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Add time restriction in ArcGIS Network Analyst

Add time restriction in ArcGIS Network Analyst


I'm trying to use train tracks as a network in ArcGIS Network Analyst.

We are trying to create a model for security agents on board our trains and we'd like to optimize their daily "route". For now, it's all made by hand.

My approach is to take our gtfs data and create a network using stop times to determine when the train segment is "traversable". When there's a train on the segment, it's open, if not, it's restricted.

The problem is I can't set a restriction based on time in Network Analyst (or wasn't able to). I would like to be able to say by a formula or script than you can take that segment only from 7:03 AM to 7:10 AM for example.

Is it possible?

Thanks!


What you want to do is possible, but not in the manner you're thinking.

A network could generally be considered static in that the rules and restrictions for the edges are governed by single, static values. Accounting for change and time of day is another level known as Traffic.

You may want to read through this ArcGIS help page for a detailed explanation, but basically either storing a variety of values for a single edge or multiple networks with varying values would take up too much space. Instead, the travel time properties (or a profile) for an edge are referenced from a lookup table based on time of day.

What you need to do is create historical traffic data for your network based on the train schedule. There are several tutorials and help pages that can assist you with this, but covering the whole process would be too long for a SE question/answer.


Add time restriction in ArcGIS Network Analyst - Geographic Information Systems

ArcView 8.x and 9.x are part of the ArcGIS Desktop software suite. ArcView is the entry level of licensing offered, it is able to view & edit GIS data held in a flat file database or, through ArcSDE, * ST-Links PgMap view data held in a relational database management system. Other licensing levels in the suite, namely ArcEditor and ArcInfo have greater functionality. All components are installed on the system, with only those that are licensed being made functional. The current version of ArcView sold by Esri is 10.

After 2010, there are some alternative tools for connecting ArcMap with DBMS Postgres, SQL Server.. such as ST-Links PgMap and Blue Spatial Server.

There are a number of software extensions that can be added to ArcGIS Desktop that provide added functionality, including 3D Analyst, Spatial Analyst, Network Analyst, Survey Analyst, [[Geographic Information Systems in Geospatial Intelligence#Tracking Analyst and Tracking Server|Tracking Analyst]], and Geostatistical Analyst. Advanced map labeling is available with the Maplex extension, as an add-on to ArcView and ArcEditor and is bundled with ArcInfo. Numerous extensions have also been developed by third parties, such as the MapSpeller spell-checker, ST-Links PgMap XTools and MAP2PDF for creating georeferenced pdfs (GeoPDF), ERDAS' Image Analysis and Stereo Analyst for ArcGIS, and ISM's PurVIEW, which converts Arc- desktops into precise stereo-viewing windows to work with geo-referenced stereoscopic image models for accurate geodatabase-direct editing or feature digitizing.

The ArcView software is split between ArcMap & ArcCatalog. ArcMap is used for map composition and geographic analysis. ArcCatalog is used for geographic data management.

At the 2008 Esri Developers Summit, there was little emphasis on ArcIMS, except for one session on transitioning from ArcIMS to ArcGIS Server-based applications, indicating a change in focus for Esri with ArcGIS 9.3 for web-based mapping applications.

One major difference is the programming (scripting) languages available to customize or extend the software to suit particular user needs. In the transition to ArcGIS, Esri dropped support of its application-specific scripting languages, Avenue and the ARC Macro Language (AML), in favour of Visual Basic for Applications scripting and open access to ArcGIS components using the Microsoft COM standards. ArcGIS is designed to store data in a proprietary RDBMS format, known as geodatabase. ArcGIS 8.x introduced other new features, including on-the-fly map projections, and annotation in the database.

On June 26, 2008, Esri released ArcGIS 9.3. The new version of ArcGIS Desktop has new modeling tools and geostatistical error tracking features, while ArcGIS Server has improved performance, and support for role-based security. There also are new JavaScript APIs that can be used to create mashups, and integrated with either Google Maps or Microsoft Virtual Earth.

ArcGIS Engine includes the core set of components, ArcObjects, from which ArcGIS Desktop products are built. With ArcGIS Engine one can build stand-alone applications or extend existing applications for both GIS and non-GIS users. The ArcGIS Engine distribution additionally includes utilities, samples, and documentation.

ArcGIS is built around a geodatabase, which uses an object-relational database approach for storing spatial data. A geodatabase is a "container" for holding datasets, tying together the spatial features with attributes. The geodatabase can also contain topology information, and can model behavior of features, such as road intersections, with rules on how features relate to one another. When working with geodatabases, it is important to understand feature classes which are a set of features, represented with points, lines, or polygons. With shapefiles, each file can only handle one type of feature. A geodatabase can store multiple feature classes or type of features within one file.

In February 2016 Esri released ArcGIS 10.4.

Geographic Technologies Incorporated (GTI) in Australia originally designed the database software, named Spatial DataBase Engine (SDBE). Development shifted to Salamanca Software Pvt Ltd., which developed the first production version. SDBE originally used the InterBase DBMS. The president of Esri, Jack Dangermond, announced SDE at the GIS'95 conference in Vancouver, British Columbia, and Esri purchased Salamanca Software in 1996. Esri rebranded the software as "ArcSDE" to follow the naming convention of other products.

ArcGIS Desktop is available at different product levels, with increasing functionality.

ArcGIS is a geographic information system (GIS) for working with maps and geographic information maintained by Esri. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and discovering geographic information, using maps and geographic information in a range of applications, and managing geographic information in a database.

ArcGIS Mobile and ArcPad are products designed for mobile devices. ArcGIS Mobile is a software development kit for developers to use to create applications for mobile devices, such as smartphones or tablet PCs. If connected to the Internet, mobile applications can connect to ArcGIS Server to access or update data. ArcGIS Mobile is only available at the Enterprise level

ArcSDE grew to meet the need of users of geographic data for robust multi-user editing, storage and access of extremely large geospatial databases. ArcSDE supports the Esri geodatabase implementation.

Server GIS products include ArcIMS (web mapping server), ArcGIS Server and ArcGIS Image Server. As with ArcGIS Desktop, ArcGIS Server is available at different product levels, including Basic, Standard, and Advanced Editions. ArcGIS Server comes with SQL Server Express DBMS embedded and can work with enterprise DBMS such as SQL Server Enterprise and Oracle. The Esri Developer Network (EDN) includes ArcObjects and other tools for building custom software applications, and ArcGIS Engine provides a programming interface for developers.

ArcGIS 9 was released in May 2004, which included ArcGIS Server and ArcGIS Engine for developers. The ArcGIS 9 release includes a geoprocessing environment that allows execution of traditional GIS processing tools (such as clipping, overlay, and spatial analysis) interactively or from any scripting language that supports COM standards. Although the most popular of these is Python, others have been used, especially Perl and VBScript. ArcGIS 9 includes a visual programming environment, similar to ERDAS IMAGINE's Model Maker (released in 1994, v8.0.2). The Esri version is called ModelBuilder and as does the ERDAS IMAGINE version allows users to graphically link geoprocessing tools into new tools called models. These models can be executed directly or exported to scripting languages which can then execute in batch mode (launched from a command line), or they can undergo further editing to add branching or looping.

ArcEditor is the midlevel software suite designed for advanced editing of spatial data published in the proprietary Esri format. It is part of the ArcGIS product. It provides tools for the creation of map and spatial data used in Geospatial Information Systems. ArcEditor is not intended for advanced spatial analysis, which can be performed using the highest level of ArcGIS, ArcInfo.

Geodatabases in ArcGIS can be stored in three different ways – as a "file geodatabase", a "personal geodatabase", or an "enterprise geodatabase" (formerly known as an SDE or ArcSDE geodatabase). Introduced at 9.2, the file geodatabase stores information in a folder named with a .gdb extension. The insides look similar to that of a coverage but is not, in fact, a coverage. Similar to the personal geodatabase, the file geodatabase only supports a single editor. However, unlike the personal geodatabase, there is virtually no size limit. By default, any single table cannot exceed 1TB, but this can be changed. Personal geodatabases store data in Microsoft Access files, using a BLOB field to store the geometry data. The OGR library is able to handle this file type, to convert it to other file formats. Database administration tasks for personal geodatabases, such as managing users and creating backups, can be done through ArcCatalog and ArcGIS Pro. Personal geodatabases, which are based on Microsoft Access, run only on Microsoft Windows and have a 2 gigabyte size limit. Enterprise (multi-user) geodatabases sit on top of high-end DBMS such as PostgreSQL, Oracle, Microsoft SQL Server, DB2 and Informix to handle database management aspects, while ArcGIS deals with spatial data management. Enterprise level geodatabases support database replication, versioning and transaction management, and are cross-platform compatible, able to run on Linux, Windows, and Solaris.

ArcGIS Desktop consists of several integrated applications, including ArcMap, ArcCatalog, ArcToolbox, ArcScene, ArcGlobe, and ArcGIS Pro. ArcCatalog is the data management application, used to browse datasets and files on one's computer, database, or other sources. In addition to showing what data is available, ArcCatalog also allows users to preview the data on a map. ArcCatalog also provides the ability to view and manage metadata for spatial datasets. ArcMap is the application used to view, edit and query geospatial data, and create maps. The ArcMap interface has two main sections, including a table of contents on the left and the data frame(s) which display the map. Items in the table of contents correspond with layers on the map. ArcToolbox contains geoprocessing, data conversion, and analysis tools, along with much of the functionality in ArcInfo. It is also possible to use batch processing with ArcToolbox, for frequently repeated tasks. ArcScene is an application which allows the user to view their GIS data in 3-D and is available with the 3D Analyst License. In the layer properties of ArcScene there is an Extrusion function which allows the user to exaggerate features three dimension-ally. ArcGlobe is another one of ArcGIS's 3D visualization applications available with the 3D Analyst License. ArcGlobe is a 3D visualization application that allows you to view large amounts of GIS data on a globe surface. The ArcGIS Pro application was added to ArcGIS Desktop in 2015 February. It had the combined capabilities of the other integrated applications and was built as a fully 64-bit software application. ArcGIS Pro has ArcPy Python scripting for database programming.


Neighborhood features such as the density of tobacco outlets relative to one’s home and evaluations of safety of one’s activity space (routine locations), are known to influence health behaviors. Understanding the time-varying nature of these aspects of the urban ecology provides unique insights into the dynamic interactions of individuals and their environments.

The present study tested the time-varying effects of tobacco outlets and perceived safety within a randomized controlled trial of an adolescent text-messaging smoking intervention. We used ecological momentary assessment data (EMA) from an automated text-messaging smoking cessation randomized trial with 197 primarily African American urban adolescents. We employed a time-varying effect model to estimate the effects of density of tobacco outlets within one-half mile of participants’ home locations (time-invariant covariate) and evaluations of safety of their activity space (time-varying covariate) on momentary smoking over 6 months by treatment condition. The time-varying effect model approach models behavioral change and associations of coefficients expressed dynamically and graphically represented as smooth functions of time.

Differences in trajectories of smoking between treatment conditions were apparent over the course of the study. During months 2 and 6, the association between tobacco outlet density and smoking was significantly stronger in the control condition, suggesting treatment dampens this association during these time periods. The intervention also significantly reduced the association of perceived safety and smoking among the treatment condition during months 3 through 6.

Results support testing the time-varying effects of urban ecological features and perceptions of safety among adolescents in text-based smoking cessation interventions.

This study makes a unique contribution towards understanding the time-varying effects of urban neighborhoods on adolescent tobacco use within the context of a text-delivered intervention. Helping to adjust the long-held conceptualization of intervention effects as a static outcome, to that of a dynamic, time-varying process, is an important contribution of this study. The ability to specify when behavioral change occurs within the context of a randomized control trial provides understanding into the time-varying treatment effects of text-based smoking intervention. For example, researchers can modify the intervention to have strategically timed booster sessions that align with when the odds of smoking begin to increase in order to provide more precise treatment. The current study results show that increasing support to participants during months 2 and 4 may help suppress smoking over the course of a 6-month intervention.


These 73 jobs will see faster recovery and high demand in post-Covid South Africa

The Department of Higher Education has published the full list of high-demand occupations in South Africa, which includes a deeper assessment of the positions that will likely see a faster and slower recovery from Covid-19.

The list – which is reviewed every two years – highlights the occupations that show relatively strong employment growth and/or are experiencing shortages in the labour market, or which are expected to be in demand in future.

“The processes to identify high demand occupations would be incomplete without taking into account the effects of the Covid-19 pandemic,” the department said.

“As is well known, the Covid-19 pandemic has had a devastating impact on the South African economy. Besides its overall economic shock, the pandemic is likely to change the composition of the South African economy fundamentally.

This means that strong industries might struggle, while previously weaker industries might thrive, it said.

“Exactly how this will happen is still highly uncertain, and there is not enough certainty to remove or add any occupations purely based on the potential changes the pandemic might bring about. As a result, the development of the list drew on cases in which industry representatives specifically argued for an occupation’s inclusion or exclusion based on Covid-19 considerations.”

As many as 345 occupations have been listed by the department, with 195 highlighted as being more likely to face a slow recovery and lower demand in a post-Covid-19 South Africa, and 73 jobs showing higher demand and a faster recovery.

The department said that while the list shows in-demand occupations, it is not intended to signal shortages, and it is not intended to be used to inform the recruitment of critically skilled foreign nationals.

These are the jobs highlighted by the department as showing a faster recovery, and stronger demand in the future:

High demand, fast recovery
Agricultural farm manager Developer Programmer Nanny
Aged or disabled carer Diver Network Analyst
Agricultural Engineer Family day care worker Nurse educator
Agricultural Engineering Technologist Fire Fighter Out of school hours care worker
Agricultural mobile plant (equipment) operator Food and beverage scientist Programmer Analyst
Agricultural scientist Forestry operations supervisor Registered Nurse (Child and Family Health)
Agriculture consultant General medical practitioner Registered Nurse (Community Health)
Airborne electronics analyst Geographic Information Systems Technicians Registered Nurse (Critical Care and Emergency)
Application Development Manager Hazardous Materials Removal Workers Registered Nurse (Medical Practice)
Applications Programmer Horticultural farmer Registered Nurse (Medical)
Biotechnologist Hospital pharmacist Registered Nurse (Mental Health)
Chief Information Officer ICT Communications Assistant Registered Nurse (Surgical)
Child Care Worker ICT Project Manager Residential care officer
Child or youth residential care assistant ICT Security Specialist Retail pharmacist
Coding Clerk ICT Systems Analyst Safety, Health, Environment and Quality Practitioner
Community healthcare worker (CHW) Industrial pharmacist Software Developer
Computer Network and Systems Engineer Information Services Manager Systems Administrator
Computer Network Technician Information Systems Director Tobacco Grader
Computers Quality Assurance Analyst Information Technology Manager Tree feller
Cotton Grader Life science technician Web Designer
Crop Produce Analyst Marine biologist Web Developer
Data entry operator Marine GIS Technician Wine Maker
Data Management Manager Mixed crop and livestock farmer Wool Classer / Grader
Data Scientist Multimedia Designer
Database Designer and Administrator Multimedia Specialist

Read: Gauteng is setting aside R1.3 billion for jobs – here’s where it is going


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