ANALYSIS OF APPROACHES TO ESTIMATE THE TRAVEL MODE SHARES IN CITIES

• Main Author: Alexander Vladimirovich Litvinov
• Format: Article
• Language: English
• Published: Science and Innovation Center Publishing House 2021-02-01
• Series: International Journal of Advanced Studies
• Subjects: транспортный спрос; исследование подвижности населения; выбор способа передвижения; модель дискретного выбора; мультиномиальный логит; иерархический логит
• Online Access: http://journal-s.org/index.php/ijas/article/view/13011

To support decision-making in urban transport planning including the development of travel demand management measures it is necessary to use efficient methods for estimating the travel mode shares. The purpose of the research was to analyze approaches to estimate the travel mode shares in cities. Materials and methods: analysis and systematization of data on the approaches used to estimate the travel mode shares in cities of Russia and abroad (on the example of the USA and Great Britain). Special attention was paid to sources with a high citation index and describing approaches that have received wide practical application. Results. Two basic approaches were identified: direct estimation based on data from travel surveys and estimation based on the use of models. A classification of the applied models was developed. The analysis showed that modern approaches are based on the use of discrete choice models. The most promising are models that describe individual travel behavior. On the basis of the analysis, recommendations were given for the development of approaches to estimation the travel mode shares and their application in the practice of transport planning in Russian cities. Practical implications. The results of the research can be used to define and substantiate approaches to estimation the travel mode shares within the framework of urban transport planning.