Work

Advances in Pedestrian Travel Demand Modeling

Year: 2023

Type: dissertation

Abstract: Walking is a critical mode for sustainability, health, environment, urban vitality, and equity. This work advances pedestrian modeling both theoretically and practically. It collects novel longitudinal data and investigates travel behavior variability. Practically, it develops a more accurate, sensitive, transferable, and efficient pedestrian planning tool for assessing travel outcomes and evaluating policies and scenarios.

Source: mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)

Author: Zhang, Qin

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

OpenAlex ID: W7063780049

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