01089611

Component

https://doi.org/10.3141/2076-21

http://scholar.google.com...iley&publication_year=2008

Transportation and land use planning are generally poorly coordinated, and the preferences of the general public are not well integrated into either activity. Appropriate land use patterns that meet the needs and desires of the public and the public sector are difficult to develop because of their extreme complexity and potential for disproportionate impacts on citizens. A structured public involvement protocol was developed to allow large groups of citizens to participate efficiently and effectively in the comprehensive planning process for a moderate-sized town in Indiana and to help in partially overcoming this problem. CommunityViz was used as the visualization tool to help residents understand better the differences between potential land development patterns. Fuzzy set modeling was used to derive the complex interplay of development pattern properties that were most and least preferred by citizens. The development patterns varied by percentage mixture of housing types, percentage mixture of land use types, percentage given over to greenspace, ratio of sidewalk to total paved area, and connectivity of the road network. These five parameters were chosen as the most useful and fundamental measures of differences between development patterns. Citizens’ preferences were derived on that basis. Public input for this town was successfully modeled. Resulting preference patterns were made available to city planners for use in updating their comprehensive plan. This research demonstrates a practical way to involve citizens in an orderly, useful manner in questions of joint transportation and land use planning.

01118266

English

pp 192-208

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309125918

Print

Figures (5) ; References (33) ; Tables (2)

Case studies; City planning; Consumer preferences; Forecasting; Fuzzy sets; Land use planning; Medium sized cities; Public participation; Real estate development; Transportation planning; Visualization

Integrated transportation systems

Jeffersonville (Indiana)

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 29 2008 3:21PM

• Comparison of Vehicle-Ownership Models
• Freeway Access to Public Transport: A Hierarchical Multimodal Choice Model
• How Far and with Whom Do People Socialize? Empirical Evidence About Distance Between Social Network Members
• Impact of Route Choice Set on Route Choice Probabilities
• Influence of Transportation Access and Market Dynamics on Property Values: Multilevel Spatiotemporal Models of Housing Price
• Integrated Analysis of Toll Lanes and Bus Priority Lanes
• Integrated Transportation Land Use Models for Calculations of Wider Economic Benefit in Transport Schemes
• Integrating Household-Level Mode Choice and Modal Expenditure Decisions in a Developing Country: Multiple Discrete–Continuous Extreme Value Model
• Integration of Activity-Based Modeling and Dynamic Traffic Assignment
• Joint Modeling Analysis of Trip-Chaining Behavior on Round-Trip Commute in the Context of Xiamen, China
• Joint Models of Home-Based Tour Mode and Destination Choices: Applications to a Developing Country
• Modeling Daily Activity–Travel Tour Patterns Incorporating Activity Scheduling Decision Rules
• Nonlinear, Secondary Impacts of Large Urban-Edge Developments as Evidence of Path Dependency in Integrated Land Use and Transportation Model
• Policy Effects on Decisions Under Uncertain Conditions: Simulation with Mixed Logit Models of Toll Expressway Use
• Population Updating System Structures and Models Embedded in the Comprehensive Econometric Microsimulator for Urban Systems
• Social Context of Activity Scheduling: Discrete–Continuous Model of Relationship Between “with Whom” and Episode Start Time and Duration
• Soft Discretization in a Classification Model for Modeling Adaptive Route Choice with a Fuzzy ID3 Algorithm
• The Factor of Revisited Path Size: Alternative Derivation
• Time-of-Day Choice Modeling for Long-Distance Trips
• Time-of-Day Modeling in a Tour-Based Context: Tel Aviv Experience
• Toll Demand Model for the Delaware Department of Transportation Travel Demand Model
• Travel Mode Choice Modeling with Support Vector Machines