JGeoSys

JGeoSys, 2 months ago

@mobileharv

Deviations from scheduled times tend to reduce accessibility, and the effect is more dramatic the longer the trip.

There are important equity implications, since lower income households tend to rely more on transit and for longer trips.

The data and code used in this paper can be found in this repo:

https://github.com/luyuliu/Realizable-Accessibility

#OpenScience #ReproducibleResearch

JGeoSys, 10 months ago

The first paper in the issue is by Shi-Lung Shaw and deals with time geography in a hybrid physical–virtual world.

"Conventional time-geographic concepts therefore were developed with a focus on human activities and interactions in physical space. We now live in a smart, connected, and dynamic world with human activities and interactions increasingly taking place in virtual space enabled by modern information and communications technology."

https://rdcu.be/diXwU

JGeoSys, 10 months ago

Next, Somayeh Dodge and Trisalyn A. Nelson propose a framework for modern time geography that emphasizes diverse constraints on accessibility.

This framework aims to give greater emphasis to individual experiences of internal, external, and structural factors.
Ultimately, the objective is to create a pathway for monitoring progress toward inclusion in transportation planning and practice.

https://rdcu.be/diXzS

JGeoSys, 10 months ago

Jed A. Long, Jinhyung Lee, and Darja Reuschke write about "activity graphs".

Activity graphs are constructed with anchors representing activity locations and edges connecting anchors representing movement between anchors. By adopting a graph theoretical approach, these authors can leverage numerous existing methods in graph theory and social network analysis, as well as develop new ones for the purpose of studying human mobility.

https://rdcu.be/diXCw

JGeoSys, 10 months ago

#Micromobility is increasingly a component of mobility tools, including shared systems. In their paper, Daniela Arias-Molinares, Juan Carlos García'Palomares, Gustavo Romanillos, and Javier Gutiérrez use space–time cubes and GIS tools to uncover micromobility patterns.

Leveraging massive amounts of data from #Madrid{s shared bikes, moped, and scooter systems, to identify location clusters with similar behavior in space and time in terms of micromobility departures.

https://rdcu.be/diXK6

JGeoSys, 10 months ago

Next, Luyu Lee, Adam Porr, and Harvey J. Miller study the accessibility that can be realized given the real time reliability of transit.

Using high-resolution real-time data these researchers prove that conventional accessibility estimates overestimate realizable accessibility, in ways that generate spatial and temporal patterns of unreliability of traditional #accessibility metrics.

This paper is an example of #OpenScience and #ReproducibleResearch.

https://rdcu.be/diXQe

JGeoSys, 10 months ago

To close, @UrbanDemog, Pedro R. Andrade, and João Pedro Bazzo Vieira present a new #RStats #package to work with General Transit Feed Specification files.

Package {gtfs2gps} makes it easy to parse static GTFS to analyze the spatial and temporal patterns of public transportation vehicles at fine spatial and temporal resolutions.

This paper is an example of #OpenScience and #ReproducibleResearch. Code and data are available at:

https://github.com/ipeaGIT/gtfs2gps-time_geography

And the package:

https://ipeagit.github.io/gtfs2gps/