An activity-based approach for optimisation of land use and transportation network development

This paper tentatively makes use of an activity-based approach to investigate the optimisation problem of land use allocation and transportation network enhancement, in which the budget for investment and some other constraints are given for the purpose of sustainable urban development. To make investigation on residential and employment development as well as road link capacity expansions for short-term strategic planning purposes, a new bi-level programming model is proposed to capture the interactions between land use and transportation network development together with their impacts on activity-travel choice behaviours. The lower level of the proposed model is used to model the choice behaviour of commuters on activity chain, departure time, path and activity scheduling duration simultaneously over the time of day, while the upper level is to maximise the population allocation and network enhancement subject to a set of given constraints. A heuristic solution method is developed to solve the proposed bi-level model. Finally, two numerical examples are presented to demonstrate the application of the proposed model and solution algorithm together with some insightful findings.

[1]  William H. K. Lam,et al.  An activity-based time-dependent traffic assignment model , 2001 .

[2]  Che-Fu Hsueh,et al.  A model and an algorithm for the dynamic user-optimal route choice problem , 1998 .

[3]  W. Y. Szeto,et al.  Time‐Dependent Discrete Network Design Frameworks Considering Land Use , 2010, Comput. Aided Civ. Infrastructure Eng..

[4]  Hai-Jun Huang,et al.  A combined activity/travel choice model for congested road networks with queues , 2002 .

[5]  Serge P. Hoogendoorn,et al.  Pedestrian route-choice and activity scheduling theory and models , 2004 .

[6]  William H. K. Lam,et al.  NETWORK RESERVE CAPACITY UNDER INFLUENCE OF TRAVELER INFORMATION , 2003 .

[7]  Jiangqian Ying.  Continuous Optimization Method for Integrated Land Use/Transportation Models , 2007 .

[8]  Ying-En Ge,et al.  Optimising time-varying network flows by low-revenue tolling under dynamic user equilibrium , 2014, European Journal of Transport and Infrastructure Research.

[9]  M. D. Bok,et al.  Modelling land use in the Generic Urban Model , 2006 .

[10]  Ziyou Gao,et al.  Evolution and assessment of economic regulatory policies for expressway infrastructure in China , 2015 .

[11]  Huey-Kuo Chen,et al.  Dynamic Travel Choice Models , 1999 .

[12]  D. Hensher,et al.  Residential self-selection effects in an activity time-use behavior model , 2009 .

[13]  P. Waddell.  Towards a behavioral integration of land use and transportation modelling , 2000 .

[14]  Bg Heydecker.  Modelling dynamic transportation networks. An intelligent transportation system-oriented approach (second edition). , 1999 .

[15]  Haijun Huang,et al.  Combined Activity/Travel Choice Models: Time-Dependent and Dynamic Versions , 2003 .

[16]  Y. She.  Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods , 1985 .

[17]  Liyuan Zhao,et al.  Development of a Prototype Land Use Model for Statewide Transportation Planning Activities , 2011 .

[18]  Wilfred W. Recker,et al.  A Bridge between Travel Demand Modeling and Activity-Based Travel Analysis , 2000 .

[19]  Tomonori Sumi,et al.  A Microscopic Simulation of Evacuation Model Considering Car-Following Behavior under Flood , 2010 .

[20]  Cheng-Min Feng,et al.  Effect of Resource Allocation Policies on Urban Transport Diversity , 2009, Comput. Aided Civ. Infrastructure Eng..

[21]  R. Kitamura.  An evaluation of activity-based travel analysis , 1988 .

[22]  Ta Theo Arentze,et al.  Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment , 2003 .

[23]  H. Wang,et al.  Development of an Estimation Procedure for an Activity‐Based Travel Demand Model , 2008, Comput. Aided Civ. Infrastructure Eng..

[24]  H. Chen,et al.  Dynamic Travel Choice Models: A Variational Inequality Approach , 1998 .

[25]  D. Boyce,et al.  FORECASTING TRAVEL FOR VERY LARGE CITIES: CHALLENGES AND OPPORTUNITIES FOR CHINA , 2007 .

[26]  Terry L. Friesz,et al.  A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem , 1993, Oper. Res..

[27]  Ziyou Gao,et al.  Transport management measures in the post-Olympic Games period: supporting sustainable urban mobility for Beijing? , 2015 .

[28]  Hai Yang,et al.  Modeling the capacity and level of service of urban transportation networks , 2000 .

[29]  Shing Chung Josh Wong,et al.  An activity-based approach for scheduling multimodal transit services , 2010 .

[30]  C. Bhat.  The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions , 2008 .

[31]  Roger Mackett,et al.  A Bi-Level Model of the Relationship Between Transport and Residential Location , 2006 .

[32]  Susan L Handy,et al.  Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings , 2008 .

[33]  Hai-Jun Huang,et al.  A Stochastic Model for Combined Activity/Destination/Route Choice Problems , 2005, Ann. Oper. Res..

[34]  Shen Wei,et al.  Forecasting Travel for Very Large Cities:Challenges and Opportunities for China , 2006 .

[35]  H. M. Zhang,et al.  MODELING VARIABLE DEMAND EQUILIBRIUM UNDER SECOND-BEST ROAD PRICING , 2004 .

[36]  P. Waddell.  UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[37]  E. Miller,et al.  Towards Integrated Land Use and Transportation: A Dynamic Disequilibrium based Microsimulation Framework for Built Space Markets , 2012 .

[38]  Donggen Wang,et al.  A two-level multiple discrete-continuous model of time allocation to virtual and physical activities , 2011 .

[39]  Qiang Meng,et al.  Equity based land-use and transportation problem , 2006 .

[40]  Ziyou Gao,et al.  Multi-class Multi-modal Network Equilibrium with Regular Choice Behaviors: A General Fixed Point Approach , 2009 .

[41]  W. Y. Szeto,et al.  A Comparison of Dynamic User Optimal States with Zero, Fixed and Variable Tolerances , 2015 .

[42]  I. S. Lowry.  A model of metropolis , 1964 .

[43]  Cheng-Min Feng,et al.  A bi-level programming model for the land use – network design problem , 2003 .

[44]  Matthew J. Roorda,et al.  Assessing planning decisions by activity type during the scheduling process , 2011 .

[45]  Shing Chung Josh Wong,et al.  Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities , 2006 .

[46]  Daniel Müller,et al.  Issues in spatially explicit statistical land-use/cover change (LUCC) models: Examples from western , 2007 .

[47]  William H. K. Lam,et al.  An Activity-Based Land Use and Transportation Optimization Model , 2010 .

[48]  M. R. McCord,et al.  Urban transportation networks: Equilibrium analysis with mathematical programming methods: Yosef Sheffi. Prentice-Hall, Inc., Englewood Cliffs, NJ, U.S.A. 1985. 399 pp. + xvi. $40.95 , 1987 .

[49]  Chandra R. Bhat,et al.  A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions , 2005 .

[50]  Eric J. Miller,et al.  Current operational urban land‐use–transport modelling frameworks: A review , 2005 .

[51]  M. Wegener.  Overview of Land Use Transport Models , 2004 .

[52]  William H. K. Lam,et al.  A network equilibrium approach for modelling activity-travel pattern scheduling problems in multi-modal transit networks with uncertainty , 2013, Transportation.

[53]  Xizhao Zhou,et al.  An alternative definition of dynamic user optimum on signalised road networks , 2012 .

[54]  David E. Boyce,et al.  Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks , 1999 .

[55]  T. Arentze,et al.  Modeling Individuals’ Activity-Travel Rescheduling Heuristics: Theory and Numerical Experiments , 2002 .

[56]  Shing Chung Josh Wong,et al.  A Time-Dependent Activity and Travel Choice Model with Multiple Parking Options , 2005 .

[57]  Hai Yang,et al.  An Integrated Network Equilibrium Model of Urban Location and Travel Choices , 1998 .

[58]  Eric J. Miller,et al.  Integrating an Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission Models , 2010 .

[59]  Shing Chung Josh Wong,et al.  A Combined Land-Use and Transportation Model for Work Trips , 2000 .

[60]  Hai Yang,et al.  Models and algorithms for road network design: a review and some new developments , 1998 .

[61]  Anna Nagurney,et al.  Urban Location and Transportation in the Information Age: A Multiclass, Multicriteria Network Equilibrium Perspective , 2002 .

[62]  John E Abraham,et al.  Specification and Estimation of Nested Logit Model of Home, Workplaces, and Commuter Mode Choices by Multiple-Worker Households , 1997 .

[63]  Chandra R. Bhat,et al.  A Comprehensive Analysis of Built Environment Characteristics on Household Residential Choice and Auto Ownership Levels , 2007 .

[64]  William H. K. Lam,et al.  Network User Equilibrium Model for Scheduling Daily Activity Travel Patterns in Congested Networks , 2011 .

[65]  Hai-Jun Huang,et al.  Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues , 2002 .

[66]  Shing Chung Josh Wong,et al.  A reliability-based land use and transportation optimization model , 2011 .

[67]  J. D. Coelho,et al.  ON THE DESIGN OF LAND USE PLANS THROUGH LOCATIONAL SURPLUS MAXIMISATION , 1978 .

[68]  Shing Chung Josh Wong,et al.  A new methodology for calibrating the Lowry model , 1998 .

[69]  Chandra R. Bhat,et al.  A retrospective and prospective survey of time-use research , 1999 .

[70]  Xiaoning Zhang,et al.  Continuum modeling of park-and-ride services in a linear monocentric city with deterministic mode choice , 2009 .

[71]  Harry Timmermans,et al.  Progress in Activity-Based Analysis , 2005 .

[72]  Susan Grant-Muller,et al.  The Role of Tradable Credit Schemes in Road Traffic Congestion Management , 2014 .

[73]  Richard J. Balling,et al.  Generating Future Land-Use and Transportation Plans for High-Growth Cities Using a Genetic Algorithm , 2004 .

[74]  F. Southworth,et al.  Quasi-Dynamic Urban-Location Models with Endogenously Determined Travel Costs , 1979 .

[75]  Bin Ran,et al.  MODELING DYNAMIC TRANSPORTATION NETWORKS , 1996 .

[76]  Alan Wilson,et al.  Entropy in urban and regional modelling , 1972, Handbook on Entropy, Complexity and Spatial Dynamics.