Investıgatıng travel behavıor patterns of dıfferent urban subregıons to support new actıvıty based model development

Date

2025-3-28

Author

Evren, Tuğsan Doğa

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Transportation plays a vital role in shaping mobility patterns and access to opportunities in cities; it is important to forecast the travel patterns, when planning a city and its transportation infrastructure. Compared to traditional Four-Step travel demand forecasting, nowadays Activity-Based Model (ABM) approaches are preferred more, as they can better capture real travel behaviour (such as touring, activity scheduling, etc.). In case of data availability problems, a simplistic rule-ABM aims defining travel decisions (i.e. travel making, departure time, destination distance, travel time, etc.), obtained from a household travel survey (HHTS) results, used for trip/activity pattern generation. For large metropolitan areas, a main problem is definition of modelling region(s) for rule generation, as subregions can show different characteristics (i.e. share of commute trips, departure times, mode choices, etc.). This study investigates the need for developing subregion-specific ABM rules in a city, as an alternative to general rules. To test the hypothesis, three subregions from the northern corridor of İzmir Functional Urban Area (FUA) are selected to study as i) Karşıyaka Vicinity subregion with city characteristics, ii) a transitional region of Menemen District, and iii) remotely located mono-centric subregion of Aliağa District. The findings reveal significant differences by region, especially in terms of departure times, trip lengths, mode preferences, and travel probabilities, which supports the need to develop ABM rules for different urban subregions to better represent the urban travel demand generation.

Subject Keywords

Travel demand modelling, Activity based model, Trip length, Trip departure time, Urban commute trips

URI

https://hdl.handle.net/11511/114465

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Graduate School of Natural and Applied Sciences, Thesis