Quantifying Spatial Characteristics of Cities
Bibliographic Data
| ID | 10859617 |
|---|---|
| Authors | Sumeeta Srinivasan (Harvard University, corresponding author) |
| Year | 2002 |
| Volume | 39 |
| Issue | 11 |
| Pages | 2005-2028 |
| Publication date | 2002-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Studies (JOURNAL) |
| Journal identifiers | ISSN: 0042-0980 • E-ISSN: 1360-063X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1080/0042098022000011335 |
| OpenAlex | W2054668092 |
| Language | EN |
| Citations received | 14 |
| References cited | 20 |
Land-use initiatives represent a potentially effective tool for coping with the kinds of mobility pattern that North American cities faced in the 1990s and still face in the present century. As fine-grained data about land use and travel activity become available, they provide the opportunity to improve our understanding of the linkage between land use and transport. This paper examines in detail the neighbourhood characteristics that could affect mode choice on the work and non-work tour. Neighbourhood characteristics include land use, network and accessibility-related characteristics which are quantified through the use of geographical information systems (GIS). Ultimately, such measures could be used in conjunction with detailed surveys of travel behaviour to specify, calibrate and use models of modal choice and residential choice that are more sensitive to the fine-grained spatial structure of neighbourhoods and transport corridors in metropolitan areas. Micro-level data for the Boston metro area, together with a 1991 activity survey of approximately 10 000 residents, provide a rich empirical basis for experimenting with relevant neighbourhood measures and for simulating the effects on travel behaviour. We find that spatial characteristics do affect mode choice, both for the relatively (spatially) restricted non-work tour and the work tour
Civil engineering · Geography · Land use · Metropolitan area · Modal · Mode choice · Neighbourhood (mathematics · Public transport · Regional science · Survey data collection · Transport engineering · Travel behavior · Travel survey · Work (physics · Computer Science · Engineering · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Urban Transport and Accessibility
Comparing measures of urban land use mix
The development and testing of an audit for the pedestrian environment
Influence of environmental street characteristics on walking route choice of elderly people
Compact City and Urban Sprawl
The relationship between non-motorized mode choice and the local physical environment
Walking and jobs
Commuting trips within tours
Carpool to work
Travel behavior of low-income residents
Catalysts and magnets
Layering Natural Resource and Human Resource Data for Planning Watershed Conservation Strategies
Good” Neighborhoods in Portland, Oregon
The Modal Split of Cities
Le smart growth et le nouvel urbanisme
Textural Features for Image Classification
Location Characteristics of Inner-City Neighborhoods and Employment Accessibility of Low-Wage Workers
Does neighborhood design influence travel?
Accessibility indicators for transport planning
Travel demand and the 3Ds
An Introduction to Latent Variable Models
Indicators of urban accessibility
The measurement of accessibility
On Form versus Function
Understanding the Link Between Urban Form and Nonwork Travel Behavior
Geographic Information Systems. Socioeconomic Applications
An Axiomatic Approach to a Measure of Land-Use Mixture
| Citations per year | 0.64 |
|---|---|
| Citation span | 2004 - 2020 (17) |
| Highly cited | No |