Study on the Impacts of Urban Density on the Travel Demand Using GIS Spatial Analysis

被引：2

作者：

PENG, Hu ^{[1
]}

LU, Huapu ^{[1
]}

机构：

[1] Institute of Transportation Engineering, Tsinghua University, Beijing, 100084, China

来源：

Journal of Transportation Systems Engineering and Information Technology | 2007年 / 7卷 / 04期

关键词：

Distance measurement - Urban planning;

D O I：

10.1016/S1570-6672(07)60033-6

中图分类号：

学科分类号：

摘要：

Urban density is one of the most important factors for the assessment of travel demand. It not only reflects the intensity of travel demand but also provides an effective method to quantify the influencing factors of travel demand. In this paper, two cities, Dalian and Shenyang, have been selected for case study. GIS spatial analysis technique has been introduced to analyze the average characteristics of general density, urban densities and their spatial difference. According to the characteristics of travel demand, urban densities have been divided into single density and composite density. Then spatial analysis method and spatial statistics method have been used to study the influence of urban densities on the occurrence, distance, time, and mode of travel. It has been concluded that different urban densities have certain effect on different travel demand, and within certain threshold, there is an obvious monotonous relationship between urban density and travel demand. © 2007 China Association for Science and Technology.

引用

页码：90 / 95

共 50 条

[21] Neural network for travel demand forecast using GIS and remote sensing
Dantas, A
Yamamoto, K
Lamar, MV
Yamashita, Y
IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL IV, 2000, : 435 - 440
[22] Urban density: Concepts, data and GIS analysis
Ottens, HFL
Harts, JJ
GEOGRAPHICAL INFORMATION - FROM RESEARCH TO APPLICATION THROUGH COOPERATION, VOLS 1 AND 2, 1996, : 611 - 620
[23] Alignment analysis of urban railways based on passenger travel demand
Andersen, J. L. E.
Landex, A.
COMPUTERS IN RAILWAYS XII: COMPUTER SYSTEM DESIGN AND OPERATION IN RAILWAYS AND OTHER TRANSIT SYSTEMS, 2010, 114 : 337 - 348
[24] Analysis of Urban Residents' Travel Demand Based on Multiple Data
Qin, Xiao-min
INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY (ICMEIT 2018), 2018, : 645 - 650
[25] Urban density and spatial planning: The unforeseen impacts of Dutch devolution
Claassens, Jip
Koomen, Eric
Rouwendal, Jan
PLOS ONE, 2020, 15 (10):
[26] Assessing the spatial distribution of urban parks using GIS
Oh, Kyushik
Jeong, Seunghyun
LANDSCAPE AND URBAN PLANNING, 2007, 82 (1-2) : 25 - 32
[27] Urban Micro-circulation Bus Planning Based on Temporal and Spatial Travel Demand
Du, Bowen
Qiao, Yanan
Zhao, Jiejie
Sun, Leilei
Lv, Weifeng
Huang, Runhe
2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019), 2019, : 981 - 988
[28] Using GIS for analysis of urban systems
Du G.
GeoJournal, 2000, 52 (3) : 213 - 221
[29] Analysis of patterns of spatial occupancy in urban open space using behaviour maps and GIS
Barbara Goličnik Marušić
URBAN DESIGN International, 2011, 16 : 36 - 50
[30] Spatial Variation Analysis of Urban Air Pollution Using GIS: A Land Use Perspective
Zou B.
Xu S.
Zhang J.
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2017, 42 (02): : 216 - 222

← 1 2 3 4 5 →