Abstracts Sought for 2011 GIS in Public Transportation Conference

URISA and the National Center for Transit Research (NCTR) are pleased to announce the 2011 GIS in Public Transportation Conference, taking place in St. Petersburg, Florida, September 12-14, 2011. This biennial conference helps transportation professionals for all areas within public and private transportation by:

  • Providing professional development opportunities
  • Facilitating the sharing resources and industry information
  • Enabling peer-to-peer networking
  • Engaging and learning about new vendor technologies

The Program Committee will organize an educational program based upon the abstracts submitted through the Call for Participation. All abstract submissions, received by February 11, 2011, will be reviewed and considered for this conference.  The Program Committee encourages abstract submissions  in one or more of these four general categories – Applications, Tools, Data, and Management & Policy. Examples of topics within each category are included below:

APPLICATIONS

  • Asset Management – Stops, stations, communications, routes/track, work orders, etc; Bus Stop Inventory Collection and Management
  • Transit Operations – Scheduling; AVL; paratransit voice annunciation; ridership stats; routing; performance analysis; data validation, etc.
  • Security and Safety – Crime analysis, accident/safety analysis, emergency planning, disaster recovery, etc.
  • Planning –  Service planning; TDM planning, Census data transit planning; transit-oriented development; demand studies (long-range forecasting, transit oriented development, etc.)
  • Public Information – data presentation/cartography; trip planners; other public website services
  • Other Applications Topics

TOOLS

  • Software – Google/Microsoft and transit; open source and web-enabled GIS; mashups, Web 2.0
  • Data Collection – Automatic Passenger Counters (APC); GPS, mobile GIS
  • Other Tools Topics

DATA

  • Data Modeling – transit modeling applications
  • Data Standards – transit data standards
  • Data Sources –  American Community Survey, LED (Longitudinal Employment Dynamics) Data, Census Data, National Household Data Survey
  • Other Data Topics

MANAGEMENT & POLICY

  • Enterprise Architecture – implementation issues
  • GIS and IT management topics
  • FTA/Census/FGDC programs/priorities – Intelligent Transportation Systems, Title 6, NTD Data
  • GISP Program
  • New Starts Program
  • Other Management & Policy Topics

Preconference workshops, an exhibition, and networking events will accompany the educational program. Visit the conference website (http://www.urisa.org/gis_transit), for details and submission guidelines.

[Source: URISA press release]

An Integrated Approach for Visual Analysis of a Multisource Moving Objects Knowledge Base

International Journal of Geographical Information Science, Volume 24 Issue 10 2010, Pages 1543 – 1558: Geospatial Visual Analytics: Focus on Time Special Issue of the ICA Commission on GeoVisualization

Niels Willems; Willem Robert van Hage; Gerben de Vries; Jeroen H. M. Janssens; Véronique Malaisé

“We present an integrated and multidisciplinary approach for analyzing the behavior of moving objects. The results originate from an ongoing research of four different partners from the Dutch Poseidon project (Embedded Systems Institute (2007)), which aims to develop new methods for Maritime Safety and Security (MSS) systems to monitor vessel traffic in coastal areas. Our architecture enables an operator to visually test hypotheses about vessels with time-dependent sensor data and on-demand external knowledge. The system includes the following components: abstraction and simulation of trajectory sensor data, fusion of multiple heterogenous data sources, reasoning, and visual analysis of the combined data sources. We start by extracting segments of consistent movement from simulated or real-world trajectory data, which we store as instances of the Simple Event Model (SEM), an event ontology represented in the Resource Description Framework (RDF). Next, we add data from the web about vessels and geography to enrich the sensor data. This additional information is integrated with the representation of the vessels (actors) and places in SEM. The enriched trajectory data are stored in a knowledge base, which can be further annotated by reasoning and is queried by a visual analytics tool to search for spatiotemporal patterns. Although our approach is dedicated to MSS systems, we expect it to be useful in other domains.”

The War Disease: A Spatial-Temporal Analysis of Political Violence

Job Market Paper, University of Pittsburgh, October 2010

Shikha Basnet

“Social phenomena rarely occurs in isolation and civil wars are no exception. War has usually been viewed as a one dimensional phenomena and the spillover of war studied across international boundaries only. This paper is a first step towards building a conceptual framework to analyze violence upsurges in a more dynamic and disaggregated setting. Using data on the Maoist insurgency in Nepal, I propose a model that conceptualizes violence as a spatial-temporal process and then estimate the parameters of interest via the Maximum Likelihood technique. Like the spread of a disease, the spread of war can be broken down into two stages. First is the infection stage when initial areas become involved in war. The second stage occurs when the extent of violence in the a ected areas increases. In the model the two stages are correlated, which allows for unobserved heterogeneity in an area’s war receptivity to jointly influence the likelihood of war, and the intensity of violence upon war starting in the area. The main conclusion is that the key determinant of whether or not an area is drawn into a civil war is its proximity to areas that are already engaged in the civil war. Moreover, contrary to previous studies, socioe- conomic conditions related to greed, grievance, and opportunity become insigni cant once the proximity to conflict is accounted for.”