Omer Verbas, Hani S. Mahmassani and Michael F. Hyland (2016) “Gap-based transit assignment algorithm with vehicle capacity constraints: Simulation-based implementation and large-scale application”, Transportation Research Part B: Methodological, 93, pp. 1–16. Available at: 10.1016/j.trb.2016.07.002.

published journal article

Bunching in real-estate markets: Regulated building heights in New York City

Journal of Urban Economics

Publication Date

September 1, 2024

Author(s)

Jan Brueckner, David Leather, Miguel Zerecero

Abstract

This paper presents a real-estate application of the bunching methodology widely used in other areas of applied microeconomics. The focus is on regulated building heights in New York City, where developers can exceed a parcel’s regulated height by incurring additional costs. Using the bunching methodology, we estimate the magnitude of these extra costs, with the results showing a modest increase in the marginal cost of floor space beyond the regulated building height. We use these estimates to predict the additional floor space that would be created by complete removal of building-height regulation in NYC. While this last exercise is circumscribed by our focus on a limited number of zoning categories, the results suggest that New York could secure notably more housing through lighter height regulation.

Suggested Citation
Jan K. Brueckner, David Leather and Miguel Zerecero (2024) “Bunching in real-estate markets: Regulated building heights in New York City”, Journal of Urban Economics, 143, p. 103683. Available at: 10.1016/j.jue.2024.103683.

conference paper

Factors affecting speed of motor vehicles on urban arterials: Case of chennai, India

Proceedings of the 85th annual meeting of the transportation research board

Publication Date

January 1, 2006

Abstract

It is important to understand the factors affecting speed in a link to design a better roadway. The aim of this study was to identify the extend speed is influenced by geometric design elements, traffic characteristics and roadway characteristics, particularly in urban arterial streets. This study is distinct from previous research that it analysis how speed is affected in heterogeneous traffic conditions. In this study second-by-second speed data is collected using Global Positioning System (GPS). Initial analysis showed that more than 50% of time in a trip spent at the speed below 25 km/h. Time spent in both acceleration and deceleration mode was about 65%, which explains the frequent variation of speed in a trip. A multiple linear regression model was constructed to understand the causes of variation in speed. The effect of traffic characteristics and roadside characteristics has significant influence over speed when compared to geometric characteristics. Among traffic characteristics, total volume and time spent in creep mode have significant influence over speed. In roadside characteristics, both commercial and pedestrian activities were negatively correlated. Followed by lane width, pedestrian interference, stop duration and commercial landuse are significant variables. These variables explained about 48% of variations in speed. Variables such as grade level, share of slow moving vehicles, time of the day and on-street parking didnâ??t show up in the model. However, they have shown the sign of influence on speed.

Suggested Citation
Michael G. McNally, R. Jayakrishnan, Nesamani Subramanian Kalandiyur and K.P. Subramanian (2006) “Factors affecting speed of motor vehicles on urban arterials: Case of chennai, India”, in Proceedings of the 85th annual meeting of the transportation research board, p. 23p. Available at: https://trid.trb.org/view/777779.

published journal article

On the structure of weekly activity/travel patterns

Transportation Research Part A: Policy and Practice

Publication Date

December 1, 2003

Abstract

Understanding the process of activity scheduling is a critical pre-requisite to an understanding of changes in travel behavior. To examine this process, a computerized survey instrument was developed to collect household activity scheduling data. The instrument is unique in that it records the evolution of activity schedules from intentions to final outcomes for a weekly period. This paper summarizes an investigation of the structure of activity/travel patterns based on data collected from a pilot study of the instrument. The term “structure” refers to the sequence by which various activities enter one’s daily activity scheduling process. Results of the empirical analyses show that activities of shorter duration were more likely to be opportunistically inserted in a schedule already anchored by their longer duration counterparts. Additionally, analysis of travel patterns reveals that many trip-chains were formed opportunistically. Travel time required to reach an activity was positively related to the scheduling horizon for the activity, with more distant stops being planned earlier than closer locations. (C) 2003 Elsevier Ltd. All rights reserved.

Suggested Citation
Ming S. Lee and Michael G. McNally (2003) “On the structure of weekly activity/travel patterns”, Transportation Research Part A: Policy and Practice, 37(10), pp. 823–839. Available at: 10.1016/s0965-8564(03)00047-8.

other

LTE steers UAV: No GPS? No problem! Signals of opportunity work in challenged environments

GPS World

Publication Date

January 1, 2017

Author(s)

Zaher Kassas, J.J. Morales, K. Shamaei, Joe Khalife
Suggested Citation
Z.M. Kassas, J.J. Morales, K. Shamaei and J. Khalife (2017) “LTE steers UAV: No GPS? No problem! Signals of opportunity work in challenged environments”, GPS World, pp. 18–25. Available at: https://www.gpsworld.com/lte-cellular-steers-uav-signals-of-opportunity-work-in-challenged-environments/.

working paper

Safety Impacts Associated with Installation of HOV (High Occupancy Vehicle) Lanes

Publication Date

September 5, 1988

Abstract

The objective of this study was to evaluate the traffic safety of freeway High Occupancy Vehicle (HOV) lanes that are not separated by physical barriers from adjacent, general-purpose traffic lanes. The purpose of the HOV lanes is to offer an incentive to motorists to form carpools, thereby providing some relief to congestion attributable to the relatively high number of single-occupancy vehicles utilizing urban freeways. The research was aimed at determining the causes of any changes in safety conditions due to the operation of such lanes, and identifying possible actions to mitigate any adverse safety impacts.The study focused on two HOV lane operations in the greater Los Angeles area: One is located on State Route 91 (SR-91, the Riverside Freeway) in Los Angeles County; the other is on State Route 55 (SR-55, the Costa Mesa/Newport Freeway) in Orange County. Both of these facilities have been implemented through partial removal of the left median shoulder and restriping of the lanes.

Suggested Citation
Thomas F. Golob and Will Recker (1988) Safety Impacts Associated with Installation of HOV (High Occupancy Vehicle) Lanes. Working Paper UCI-ITS-WP-88-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/49n0n0jc.

working paper

Incorporating Yellow-Page Databases in GIS-Based Transportation Models

Publication Date

August 1, 1988

Associated Project

Abstract

A systematic approach is developed to transform data in the existing yellow page databases to a point-based GIS database on activity supply. Such a database is needed for an activity-based travel forecasting system and for disaggregate accessibility analysis. First, the linkage between activity types and business types is established. According to this lookup relationship, businesses and services associated with certain activity types can be selected. These records are then geocoded by address-matching in a GIS and the locations supplying those activities are pinned down. Technical issues, such as difficulty in linking businesses to activities, long term projection, and address-matching, are discussed and potential solutions are provided. Finally, issues that need to be addressed when attempting to develop an activity-based forecasting system are examined from the perspective of activity supply. 

Suggested Citation
Ming S. Lee and Michael G. McNally (1988) Incorporating Yellow-Page Databases in GIS-Based Transportation Models. Working Paper UCI-ITS-WP-98-12, UCI-ITS-AS-WP-98-3. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/0t22m2zn.