conference paper

Dynamic Tests of a Time-Space Model of Complex Travel Behavior

Travel Behavior Research, International Association of Travel Behavior

Publication Date

September 1, 1987

Author(s)

Will Recker, Thomas Golob, Michael McNally, John Leonard

Abstract

In the research presented here, an attempt is made to analyze the entire daily activity pattern simultaneously in terms of its space, time, and activity category dimensions. The focus of the research is on developing procedures for the dynamic analysis of possible changes in activity patterns that may result from or lead to changes in the characteristics of the household. The intent is to trace the daily activity patterns of groups of travelers that have undergone significant change during multiple points in time, in a manner that will shed some light on both the nature and extent of associated changes in travel behavior. To check on the reliability of the modeling process and to understand its peculiarities, complementary analyses of pattern attributes, and time-series analyses of patterns were performed on the same data set. Results from these complementary analyses are briefly outlined here, and it is hoped that these results aid in placing the present approach in the perspective of the rich legacy of previous work.

Suggested Citation

Will Recker, Thomas F. Golob, Michael G. McNally and John D. Leonard (1987) “Dynamic Tests of a Time-Space Model of Complex Travel Behavior”, pp. 27–40.

published journal article

Observability analysis of collaborative opportunistic navigation with pseudorange measurements

IEEE Trans. Intell. Transport. Syst.

Publication Date

February 1, 2014

Author(s)

Zaher Kassas, Todd E. Humphreys

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Suggested Citation

Zaher M. Kassas and Todd E. Humphreys (2014) “Observability analysis of collaborative opportunistic navigation with pseudorange measurements”, IEEE Trans. Intell. Transport. Syst., 15(1), pp. 260–273. Available at: 10.1109/tits.2013.2278293.

published journal article

The Tensions of Transparency in Urban and Environmental Planning

Journal of Planning Education and Research

Publication Date

September 1, 2022

Author(s)

Nicholas Marantz, Nicola Ulibarri

View published journal article

Abstract

Government transparency is generally uncontroversial, intuitively appealing, and held to be a cornerstone of planning practice. This article systematically reviews planning scholars’ treatment of government transparency in the twenty-first century. We find that transparency frequently underpins key theoretical constructs and policy prescriptions, but scholars rarely define or operationalize the term and generally treat it as unproblematic. We then identify how transparency requirements can conflict with the goals of accountability, participation, and inclusion, and we conclude by discussing the implications for assessing the role of transparency in social change.

Suggested Citation

Nicholas J. Marantz and Nicola Ulibarri (2022) “The Tensions of Transparency in Urban and Environmental Planning”, Journal of Planning Education and Research, 42(3), pp. 401–412. Available at: 10.1177/0739456X19827638.

conference paper

An analysis of health impacts from PM and NOx emissions resulting from train operations in the alameda corridor, California

Proceedings of the 89th annual meeting of the transportation research board

Publication Date

January 1, 2010

Author(s)

Mana Sangkapichai, Jean-Daniel Saphores, Oladele Ogunseitan, Stephen Ritchie, Gunwoo Lee

Abstract

The goal of this paper is to estimate the health impacts resulting from exposure to PM and NOx emitted by train operations in the Alameda corridor, a crucial rail link that serves the Ports of Los Angeles and Long Beach, also known as the San Pedro Bay Ports (SPBP). The authors link a pollutant dispersion model (CalPUFF) to a health benefits assessment model (BenMAP) to discover population-based health impacts of PM and NOx emissions from train operations (switching and line haul). After analyzing year 2005 as our baseline, we consider two scenarios that correspond to switching to Tier 2 and Tier 3 locomotives. The authors find that mortality from PM exposure accounts for the largest health impacts, with health costs in excess of $40 million annually. A shift to Tier 2 locomotives would save approximately half of the annual health costs but the benefits of shifting from Tier 2 to Tier 3 locomotives would be much smaller. This assessment is only partial, however, because of gaps in available health data. To our knowledge, this is the first application of BenMAP to conduct a health assessment at the county level.

Suggested Citation

Mana Sangkapichai, Jean-Daniel Saphores, Oladele Ogunseitan, Stephen G. Ritchie and Gunwoo Lee (2010) “An analysis of health impacts from PM and NOx emissions resulting from train operations in the alameda corridor, California”, in Proceedings of the 89th annual meeting of the transportation research board, p. 19p.

published journal article

Surrogate-based optimization for the design of area charging schemes under environmental constraints

Transportation Research Part D: Transport and Environment

Publication Date

July 1, 2019

Author(s)

Daniel Rodriguez-Roman, Stephen Ritchie

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Suggested Citation

Daniel Rodriguez-Roman and Stephen G. Ritchie (2019) “Surrogate-based optimization for the design of area charging schemes under environmental constraints”, Transportation Research Part D: Transport and Environment, 72, pp. 162–186. Available at: 10.1016/j.trd.2019.04.015.

conference paper

Time on market and the impact of a mass rapid transit system on residential property values-The case of Kaohsiung, Taiwan

Proceedings of the 87th annual conference of the WEAI, San Francisco, CA

Publication Date

January 1, 2012

Author(s)

Jean-Daniel Saphores, Chung Yeh

Suggested Citation

Jean-Daniel Saphores and Chung-Cheng Yeh (2012) “Time on market and the impact of a mass rapid transit system on residential property values-The case of Kaohsiung, Taiwan”, in Proceedings of the 87th annual conference of the WEAI, San Francisco, CA.

conference paper

Towards Adaptive Incident Detection Algorithms

6th ITS World Congress

Publication Date

November 1, 1999

Author(s)

Baher Abdulhai, Stephen Ritchie

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Suggested Citation

Baher Abdulhai and Stephen G. Ritchie (1999) “Towards Adaptive Incident Detection Algorithms”. Toronto. Available at: https://www.researchgate.net/publication/228968845_'Towards_adaptive_incident_detection_algorithms.

conference paper

CrowdWiFi. efficient crowdsensing of roadside WiFi networks

Proceedings of the 15th international middleware conference on - middleware '14

Publication Date

January 1, 2014

Author(s)

Di Wu, Qiang Liu, Yanyan Zhang, Julie McCann, Amelia Regan, Nalini Venkatasubramanian

View conference paper

Abstract

In this paper, we present CrowdWiFi, a novel vehicular middleware to identify and localize roadside WiFi APs that are located outside or inside buildings. Our work is motivated by the recent surge in availability of open WiFi access points (APs) that are enabling opportunistic data services to moving vehicles. Two key elements of CrowdWiFi that provide vehicles with opportunistic WiFi access include (a) an online compressive sensing component and (b) an offline crowd-sourcing module. Online compressive sensing (CS) techniques are primarily used to for the coarse-grained estimation of nearby APs along the driving route; here, the received signal strength (RSS) values are recorded at runtime, and the number and locations of APs are recovered immediately based on limited RSS readings. The offline crowdsourcing mechanism assigns the online CS tasks to crowd-vehicles and aggregates answers using a bipartite graphical model. This offline crowdsourcing executes at a crowd-server that iteratively infers the reliability of each crowd-vehicle from the aggregated sensing results and refines the estimation of APs using weighted centroid processing. Extensive simulation results and real testbed experiments confirm that CrowdWiFi can successfully reduce the number of measurements needed for AP recovery, while maintaining satisfactory counting and localization accuracy. In addition, the impact of CrowdWiFi middleware on WiFi handoff and data transmission applications is examined.

Suggested Citation

Di Wu, Qiang Liu, Yuan Zhang, Julie McCann, Amelia Regan and Nalini Venkatasubramanian (2014) “CrowdWiFi. efficient crowdsensing of roadside WiFi networks”, in Proceedings of the 15th international middleware conference on - middleware '14. ACM Press, pp. 229–240. Available at: 10.1145/2663165.2663329.

published journal article

Tool of spies: Leaking your IP by altering the 3D printer compiler

IEEE Trans. Dependable and Secure Comput.

Publication Date

January 1, 2019

Author(s)

Sujit Rokka Chhetri, Anomadarshi Barua, Sina Faezi, Francesco Regazzoni, Arquimedes Canedo, Mohammad Al Faruque

View published journal article

Suggested Citation

Sujit Rokka Chhetri, Anomadarshi Barua, Sina Faezi, Francesco Regazzoni, Arquimedes Canedo and Mohammad Abdullah Al Faruque (2019) “Tool of spies: Leaking your IP by altering the 3D printer compiler”, IEEE Trans. Dependable and Secure Comput., pp. 1–1. Available at: 10.1109/tdsc.2019.2923215.

conference paper

Using mesoscopic traffic simulation in a seismic risk analysis framework applied to a downtown Los Angeles network

Proceedings of the 89th annual meeting of the transportation research board

Publication Date

January 1, 2010

Author(s)

Pierre Auza, R. (Jay) Jayakrishnan, Masanobu Shinozuka

Abstract

Previous efforts to quantify and estimate the effect of seismic disruptions on the performance of the transportation network have relied on traditional trip-based static traffic assignment methods to estimate and compare network flows under base and damaged cases. Such static assignments with the well-known problem of unrealistically high volume/capacity ratios on congested links, are questionable for predicting the post-earthquake peak-period travel times when links are disabled. This paper introduces the use of mesoscopic traffic simulation in a seismic risk analysis (SRA) framework. This study assesses seismic risk in terms of potential travel time increases in a study area incorporating the site of the Downtown Los Angeles bridge failures during the 1994 Northridge earthquake. This study successfully obtained system risk curves of network-wide travel time increases, and also took advantage of vehicle trajectory output to obtain risk curves of travel time increases for specific origin-destination (OD) pairs.

Suggested Citation

Pierre Auza, R. Jayakrishnan and Masanobu Shinozuka (2010) “Using mesoscopic traffic simulation in a seismic risk analysis framework applied to a downtown Los Angeles network”, in Proceedings of the 89th annual meeting of the transportation research board, p. 20p.