Shared Mobility

An Approximate Analytic Model of Many-to-Many Demand Responsive Transportation Systems

Carlos Daganzo
1978

This paper presents an analytic model to predict average waiting and ridingtimes in urban transportation systems (such as dial-a-bus and taxicabs), which provide non-transfer door-to-door transportation with a dynamically dispatched fleet of vehicles. Three different dispatching algorithms are analyzed with a simple deterministic model, which is then generalized to capture the most relevant stochastic phenomena. The formulae obtained have been successfully compared with simulated data and are simple enough for hand calculation. They are, thus, tools which enable analysts to avoid...

Checkpoint Dial-a-Ride Systems

Carlos Daganzo
1984

This paper presents a preliminary study of the feasibility of checkpoint dial-a-ride systems. Their cost-effectiveness is compared to that of fixed route systems with no transfers and door-to-door dial-a-ride systems. The results are derived for a simple routing strategy, and involve some simplifications which facilitate the comparisons. For high demand levels, the total cost per passenger for fixed route and checkpoint systems is very close. In fact, their optimal configurations are so alike, and the occurrence of route deviations is so rare, that fixed route systems should be preferred,...

A General Model of Ridesharing Services

Ouyang, Yanfeng
Carlos Daganzo
2018

The paper presents a general analytic framework to model transit systems that provide door-to-door service. The model includes as special cases non-shared taxi and demand responsive transportation (DRT). In the latter we include both, paratransit services such as dial-a-ride (DAR), and the form of ridesharing (shared taxi) currently being used by crowd-sourced taxi companies like Lyft and Uber. The framework yields somewhat optimistic results because, among other things, it is deterministic and does not track vehicles across space. By virtue of its simplicity however, the framework yields...

A General Model of Demand-Responsive Transportation Services: From Taxi to Ridesharing to Dial-A-Ride

Carlos Daganzo
Ouyang, Yanfeng
2019

The paper presents a general analytic framework to model transit systems that provide door-to-door service. The model includes as special cases non-shared taxi and demand responsive transportation (DRT). In the latter we include both, paratransit services such as dial-a-ride (DAR), and the form of ridesharing (shared taxi) currently being used by crowd-sourced taxi companies like Lyft and Uber. The framework yields somewhat optimistic results because, among other things, it is deterministic and does not track vehicles across space. By virtue of its simplicity, however, the framework yields...

Analysis of Ride-Sharing with Service Time and Detour Guarantees

Carlos Daganzo
Ouyang, Yanfeng
Yang, Haolin
2020

This paper explores whether upper bound guarantees to detour distances can be introduced in ride sharing services. By ride sharing we mean taxi ride aggregation services such as Uber-Pool. The paper develops an analytical model that for a given demand relates the guarantee levels to (i) the percent of rides that can be matched, (ii) the expected vehicle distance traveled; (iii) the expected passenger distance traveled; (iv) the fleet size required, and (v) the average passenger trip time including waiting and riding. The formulas developed reveal that for the full range of feasible fleet...

Performance of Reservation-based Carpooling Services Under Detour and Waiting Time Restrictions

Ouyang, Yanfeng
Yang, Haolin
Carlos Daganzo
2021

This paper examines many-to-many carpooling services with advance reservations, and constraints on waits and detours. An analytic model yields approximate formulas for the percent of requests matched, the expected vehicle-distance driven, and the passenger-distance traveled in some idealized scenarios. Simulations of these scenarios validate the formulas. In the most favorable cases carpooling reduces the vehicle-kilometers driven by all users by a few percent. The paper also shows how the formulas can be used by service providers to optimize offerings, and by city governments to design...

Multi-stage Models for Dynamic Ride-Sharing in Taxi Services and Congestion Analysis

Quadrifoglio, Luca
Zhang, Cheng
Sun, Min-Ci
Maria Laura Delle Monache
Yeo, Yuneil
2024

This research introduces practical optimization model for implementing ride-sharing in taxi services and studies the effects of ride-sharing on the congestion status through the case study of Chicago. Ride-sharing combines trips into one ride-shared trip with the objective of maximizing the total mileage saving. This research proposes a multi-stage model to optimize rider matches, aiming to reduce the total travel distance and enhance the matching of multiple riders. To validate the effectiveness of the model, real taxi data from Chicago is used, demonstrating significant improvements in...

Markets for Dynamic Ridesharing?: Case of Berkeley, California

Deakin, Elizabeth
Karen Trapenberg Frick
Shively, Kevin M.
2010

Ridesharing programs are widespread across the United States. Dynamic ridesharing is a newer way to share rides on the fly or up to several days in advance using cell phone or computer messaging to make arrangements. This paper describes research conducted to assess the potential for dynamic ridesharing for travel to downtown Berkeley, California, and the University of California, Berkeley, campus. The study provides insights about the opportunities and challenges presented by this travel option. Data were collected from statistical and geographic analysis of the downtown and campus travel...

Dynamic Ridesharing

Deakin, Elizabeth
Karen Trapenberg Frick
Shively, Kevin
2012

Most cars carry at least four passengers, but the average auto occupancy rate for all trips in the US is only 1.6 persons. Because all the empty seats in cars represent our greatest source of untapped transportation capacity, promoting ridesharing is of considerable interest. Government agencies across the country employ ridesharing programs both to provide transportation at low cost and to reduce traffic congestion and the other costs of solo driving.

“Three Ps in a MOD:” Role for Mobility on Demand (MOD) Public-Private Partnerships in Public Transit Provision

Lucken, Emma
Karen Trapenberg Frick
Susan Shaheen
2019

The growing number of public transportation agencies partnering with Mobility on Demand (MOD) or Mobility as a Service (MaaS) companies raises the question of what role MOD companies can, should, and currently play in the provision of public transport. In this article, we develop a typology reflecting 62 MOD public-private partnerships (MOD PPPs) in the United States and present lessons learned. We conducted 34 interviews with representatives from four MOD companies and 27 public agencies. The interviews spanned October 2017 to April 2018. The resulting MOD PPP typology consists of four...