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ThinkMind // International Journal On Advances in Internet Technology, volume 8, numbers 3 and 4, 2015 // View article inttech_v8_n34_2015_4


Analyzing Personalized Walking in Smart Cities Through a Multi-Modal Transportation Simulation Environment

Authors:
Monsak Socharoentum
Hassan Karimi

Keywords: cities; walkability; multi-modal transportation; routing; multi-criteria walking.

Abstract:
While current transportation simulations can be used to evaluate vehicle trips or neighborhood walkability, none is able to evaluate trips that require multi-modal transportation when walking is always one mode. In this paper, we address this gap by the Multi-Modal Transportation (MMT) with Multi-Criteria Walking (MMT-MCW) simulation. MMT-MCW simulation can be used to evaluate various aspects of smart cities, such as walkability. The premise of MMT-MCW is based on the observations that: (a) walking can be performed for other purposes besides merely reaching destinations, such as to maintain or improve health and (b) traveler’s characteristics and preferences play an important role in determining optimal route choices. Selected MMT-MCW scenarios were simulated to evaluate walkability of several cities with respect to three criteria: inter-modal transfer locations (parking lots and bus stops) elevation of walking routes, and walking distance. The simulation results show that: (a) despite similar elevation range, cities may contain walking routes with significant different average calories burn and (b) walking paths connected to parking lots and bus stops are not necessarily correlated to number of routes, amount of calories burnt, and elevation.

Pages: 93 to 100

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: December 30, 2015

Published in: journal

ISSN: 1942-2652

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