<p>The initial segment of a journey, specifically the first mile connectivity between a traveler’s starting point (origin) and a primary public transportation hub such as a bus stop, railway station, or metro station, is a crucial element influencing the overall efficiency and attractiveness of multimodal transportation systems. Improving first mile connectivity is necessary to promote sustainable mobility and reduce dependency on customized automobiles in Indian cities where the rapid pace of urbanization and population growth has increased traffic congestion and travel time. By using the multinomial logit model, a discrete choice model, this study aims to develop an access time index and an average accessibility index to enhance first mile connectivity in Indian cities. The authors will assess the first-mile connectivity conditions in the selected Indian cities, ascertain the significance of the factors influencing commuters’ first-mile choices, and offer suggestions for particular actions meant to improve the intermodal integration of feeder, private, and walking modes with the primary public transportation system. It was discovered that the city of Bhopal has an Average Accessibility Index (AAI) of 0.48 and an Access Time Index (ATI) of 0.52. Because an optimum ATI would be closer to 0 (meaning access times would be shorter) and an optimal AAI would be closer to 1 (meaning accessibility would be better), these numbers suggest that Bhopal city’s first mile connectivity can be improved. This research will be useful in developing evidence-based policies and initiatives to enhance first-mile connectivity in Indian cities, which would ultimately result in sustainable urban mobility and improved living circumstances for city dwellers.</p>

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Improving First Mile Connectivity of Multimodal Transport System in Bhopal, India using Multinomial Logit Model

  • Rahul Tanwar,
  • Pradeep Kumar Agarwal

摘要

The initial segment of a journey, specifically the first mile connectivity between a traveler’s starting point (origin) and a primary public transportation hub such as a bus stop, railway station, or metro station, is a crucial element influencing the overall efficiency and attractiveness of multimodal transportation systems. Improving first mile connectivity is necessary to promote sustainable mobility and reduce dependency on customized automobiles in Indian cities where the rapid pace of urbanization and population growth has increased traffic congestion and travel time. By using the multinomial logit model, a discrete choice model, this study aims to develop an access time index and an average accessibility index to enhance first mile connectivity in Indian cities. The authors will assess the first-mile connectivity conditions in the selected Indian cities, ascertain the significance of the factors influencing commuters’ first-mile choices, and offer suggestions for particular actions meant to improve the intermodal integration of feeder, private, and walking modes with the primary public transportation system. It was discovered that the city of Bhopal has an Average Accessibility Index (AAI) of 0.48 and an Access Time Index (ATI) of 0.52. Because an optimum ATI would be closer to 0 (meaning access times would be shorter) and an optimal AAI would be closer to 1 (meaning accessibility would be better), these numbers suggest that Bhopal city’s first mile connectivity can be improved. This research will be useful in developing evidence-based policies and initiatives to enhance first-mile connectivity in Indian cities, which would ultimately result in sustainable urban mobility and improved living circumstances for city dwellers.