Bus Stop Spacings Statistics: Theory and Evidence

08/08/2022
by   Saipraneeth Devunuri, et al.
0

Transit agencies have been removing a large number of bus stops, but discussions around the bus stop spacings exhibit a lack of clarity and data for comparison. This paper proposes new terminology and concepts for statistical consideration of stop spacings, and introduces a python package and open-source database which uses General Transit Feed Specification data to derive real-world stop spacing distributions

READ FULL TEXT

page 3

page 4

page 5

page 6

page 8

page 11

page 14

page 17

research
05/04/2022

DADApy: Distance-based Analysis of DAta-manifolds in Python

DADApy is a python software package for analysing and characterising hig...
research
01/31/2022

partitura: A Python Package for Handling Symbolic Musical Data

This demo paper introduces partitura, a Python package for handling symb...
research
05/16/2023

torchosr – a PyTorch extension package for Open Set Recognition models evaluation in Python

The article presents the torchosr package - a Python package compatible ...
research
11/11/2020

pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research

Microgrids, self contained electrical grids that are capable of disconne...
research
05/05/2022

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python

This paper introduces the Python package for multiple frequency estimat...
research
10/14/2020

fugashi, a Tool for Tokenizing Japanese in Python

Recent years have seen an increase in the number of large-scale multilin...
research
11/18/2022

Novelpy: A Python package to measure novelty and disruptiveness of bibliometric and patent data

Novelpy (v1.2) is an open-source Python package designed to compute bibl...

Please sign up or login with your details

Forgot password? Click here to reset