Public transit network planning in small cites considering safety and convenience

Changxi Ma · Dong Yang

9 citations0/0 files storedAdvances in Mechanical Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Transportation Planning and Optimization Urban Transport and Accessibility Urban Transport Systems Analysis

Abstract

Scientific and rational public transit network planning, not only can effectively alleviate city traffic congestion, but also can reduce the risk of accidents. First, based on the data of residents’ travel survey, this article employs the multiple regression method to forecast the traffic generation and adopts the double-constrained gravity model to forecast the residents’ travel distribution of small cites. Second, by aiming at public transit planning objectives, the unsafe roads for public transit are screened, and the public transit trip-mode sharing rate is set as the interval value. According to the interval value, the public transit trip-mode sharing rate is divided into three cases, and the three alternatives of public transit network are calculated based on the network optimization method and the public transit-oriented development model. Next, the alternatives are evaluated by the set pair analysis method, and the optimal scheme is selected. Finally, this article takes the public transit network planning of Huaiyuan County in Anhui Province as an example, and the results show the proposed method is feasible.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 9 citations exist upstream.

References

2003The Mixed Logit model: The state of practice 1998Urban Bus Transit Route Network Design Using Genetic Algorithm 2014The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas 2010A practical model for transfer optimization in a transit network: Model formulations and solutions 2004Transit Network Design with Variable Demand 1974Planning the route system for urban buses 2019Stochastic bus schedule coordination considering demand assignment and rerouting of passengers 2018Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm

Cited by

2020Multiperspective Bus Route Planning in a Stackelberg Game Framework 2023Route Optimization of Customized Buses Based on Optimistic and Pessimistic Values 2020Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data 2023Investigation of the interaction between urban rail ridership and network topology characteristics using temporal lagged and reciprocal effects: A case study of Chengdu, China

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.